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Article

Haptic and Force Feedback Technology in Dental Education: A Bibliometric Analysis

1
School of Dentistry, Chung Shan Medical University, Taichung 40201, Taiwan
2
Department of Dentistry, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(2), 1318; https://doi.org/10.3390/ijerph20021318
Submission received: 9 December 2022 / Revised: 8 January 2023 / Accepted: 9 January 2023 / Published: 11 January 2023
(This article belongs to the Special Issue Advances of Digital Dentistry and Prosthodontics)

Abstract

:
The haptic and force feedback technology has received an increasing attention in dental schools due to its effectiveness in psychomotor skill training. However, the bibliometric analysis on haptic and force feedback technology in dental education is still scarce. Therefore, the aim of this study was to perform a bibliometric analysis of the development of haptic and force feedback technology and its changing trends in dental education. From 1 January 2001 to 30 November 2022, all papers published on haptic and force feedback technology were searched from the Web of Science Core Collection database. These data were then entered into Apple Numbers for descriptive bibliometric analysis and visualized using VOSviewer software. A total of 85 articles were retrieved following the inclusive and exclusive criteria. The results demonstrated that USA and China exhibited the most publications. The combination of correspondence author and author co-citation analysis identified the more prominent authors in this research field. The top-cited and the average citation count per year ranking led to different views of popularity. A significant increase in the number of haptic and force feedback technology publications were found in the last two years. Virtual reality is the main keyword that indicates more new integrative applications currently underway. Taken together, this study provides a detailed bibliographic analysis of haptic and force feedback technology in dental education to indicate representative authors, literatures, keywords, and trends. These detailed data will help researchers, teachers, and dental students as a very useful information when trying to make haptic and force feedback technology more prevalent in dental education in the near further.

1. Introduction

Haptic and force-feedback technology allows a user to experience tactile feeling or a sense of touch when operating an instrument [1]. The force-feedback device first used in dental education was developed by the University of Iowa for the detection of caries cavities [2]. Haptic and force feedback technology was considered an add-on function of the pure-vision virtual environment that could facilitate dental students with a more real operating scenario [1]. Dental students can improve their skills in haptic and force-feedback environments and let the skill levels be differentiated and identified [3]. The skill perception from haptic and force feedback technology can also be transferred to real operation situations [4].
Bibliometrics is a commonly used mathematical and statistical tool for the literature analysis of books, papers, or other publications. It is a systematic research analysis method for citation patterns in the literature. The quantitative evaluation was used to analyze bibliographic information including number of citations, citation density, citation ranking, and impact factor. In addition, the bibliometrics information about author such as co-authorship’s country, institutional affiliation, and productivity of researchers were also evaluated. These analyses are helpful for understanding the history of academic activities, identifying current research interests, and guiding potential future research directions [5]. Bibliometric analysis has been evaluated in various fields of dentistry, oral surgery and medicine such as the characteristics of a specific journal [6,7], dental education [8], and platelet-rich fibrin [5]. Since 2001, there were several articles reported on the popularity of various haptic and force feedback technology in dental education [1,9]. As far as we know, there is still limited information about the applications, demographic distributions, and the overall trend of developments about this innovative technology. Therefore, the aim of this study was to provide a bibliometric analysis of haptic and force feedback technology, trying to provide an overview and provide a different perspective on its application in dental education.

2. Materials and Methods

2.1. Database and Search Strategy Selection

The Web of Science database (Clarivate Analytics, Philadelphia, PA, USA) is the oldest database designed for more detailed citation analysis for researchers [10]. In this study, Web of Science, with its sub-databases including Science Citation Index Expanded (SCIE) and the Social Science Citation Index (SSCI), was assessed from 1 January 2001, to 30 November 2022. The search strategy was Topic = (“dental haptic”) OR Topic = (“dental force feedback”) AND Topic = (“dental education”) searched in the title and abstract sections. The exclusion criteria were applied to the following conditions: (1) not focus on haptic/force feedback technologies in dental education; (2) duplicated article; (3) a conference abstract. After the process of exclusion, the bibliometric data of the included references were exported from Web of Science for further analysis. As illustrated in Figure 1, the selective strategy was according to PRISMA flow diagram [11].

2.2. Bibliometric Analysis

The extracted bibliometric data with different indexes such as number of articles, authors, affiliations, publication year, citation counts, geographical distribution, keywords, and references were exported to Numbers (Apple Inc., Cupertino, CA, USA) for the descriptive bibliometric analysis. The geographical distribution was recorded from the address of correspondence author. The VOSviewer (Visualization of Similarities Viewer, VOS) software version 1.6.18 was used in this study, which is a metric analysis tool developed by Need Jan van Eck and Ludo Waltman of the Leiden University’s Centre for Science and Technology Studies in Netherland. It is a popular tool in literature metrics research to present the visualized knowledge graph of the data obtained according to the principles of literature analysis [12].

3. Results

3.1. Article Types

A total of 118 articles were identified by the search strategy from the Web of Science database. A total of 33 articles were excluded for the reasons due to not focus on haptic and force feedback technologies in dental education. The most frequently published article type was original articles (n = 75), followed by review (n = 7), editorial material (n = 2), and letter to editor (n = 1). The total 85 articles within the selected criteria were listed in Table 1.

3.2. Authors, Affiliations, and Country

Regarding the authorship productivity, the most frequently published corresponding authors were Dang-Xiao Wang (n = 5), Siriwan Suebnukarn (n = 5), and Yu-Chao Chang (n = 3). As shown in Figure 2, the author co-citation network contributed with a minimum of ten citations of an author were illustrated by VOSviewer. Siriwan Suebnukarn ranked as the top one scholar in the author co-citation network. About the relation to the authors’ affiliations were illustrated in Figure 3. From VOSviewer, the network visualization of thirteen co-authorship of affiliations published at a minimum of three articles were demonstrated. The top three affiliations were Beihang University, Thammasat University, and Peking University.
The most top publications from total 31 countries were USA (n = 18, 21%) and China (n = 18, 21%), followed by England (n = 9, 10.5%), and Thailand (n = 8, 9.4%). The co-authorship network of countries that contributed minimum three articles with overlay visualization were illustrated in Figure 4.

3.3. Citation Count

Figure 5 displays the annual number of publication per year with the annual total citation count, the number of publication increased in recent two years. The article from Thomas et al. [2] in 2001 was the first report about haptic and force feedback technology in dental education. However, there was no publication about haptic and force feedback technology in dentistry until 2006. The highest total citation counts were found in 2011.
The ranking of 30 most top-cited articles is enumerated in Table 2, the characteristics of each article was recorded as followings: article title, article type, the address of correspondence author country, publication year, total citation counts, and average citations per year. The most cited article is a review article “A review of the use of simulation in dental education” [45]. The total citation number was up to 98 during past 7 years. The second most cited article is also a review article “A review of simulators with haptic devices for medical training” [1]. The total citation number was up to 96 during past 6 years. The third most cited article is an original article “Assessment of faculty perception of content validity of PerioSim©, a haptic-3D virtual reality dental training simulator” [15]. The total citation number was up to 74 during past 15 years.
The ranking of the top 10 most average citations per year articles is enumerated in Table 3. The most cited articles per year is an original article “The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery” [66] published in 2019 with 22.67 citations/year. The second most cited articles per year is an original article “A cross-sectional multicenter survey on the future of dental education in the era of COVID-19: Alternatives and implications” [73] published in 2021 with 20.00 citations/year. The third most cited articles per year is also the second most cited article shown in Table 2 “A review of simulators with haptic devices for medical training” [1] published in 2016 with 16.00 citations/year.

3.4. Keywords

As shown in Figure 6, a network visualization map of the most frequent author keywords (two or more common keywords) was illustrated by VOSviewer. Virtual reality is the subject of research shown in the yellow cluster. Dental education exhibits the main keyword in purple cluster associated with tooth drilling, COVID-19, and e-learning. The red cluster represented the haptic rendering domain. The brown cluster is studies related to the simulation of dental occlusion. In summary, virtual reality, dental education, and haptics were the top three keywords presented in this bibliometric analysis.
Figure 7 is portrayed by different colors within VOSviewer. The results indicate the keyword trends in recent research on haptic and force feedback technology in dental education, such as COVID-19, Simodont®, restorative dentistry, preclinical skill, haptic simulators, as well as tooth drilling, 3D printing, cephalometry, and dental occlusion.

4. Discussion

This study provides a constructive compilation of information on haptic and force feedback technology in dental education. It could help researchers to understand current trends, facilitate research for this technology, and even be implemented into regular dental curriculum. Virtual reality is the main keyword that accounts for the largest proportion of this bibliometric analysis in dental education [78]. During the current COVID-19 pandemic, virtual reality simulators have led to the development and application of this technology in many dental schools [80,93]. Haptic and force feedback technology combined with a VR simulator can compensate for the limitations of traditional phantom head-based motor skill training. In addition, unlimited reproducibility, objective evaluation of preparation by computer assessment, and cost reduction were also revealed [78]. Using haptic and force-feedback technology, it could narrow down the gap between preclinical and clinical skill level [70], reduce anxiety among novice dentists, and improve patient safety [84]. In 2015, the United Nations announced the Sustainable Development Goals, which have become a common task for all dental schools over the years. Therefore, the virtual digital 3D simulator has become a new favorite because of its ability to provide high quality education, reduce inequality, and decrease waste [87].
Currently, the application of haptic and force-feedback technology in dentistry is still limited to some disciplines, such as operative dentistry, which requires the skill of tooth preparation. In terms of recent keyword trends and the average number of citations per year, it can be found that some new techniques are being integrated with haptic and force feedback technology in new devices that have the potential to become more applicable in current preclinical learning and training. Recently, some haptic and force feedback devices could not only provide pre-clinical skill training, but also equipped with customized treatment model to achieve the goal of precision medicine. For example, intraoral scanner assembled digital models from patients were successfully imported into haptic 3D virtual reality simulator for the learning of teeth preparation before clinical managements [70,84]. Moreover, virtual 3D tooth creation form patients combined with haptic and force feedback technology were implemented in endodontic learning and training [94,95]. Recently, the haptic feedback technology was initiative in oral and maxillary surgery learning for lower impaction third molar extraction [96].
The data from WoS were only used for the analysis of the first author, resulting in the omission of other outstanding authors in the same article. In addition, the clustering results show that an author can only belong to the same group, and when the author is a cross-disciplinary or multi-specialty author, the clustering results do not naturally present the author characteristics; therefore, a modified analysis method may be developed to improve this imperfection [97].
Publications on haptic and force feedback technology in dental education were retrieved from WOS and the data was analyzed objectively and comprehensively. However, there are some limitations in this study. First, only one database Web of Science was adopted. Articles written in books, or conference proceedings were not covered in Web of Science. More databases would be added to compare the differences in the future. Second, the majority of Web of Science articles are in English. Therefore, most of the non-English language articles were neglected or excluded. Third, the recent 2-year growth trends predict an increase in the number of publications on haptic and force-feedback technology in dental education published in the preprint online database were not enrolled. Finally, the number of citations might reflect the impact or influence the article. However, this method has a potential lack of in-depth analysis of each article.
Despite these limitations, we believe the data that presented in this study still provide significant insight into the scope and type of the large body of haptic and force feedback technology in dental education. The number of censored studies of haptic and force feedback technology from WOS database over the past 20 years is relatively small (n = 85), perhaps haptic and force feedback technology is still needed to improve for mimicking more clinically relevant virtual realistic simulation training environment. However, it has many benefits in pre-clinical skills learning such as motor skill development, basic manual dexterity training and even facilitate patient safety [9,60]. Further experiments are necessary to expand and prove the training effectiveness of haptic and force feedback technology [9,80]. It will take time to make this issue more popular.

5. Conclusions

To the best of our knowledge, this is the first study to analyze the bibliometric data of haptic and force feedback technology in dental education. According to the results of bibliometric analysis, there has been an increasing tendency toward this topic over the most recent two years. Teaching motor skill is important for dental students. It is believed that more studies will be conducted in the future to confirm the reliability and validity of haptic and force feedback technology in dental education.

Author Contributions

Conceptualization, M.-H.H. and Y.-C.C.; methodology, M.-H.H. and Y.-C.C.; software, M.-H.H.; formal analysis, M.-H.H.; writing—original draft preparation, M.-H.H.; writing—review and editing, M.-H.H.; visualization, M.-H.H.; supervision, Y.-C.C.; project administration, M.-H.H. and Y.-C.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Escobar-Castillejos, D.; Noguez, J.; Neri, L.; Magana, A.; Benes, B. A review of simulators with haptic devices for medical training. J. Med. Syst. 2016, 40, 104. [Google Scholar] [CrossRef] [PubMed]
  2. Thomas, G.; Johnson, L.; Dow, S.; Stanford, C. The design and testing of a force feedback dental simulator. Comput. Methods Programs Biomed. 2001, 64, 53–64. [Google Scholar] [CrossRef] [PubMed]
  3. Mirghani, I.; Mushtaq, F.; Allsop, M.J.; Al-Saud, L.M.; Tickhill, N.; Potter, C.; Keeling, A.; Mon-Williams, M.A.; Manogue, M. Capturing differences in dental training using a virtual reality simulator. Eur. J. Dent. Educ. 2018, 22, 67–71. [Google Scholar] [CrossRef] [PubMed]
  4. de Boer, I.R.; Lagerweij, M.D.; Wesselink, P.R.; Vervoorn, J.M. The effect of variations in force feedback in a virtual reality environment on the performance and satisfaction of dental students. Simul. Healthc. 2019, 14, 169–174. [Google Scholar] [CrossRef] [PubMed]
  5. Yu, H.Y.; Chang, Y.C. A bibliometric analysis of platelet-rich fibrin in dentistry. Int. J. Environ. Res. Public Health 2022, 19, 12545. [Google Scholar] [CrossRef]
  6. Liu, F.H.; Yu, C.H.; Chang, Y.C. Bibliometric analysis of articles published in journal of dental sciences from 2009 to 2020. J. Dent. Sci. 2022, 17, 642–646. [Google Scholar] [CrossRef]
  7. Yang, L.C.; Liu, F.H.; Liu, C.M.; Yu, C.H.; Chang, Y.C. Bibliometric analysis of top-cited articles in Journal of Dental Sciences. J. Dent. Sci. 2023, 18, 338–344. [Google Scholar] [CrossRef]
  8. Ullah, R.; Adnan, S.; Afzal, A.S. Top-cited articles from dental education journals, 2009 to 2018: A bibliometric analysis. J. Dent. Educ. 2019, 83, 1382–1391. [Google Scholar] [CrossRef]
  9. Al-Saud, L.M. The utility of haptic simulation in early restorative dental training: A scoping review. J. Dent. Educ. 2021, 85, 704–721. [Google Scholar] [CrossRef]
  10. Falagas, M.E.; Pitsouni, E.I.; Malietzis, G.A.; Pappas, G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB J. 2008, 22, 338–342. [Google Scholar] [CrossRef]
  11. Liberati, A.; Altman, D.G.; Tetzlaff, J.; Mulrow, C.; Gotzsche, P.C.; Ioannidis, J.P.; Clarke, M.; Devereaux, P.J.; Kleijnen, J.; Moher, D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Med. 2009, 6, 1000100. [Google Scholar] [CrossRef]
  12. VOSviewer—Visualizing Scientfic Landscapes. Available online: https://www.vosviewer.com (accessed on 31 October 2022).
  13. Kusumoto, N.; Sohmura, T.; Yamada, S.; Wakabayashi, K.; Nakamura, T.; Yatani, H. Application of virtual reality force feedback haptic device for oral implant surgery. Clin. Oral Implant. Res. 2006, 17, 708–713. [Google Scholar] [CrossRef]
  14. Kim, L.; Park, S.H. Haptic interaction and volume modeling techniques for realistic dental simulation. Visual. Comput. 2006, 22, 90–98. [Google Scholar] [CrossRef]
  15. Steinberg, A.D.; Bashook, P.G.; Drummond, J.; Ashrafi, S.; Zefran, M. Assessment of faculty perception of content validity of PerioSim©, a haptic-3D virtual reality dental training simulator. J. Dent. Educ. 2007, 71, 1574–1582. [Google Scholar] [CrossRef]
  16. Marras, I.; Nikolaidis, N.; Mikrogeorgis, G.; Lyroudia, K.; Pitas, I. A virtual system for cavity preparation in endodontics. J. Dent. Educ. 2008, 72, 494–502. [Google Scholar] [CrossRef]
  17. Suebnukarn, S.; Phatthanasathiankul, N.; Sombatweroje, S.; Rhienmora, P.; Haddawy, P. Process and outcome measures of expert/novice performance on a haptic virtual reality system. J. Dent. 2009, 37, 658–665. [Google Scholar] [CrossRef]
  18. Ohtani, T.; Kusumoto, N.; Wakabayashi, K.; Yamada, S.; Nakamura, T.; Kumazawa, Y.; Yatani, H.; Sohmura, T. Application of haptic device to implant dentistry—Accuracy verification of drilling into a pig bone. Dent. Mater. J. 2009, 28, 75–81. [Google Scholar] [CrossRef] [Green Version]
  19. Wang, D.X.; Zhang, Y.; Wang, Y.; Lü, P.; Zhou, R.; Zhou, W. Haptic rendering for dental training system. Sci. China Ser. F Inf. Sci. 2009, 52, 529–546. [Google Scholar] [CrossRef]
  20. Rhienmora, P.; Haddawy, P.; Khanal, P.; Suebnukarn, S.; Dailey, M.N. A virtual reality simulator for teaching and evaluating dental procedures. Methods Inf. Med. 2010, 49, 396–405. [Google Scholar]
  21. Suebnukarn, S.; Haddawy, P.; Rhienmora, P.; Jittimanee, P.; Viratket, P. Augmented kinematic feedback from haptic virtual reality for dental skill acquisition. J. Dent. Educ. 2010, 74, 1357–1366. [Google Scholar] [CrossRef]
  22. Konukseven, E.I.; Onder, M.E.; Mumcuoglu, E.; Kisnisci, R.S. Development of a visio-haptic integrated dental training simulation system. J. Dent. Educ. 2010, 74, 880–891. [Google Scholar] [CrossRef] [PubMed]
  23. Wu, J.; Wang, D.; Wang, C.C.L.; Zhang, Y. Toward stable and realistic haptic interaction for tooth preparation simulation. J. Comput. Inf. Sci. Eng. 2010, 10, 021007. [Google Scholar] [CrossRef]
  24. Pohlenz, P.; Gröbe, A.; Petersik, A.; von Sternberg, N.; Pflesser, B.; Pommert, A.; Höhne, K.H.; Tiede, U.; Springer, I.; Heiland, M. Virtual dental surgery as a new educational tool in dental school. J. Craniomaxillofac. Surg. 2010, 38, 560–564. [Google Scholar] [CrossRef] [PubMed]
  25. Suebnukarn, S.; Hataidechadusadee, R.; Suwannasri, N.; Suprasert, N.; Rhienmora, P.; Haddawy, P. Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models. Int. Endod. J. 2011, 44, 983–989. [Google Scholar] [CrossRef] [PubMed]
  26. Yoshida, Y.; Yamaguchi, S.; Kawamoto, Y.; Noborio, H.; Murakami, S.; Sohmura, T. Development of a multi-layered virtual tooth model for the haptic dental training system. Dent. Mater. J. 2011, 30, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Rhienmora, P.; Haddawy, P.; Suebnukarn, S.; Dailey, M.N. Intelligent dental training simulator with objective skill assessment and feedback. Artif. Intell. Med. 2011, 52, 115–121. [Google Scholar] [CrossRef] [PubMed]
  28. Senkal, D.; Konukseven, E.I. Passive haptic interface with MR-brakes for dental implant surgery. Presence 2011, 20, 207–222. [Google Scholar] [CrossRef]
  29. Arbabtafti, M.; Moghaddam, M.; Nahvi, A.; Mahvash, M.; Richardson, B.; Shirinzadeh, B. Physics-based haptic simulation of bone machining. IEEE Trans. Haptics 2011, 4, 39–50. [Google Scholar] [CrossRef]
  30. Gal, G.B.; Weiss, E.I.; Gafni, N.; Ziv, A. Preliminary assessment of faculty and student perception of a haptic virtual reality simulator for training dental manual dexterity. J. Dent. Educ. 2011, 75, 496–504. [Google Scholar] [CrossRef]
  31. Urbankova, A.; Engebretson, S.P. The use of haptics to predict preclinic operative dentistry performance and perceptual ability. J. Dent. Educ. 2011, 75, 1548–1557. [Google Scholar] [CrossRef]
  32. Dangxiao, W.; Yuru, Z.; Jianxia, H.; Yong, W.; Peijun, L.; Yonggang, C.; Hui, Z. iDental: A haptic-based dental simulator and its preliminary user evaluation. IEEE Trans. Haptics 2012, 5, 332–343. [Google Scholar]
  33. Kasahara, Y.; Kawana, H.; Usuda, S.; Ohnishi, K. Telerobotic-assisted bone-drilling system using bilateral control with feed operation scaling and cutting force scaling. Int. J. Med. Robot. 2012, 8, 221–229. [Google Scholar] [CrossRef]
  34. Urbankova, A.; Eber, M.; Engebretson, S.P. A complex haptic exercise to predict preclinical operative dentistry performance: A retrospective study. J. Dent. Educ. 2013, 77, 1443–1450. [Google Scholar] [CrossRef]
  35. Ullah, F.; Park, K. Development of a surface-based virtual dental sculpting simulator with multimodal feedback. Int. J. Precis. Eng. Manufact. 2013, 14, 577–587. [Google Scholar] [CrossRef]
  36. Zheng, F.; Feng Lu, W.; San Wong, Y.; Weng Chiong Foong, K. Graphic processing units (GPUs)-based haptic simulator for dental implant surgery. J. Comput. Inf. Sci. Eng. 2013, 13, 041005. [Google Scholar] [CrossRef]
  37. Anderson, P.; Chapman, P.; Ma, M.; Rea, P. Real-time medical visualization of human head and neck anatomy and its applications for dental training and simulation. Cur. Med. Imag. Rev. 2014, 9, 298–308. [Google Scholar] [CrossRef]
  38. Ben-Gal, G.; Weiss, E.I.; Gafni, N.; Ziv, A. Testing manual dexterity using a virtual reality simulator: Reliability and validity. Eur. J. Dent. Educ. 2013, 17, 138–142. [Google Scholar] [CrossRef]
  39. Kozhevnikov, M.; Schloerb, D.W.; Blazhenkova, O.; Koo, S.; Karimbux, N.; Donoff, R.B.; Salcedo, J. Egocentric versus allocentric spatial ability in dentistry and haptic virtual reality training. Appl. Cognit. Psychol. 2013, 27, 373–383. [Google Scholar] [CrossRef]
  40. Suebnukarn, S.; Chaisombat, M.; Kongpunwijit, T.; Rhienmora, P. Construct validity and expert benchmarking of the haptic virtual reality dental simulator. J. Dent. Educ. 2014, 78, 1442–1450. [Google Scholar] [CrossRef]
  41. Wang, D.; Shi, Y.; Liu, S.; Zhang, Y.; Xiao, J. Haptic simulation of organ deformation and hybrid contacts in dental operations. IEEE Trans. Haptics 2014, 7, 48–60. [Google Scholar] [CrossRef]
  42. Eve, E.J.; Koo, S.; Alshihri, A.A.; Cormier, J.; Kozhenikov, M.; Donoff, R.B.; Karimbux, N.Y. Performance of dental students versus prosthodontics residents on a 3D immersive haptic simulator. J. Dent. Educ. 2014, 78, 630–637. [Google Scholar] [CrossRef] [PubMed]
  43. Joseph, D.; Jehl, J.P.; Maureira, P.; Perrenot, C.; Miller, N.; Bravetti, P.; Ambrosini, P.; Tran, N. Relative contribution of haptic technology to assessment and training in implantology. Biomed. Res. Int. 2014, 2014, 413951. [Google Scholar] [CrossRef] [PubMed]
  44. Razavi, M.; Talebi, H.A.; Zareinejad, M.; Dehghan, M.R. A GPU-implemented physics-based haptic simulator of tooth drilling. Int. J. Med. Robot. 2015, 11, 476–485. [Google Scholar] [CrossRef] [PubMed]
  45. Perry, S.; Bridges, S.M.; Burrow, M.F. A review of the use of simulation in dental education. Simul. Healthc. 2015, 10, 31–37. [Google Scholar] [CrossRef] [PubMed]
  46. Ruthenbeck, G.S.; Reynolds, K.J. Virtual reality for medical training: The state-of-the-art. J. Simul. 2015, 9, 16–26. [Google Scholar] [CrossRef]
  47. Wang, D.; Zhao, S.; Li, T.; Zhang, Y.; Wang, X. Preliminary evaluation of a virtual reality dental simulation system on drilling operation. Biomed. Mater. Eng. 2015, 26, 747–756. [Google Scholar] [CrossRef] [Green Version]
  48. Wang, D.; Li, T.; Zhang, Y.; Hou, J. Survey on multisensory feedback virtual reality dental training systems. Eur. J. Dent. Educ. 2016, 20, 248–260. [Google Scholar] [CrossRef]
  49. Medellín-Castillo, H.I.; Govea-Valladares, E.H.; Pérez-Guerrero, C.N.; Gil-Valladares, J.; Lim, T.; Ritchie, J.M. The evaluation of a novel haptic-enabled virtual reality approach for computer-aided cephalometry. Comput. Methods Programs Biomed. 2016, 130, 46–53. [Google Scholar] [CrossRef]
  50. Wang, D.; Zhao, X.; Shi, Y.; Zhang, Y.; Hou, J.; Xiao, J. Six Degree-of-freedom haptic simulation of probing dental caries within a narrow oral cavity. IEEE Trans. Haptics 2016, 9, 279–291. [Google Scholar] [CrossRef]
  51. Wu, W.; Cen, Y.; Hong, Y.; Keeling, A.; Khambay, B. A pilot study to assess the feasibility and accuracy of using haptic technology to occlude digital dental models. J. Dent. 2016, 46, 54–60. [Google Scholar] [CrossRef]
  52. Al-Saud, L.M.; Mushtaq, F.; Allsop, M.J.; Culmer, P.C.; Mirghani, I.; Yates, E.; Keeling, A.; Mon-Williams, M.A.; Manogue, M. Feedback and motor skill acquisition using a haptic dental simulator. Eur. J. Dent. Educ. 2017, 21, 240–247. [Google Scholar] [CrossRef] [Green Version]
  53. Perry, S.; Bridges, S.M.; Zhu, F.; Leung, W.K.; Burrow, M.F.; Poolton, J.; Masters, R.S. Getting to the root of fine motor skill performance in dentistry: Brain activity during dental tasks in a virtual reality haptic simulation. J. Med. Internet Res. 2017, 19, e371. [Google Scholar] [CrossRef]
  54. Wu, W.; Chen, H.; Cen, Y.; Hong, Y.; Khambay, B.; Heng, P.A. Haptic simulation framework for determining virtual dental occlusion. Int. J. Comput. Assist. Radiol. Surg. 2017, 12, 595–606. [Google Scholar] [CrossRef]
  55. Li, Y.; Zhang, S.; Ye, X. Penalty-based haptic rendering technique on medicinal healthy dental detection. Multimed. Tools Appl. 2017, 76, 10825–10835. [Google Scholar] [CrossRef]
  56. Perry, S.; Burrow, M.F.; Leung, W.K.; Bridges, S.M. Simulation and curriculum design: A global survey in dental education. Aust. Dent. J. 2017, 62, 453–463. [Google Scholar] [CrossRef] [Green Version]
  57. de Boer, I.R.; Lagerweij, M.D.; de Vries, M.W.; Wesselink, P.R.; Vervoorn, J.M. The effect of force feedback in a virtual learning environment on the performance and satisfaction of dental students. Simul. Healthc. 2017, 12, 83–90. [Google Scholar] [CrossRef]
  58. Corrêa, C.G.; Machado, M.; Ranzini, E.; Tori, R.; Nunes, F.L.S. Virtual reality simulator for dental anesthesia training in the inferior alveolar nerve block. J. Appl. Oral Sci. 2017, 25, 357–366. [Google Scholar] [CrossRef] [Green Version]
  59. Shah, P.; Chong, B.S. 3D imaging, 3D printing and 3D virtual planning in endodontics. Clin. Oral Investig. 2018, 22, 641–654. [Google Scholar] [CrossRef]
  60. Werz, S.M.; Zeichner, S.J.; Berg, B.I.; Zeilhofer, H.F.; Thieringer, F. 3D printed surgical simulation models as educational tool by maxillofacial surgeons. Eur. J. Dent. Educ. 2018, 22, 500–505. [Google Scholar] [CrossRef]
  61. Chen, X.; Sun, P.; Liao, D. A patient-specific haptic drilling simulator based on virtual reality for dental implant surgery. Int. J. Comput. Assist. Radiol. Surg. 2018, 13, 1861–1870. [Google Scholar] [CrossRef]
  62. Ria, S.; Cox, M.J.; Quinn, B.F.; San Diego, J.P.; Bakir, A.; Woolford, M.J. A scoring system for assessing learning progression of dental students’ clinical skills using haptic virtual workstations. J. Dent. Educ. 2018, 82, 277–285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Dwisaptarini, A.P.; Suebnukarn, S.; Rhienmora, P.; Haddawy, P.; Koontongkaew, S. Effectiveness of the multilayered caries model and visuo-tactile virtual reality simulator for minimally invasive caries removal: A randomized controlled trial. Oper. Dent. 2018, 43, 110–118. [Google Scholar] [CrossRef] [PubMed]
  64. Maliha, S.G.; Diaz-Siso, J.R.; Plana, N.M.; Torroni, A.; Flores, R.L. Haptic, physical, and Web-based simulators: Are they underused in maxillofacial surgery training? J. Oral Maxillofac. Surg. 2018, 76, 2424. [Google Scholar] [CrossRef] [PubMed]
  65. Towers, A.; Field, J.; Stokes, C.; Maddock, S.; Martin, N. A scoping review of the use and application of virtual reality in pre-clinical dental education. Br. Dent. J. 2019, 226, 358–366. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Ayoub, A.; Pulijala, Y. The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery. BMC Oral Health 2019, 19, 238. [Google Scholar]
  67. Seifert, L.B.; Schnurr, B.; Herrera-Vizcaino, C.; Begic, A.; Thieringer, F.; Schwarz, F.; Sader, R. 3D-printed patient individualised models vs cadaveric models in an undergraduate oral and maxillofacial surgery curriculum: Comparison of student’s perceptions. Eur. J. Dent. Educ. 2020, 24, 799–806. [Google Scholar] [CrossRef]
  68. Vincent, M.; Joseph, D.; Amory, C.; Paoli, N.; Ambrosini, P.; Mortier, E.; Tran, N. Contribution of haptic simulation to analogic training environment in restorative dentistry. J. Dent. Educ. 2020, 84, 367–376. [Google Scholar] [CrossRef]
  69. Haroon, Z.; Azad, A.A.; Sharif, M.; Aslam, A.; Arshad, K.; Rafiq, S. COVID-19 era: Challenges and solutions in dental education. J. Coll. Physicians Surg. Pak 2020, 30, 129–131. [Google Scholar]
  70. Serrano, C.M.; Wesselink, P.R.; Vervoorn, J.M. First experiences with patient-centered training in virtual reality. J. Dent. Educ. 2020, 84, 607–614. [Google Scholar] [CrossRef]
  71. González Bravo, L.; Fernández Sagredo, M.; Torres Martínez, P.; Barrios Penna, C.; Fonseca Molina, J.; Stanciu, I.D.; Nistor, N. Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students. Eur. J. Dent. Educ. 2020, 24, 706–714. [Google Scholar] [CrossRef]
  72. Liu, L.; Zhou, R.; Yuan, S.; Sun, Z.; Lu, X.; Li, J.; Chu, F.; Walmsley, A.D.; Yan, B.; Wang, L. Simulation training for ceramic crown preparation in the dental setting using a virtual educational system. Eur. J. Dent. Educ. 2020, 24, 199–206. [Google Scholar] [CrossRef]
  73. Haridy, R.; Abdalla, M.A.; Kaisarly, D.; Gezawi, M.E. A cross-sectional multicenter survey on the future of dental education in the era of COVID-19: Alternatives and implications. J. Dent. Educ. 2021, 85, 483–493. [Google Scholar] [CrossRef]
  74. Haji, Z.; Arif, A.; Jamal, S.; Ghafoor, R. Augmented reality in clinical dental training and education. J. Pak. Med. Assoc. 2021, 71, 42–48. [Google Scholar]
  75. Chehabeddine, S.; Jamil, M.H.; Park, W.; Sefo, D.L.; Loomer, P.M.; Eid, M. Bi-manual haptic-based periodontal simulation with finger support and vibrotactile feedback. ACM Trans. Multimed. Comput. Commun. Appl. 2021, 17, 1–17. [Google Scholar] [CrossRef]
  76. Yin, M.S.; Haddawy, P.; Suebnukarn, S.; Kulapichitr, F.; Rhienmora, P.; Jatuwat, V.; Uthaipattanacheep, N. Formative feedback generation in a VR-based dental surgical skill training simulator. J. Biomed. Inform. 2021, 114, 103659. [Google Scholar] [CrossRef] [PubMed]
  77. Collaço, E.; Kira, E.; Sallaberry, L.H.; Queiroz, A.C.M.; Machado, M.; Crivello, O., Jr.; Tori, R. Immersion and haptic feedback impacts on dental anesthesia technical skills virtual reality training. J. Dent. Educ. 2021, 85, 589–598. [Google Scholar] [CrossRef] [PubMed]
  78. Imran, E.; Adanir, N.; Khurshid, Z. Significance of haptic and virtual reality simulation (VRS) in the dental education: A review of literature. Appl. Sci. 2021, 11, 10196. [Google Scholar] [CrossRef]
  79. Corrêa, C.G.; Delamaro, M.E.; Chaim, M.L.; Nunes, F.L.S. Software testing automation of VR-based systems with haptic interfaces. Comput. J. 2021, 64, 826–841. [Google Scholar] [CrossRef]
  80. Clemente, M.P.; Moreira, A.; Pinto, J.C.; Amarante, J.M.; Mendes, J. The challenge of dental education after COVID-19 pandemic—present and future innovation study design. Inquiry 2021, 58, 469580211018293. [Google Scholar] [CrossRef]
  81. Li, Y.; Ye, H.; Ye, F.; Liu, Y.; Lv, L.; Zhang, P.; Zhang, X.; Zhou, Y. The current situation and future prospects of simulators in dental education. J. Med. Internet Res. 2021, 23, 23635. [Google Scholar] [CrossRef]
  82. Medellin-Castillo, H.I.; Zaragoza-Siqueiros, J.; Govea-Valladares, E.H.; de la Garza-Camargo, H.; Lim, T.; Ritchie, J.M. Haptic-enabled virtual training in orthognathic surgery. Virtual Real. 2021, 25, 53–67. [Google Scholar] [CrossRef]
  83. Urbankova, A.; Palomo, L.; Engebretson, S.P. A complex haptic exercise to predict pre-clinic operative dentistry performance: A prospective study. J. Dent. Educ. 2022, 86, 1628–1633. [Google Scholar] [CrossRef]
  84. Hsu, M.H.; Yang, H.W.; Liu, C.M.; Chen, C.J.; Chang, Y.C. Clinical relevant haptic simulation learning and training in tooth preparation. J. Dent. Sci. 2022, 17, 1454–1457. [Google Scholar] [CrossRef]
  85. Hattori, A.; Tonami, K.I.; Tsuruta, J.; Hideshima, M.; Kimura, Y.; Nitta, H.; Araki, K. Effect of the haptic 3D virtual reality dental training simulator on assessment of tooth preparation. J. Dent. Sci. 2022, 17, 514–520. [Google Scholar] [CrossRef]
  86. Ziane-Casenave, S.; Mauroux, M.; Devillard, R.; Kerouredan, O. Influence of practical and clinical experience on dexterity performance measured using haptic virtual reality simulator. Eur. J. Dent. Educ. 2022, 26, 838–848. [Google Scholar] [CrossRef]
  87. Hsu, M.H.; Yang, H.W.; Chang, Y.C. Perspectives on the implementation of haptic virtual reality simulator into dental curriculum. J. Dent. Sci. 2022, 17, 1443–1444. [Google Scholar] [CrossRef]
  88. Yang, P.Y.; Chang, Y.C. The haptic 3D virtual reality dental training simulator as a good educational tool in preclinical simulation learning. J. Dent. Sci. 2022, 17, 618–619. [Google Scholar] [CrossRef]
  89. Coro-Montanet, G.; Pardo Monedero, M.J.; Sanchez Ituarte, J.; de la Hoz Calvo, A. Train strategies for haptic and 3D simulators to improve the learning process in dentistry students. Int. J. Environ. Res. Public Health 2022, 19, 4081. [Google Scholar] [CrossRef]
  90. Rodrigues, P.; Esteves, A.; Botelho, J.; Machado, V.; Zagalo, C.; Zorzal, E.R.; Mendes, J.J.; Lopes, D.S. Usability, acceptance, and educational usefulness study of a new haptic operative dentistry virtual reality simulator. Comput. Methods Programs Biomed. 2022, 221, 106831. [Google Scholar] [CrossRef]
  91. Vincent, M.; Giess, R.; Balthazard, R.; Tran, N.; Mortier, É.; Joseph, D. Virtual aids and students’ performance with haptic simulation in implantology. J. Dent. Educ. 2022, 86, 1015–1022. [Google Scholar] [CrossRef]
  92. Rawal, S. Guided innovations: Robot-assisted dental implant surgery. J. Prosthet. Dent. 2022, 127, 673–674. [Google Scholar] [CrossRef] [PubMed]
  93. Liu, C.M.; Huang, P.S.; Chang, Y.C. Perspectives on the challenge and change of COVID-19 crisis on dental education. J. Dent. Sci. 2021, 16, 1039–1040. [Google Scholar] [CrossRef] [PubMed]
  94. Hsu, M.H.; Liu, C.M.; Chen, C.J.; Yang, H.W.; Chang, Y.C. Virtual 3D tooth creation for personized haptic simulation training in access cavity preparation. J. Dent. Sci. 2022, 17, 1850–1853. [Google Scholar] [CrossRef] [PubMed]
  95. Towers, A.; Dixon, J.; Field, J.; Martin, R.; Martin, N. Combining virtual reality and 3D-printed models to simulate patient-specific dental operative procedures-A study exploring student perceptions. Eur. J. Dent. Educ. 2021, 26, 393–403. [Google Scholar] [CrossRef]
  96. Lu, M.Y.; Peng, C.Y.; Chang, Y.C. Interns’ perception of haptic virtual reality oral surgery simulator learning for impacted lower third molar extraction. J. Dent. Sci. 2022, 17, 1825–1826. [Google Scholar] [CrossRef]
  97. Jeong, Y.K.; Song, M.; Ding, Y. Content-based author co-citation analysis. J. Informetr. 2014, 8, 197–211. [Google Scholar] [CrossRef]
Figure 1. The PRISMA selective strategy flow diagram.
Figure 1. The PRISMA selective strategy flow diagram.
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Figure 2. The author co-citation network that contributed with minimum ten times of citations of an author.
Figure 2. The author co-citation network that contributed with minimum ten times of citations of an author.
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Figure 3. The co-authorship network of affiliations published at a minimum of three articles in network visualization.
Figure 3. The co-authorship network of affiliations published at a minimum of three articles in network visualization.
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Figure 4. The co-authorship network of countries published at a minimum of three articles in overlay visualization.
Figure 4. The co-authorship network of countries published at a minimum of three articles in overlay visualization.
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Figure 5. The annual total citation counts and the production of haptic and force feedback technology studies in dental education from 2001 to 2022.
Figure 5. The annual total citation counts and the production of haptic and force feedback technology studies in dental education from 2001 to 2022.
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Figure 6. The most presented keywords of haptic and force feedback technology studies in this bibliometric analysis.
Figure 6. The most presented keywords of haptic and force feedback technology studies in this bibliometric analysis.
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Figure 7. Yearly distribution of overlay author keyword visualization after normalization. It shows that more research such as tooth drilling, 3D printing, cephalometry, and dental occlusion were published recently.
Figure 7. Yearly distribution of overlay author keyword visualization after normalization. It shows that more research such as tooth drilling, 3D printing, cephalometry, and dental occlusion were published recently.
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Table 1. The total 85 articles included in this study.
Table 1. The total 85 articles included in this study.
Article NumberArticle TitleJournal
1The design and testing of a force feedback dental simulator [2]Computer Methods and Programs in Biomedicine
2Application of virtual reality force feedback haptic device for oral implant surgery [13]Clinical Oral Implants Research
3Haptic interaction and volume modeling techniques for realistic dental simulation [14]The Visual Computer
4Assessment of faculty perception of content validity of PerioSim©, a haptic-3D virtual reality dental training simulator [15]Journal of Dental Education
5A virtual system for cavity preparation in endodontics [16]Journal of Dental Education
6Process and outcome measures of expert/novice performance on a haptic virtual reality system [17]Journal of Dentistry
7Application of haptic device to implant dentistry-accuracy verification of drilling into a pig bone [18]Dental Materials Journal
8Haptic rendering for dental training system [19]Science in China Series F-Information Sciences
9A virtual reality simulator for teaching and evaluating dental procedures [20]Methods of Information in Medicine
10Augmented kinematic feedback from haptic virtual reality for dental skill acquisition [21]Journal of Dental Education
11Development of a Visio-Haptic integrated dental training simulation system [22]Journal of Dental Education
12Toward stable and realistic haptic interaction for tooth preparation simulation [23]Journal of Computing & Information Science in Engineering
13Virtual dental surgery as a new educational tool in dental school [24]Journal of Cranio-Maxillofacial Surgery
14Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models [25]International Endodontic Journal
15Development of a multi-layered virtual tooth model for the haptic dental training system [26]Dental Materials Journal
16Intelligent dental training simulator with objective skill assessment and feedback [27]Artificial Intelligence in Medicine
17Passive haptic interface with MR-brakes for dental implant surgery [28]Presence: Teleoperators & Virtual Environments
18Physics-based haptic simulation of bone machining [29]IEEE Transactions on Haptics
19Preliminary assessment of faculty and student perception of a haptic virtual reality simulator for training dental manual dexterity [30]Journal of Dental Education
20The use of haptics to predict preclinic operative dentistry performance and perceptual ability [31]Journal of Dental Education
21iDental: a haptic-based dental simulator and its preliminary user evaluation [32]IEEE Transactions on Haptics
22Telerobotic-assisted bone-drilling system using bilateral control with feed operation scaling and cutting force scaling [33]International Journal of Medical Robotics and Computer Assisted Surgery
23A complex haptic exercise to predict preclinical operative dentistry performance: a retrospective study [34]Journal of Dental Education
24Development of a surface-based virtual dental sculpting simulator with multimodal feedback [35]International Journal of Precision Engineering and Manufacturing
25Graphic processing units (GPUs)-based haptic simulator for dental implant surgery [36]Journal of Computing & Information Science in Engineering
26Real-time medical visualization of human head and neck anatomy and its applications for dental training and simulation [37]Current Medical Imaging Reviews
27Testing manual dexterity using a virtual reality simulator: reliability and validity [38]European Journal of Dental Education
28Egocentric versus allocentric spatial ability in dentistry and haptic virtual reality training [39]Applied Cognitive Psychology
29Construct validity and expert benchmarking of the haptic virtual reality dental simulator [40]Journal of Dental Education
30Haptic simulation of organ deformation and hybrid contacts in dental operations [41]IEEE Transactions on Haptics
31Performance of dental students versus prosthodontics residents on a 3D immersive haptic simulator [42]Journal of Dental Education
32Relative contribution of haptic technology to assessment and training in implantology [43]BioMed Research International
33A GPU-implemented physics-based haptic simulator of tooth drilling [44]International Journal of Medical Robotics and Computer Assisted Surgery
34A review of the use of simulation in dental education [45]Simulation in Healthcare
35Virtual reality for medical training: the state-of-the-art [46]Journal of Simulation
36Preliminary evaluation of a virtual reality dental simulation system
on drilling operation [47]
Bio-Medical Materials and Engineering
37A review of simulators with haptic devices for medical training [1]Journal of Medical Systems
38Survey on multisensory feedback virtual reality dental training systems [48]European Journal of Dental Education
39The evaluation of a novel haptic-enabled virtual reality approach for computer-aided cephalometry [49]Computer Methods and Programs in Biomedicine
40Six degree-of-freedom haptic simulation of probing dental caries within a narrow oral cavity [50]IEEE Transactions on Haptics
41A pilot study to assess the feasibility and accuracy of using haptic technology to occlude digital dental models [51]Journal of Dentistry
42Feedback and motor skill acquisition using a haptic dental simulator [52]European Journal of Dental Education
43Getting to the root of fine motor skill performance in dentistry: brain activity during dental tasks in a virtual reality haptic simulation [53]Journal of Medical Internet Research
44Haptic simulation framework for determining virtual dental occlusion
[54]
International Journal for Computer Assisted Radiology and Surgery
45Penalty-based haptic rendering technique on medicinal healthy dental detection [55]Multimedia Tools and Applications
46Simulation and curriculum design: a global survey in dental education [56]Australian Dental Journal
47The effect of force feedback in a virtual learning environment on the performance and satisfaction of dental students [57]Simulation in Healthcare
48Virtual reality simulator for dental anesthesia training in the inferior alveolar nerve block [58]Journal of Applied Oral Science
493D imaging, 3D printing and 3D virtual planning in endodontics [59]Clinical Oral Investigations
503D printed surgical simulation models as educational tool by maxillofacial surgeons [60]European Journal of Dental Education
51A patient-specific haptic drilling simulator based on virtual reality for dental implant surgery [61]International Journal for Computer Assisted Radiology and Surgery
52A scoring system for assessing learning progression of dental students’ clinical skills using haptic virtual workstations [62]Journal of Dental Education
53Capturing differences in dental training using a virtual reality simulator [3]European Journal of Dental Education
54Effectiveness of the multilayered caries model and visuo-tactile virtual reality simulator for minimally invasive caries removal: a randomized controlled trial [63]Operative Dentistry
55Haptic, physical, and web-based simulators: are they underused in maxillofacial surgery training? [64]Journal of Oral and Maxillofacial Surgery
56A scoping review of the use and application of virtual reality in pre-clinical dental education [65]British Dental Journal
57The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery [66]BMC Oral Health
58The effect of variations in force feedback in a virtual reality environment on the performance and satisfaction of dental students [4]Simulation in Healthcare
593D-printed patient individualised models vs cadaveric models in an undergraduate oral and maxillofacial surgery curriculum: comparison of student’s perceptions [67]European Journal of Dental Education
60Contribution of haptic simulation to analogic training environment in restorative dentistry [68]Journal of Dental Education
61COVID-19 era: challenges and solutions in dental education [69]Journal of College of Physicians and Surgeons Pakistan
62First experiences with patient-centered training in virtual reality [70]Journal of Dental Education
63Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students [71]European Journal of Dental Education
64Simulation training for ceramic crown preparation in the dental setting using a virtual educational system [72]European Journal of Dental Education
65A cross-sectional multicenter survey on the future of dental education in the era of COVID-19: Alternatives and implications [73]Journal of Dental Education
66Augmented reality in clinical dental training and education [74]Journal of Pakistan Medical Association
67Bi-manual haptic-based periodontal simulation with finger support and vibrotactile feedback [75]ACM Transactions on Multimedia Computing, Communications, and Applications
68Formative feedback generation in a VR-based dental surgical skill training simulator [76]Journal of Biomedical Informatics
69Immersion and haptic feedback impacts on dental anesthesia technical skills virtual reality training [77]Journal of Dental Education
70Significance of haptic and virtual reality simulation (VRS) in the dental education: a review of literature [78]Applied Sciences
71Software testing automation of VR-based systems with haptic interfaces [79]The Computer Journal
72The challenge of dental education after COVID-19 pandemic-present and future innovation study design [80]INQUIRY: The Journal of Health Care Organization, Provision, and Financing
73The current situation and future prospects of simulators in dental education [81]Journal of Medical Internet Research
74The utility of haptic simulation in early restorative dental training: A scoping review [9]Journal of Dental Education
75Haptic-enabled virtual training in orthognathic surgery [82]Virtual Reality
76A complex haptic exercise to predict pre-clinic operative dentistry performance: a prospective study [83]Journal of Dental Education
77Clinical relevant haptic simulation learning and training in tooth preparation [84]Journal of Dental Sciences
78Effect of the haptic 3D virtual reality dental training simulator on assessment of tooth preparation [85]Journal of Dental Sciences
79Influence of practical and clinical experience on dexterity performance measured using haptic virtual reality simulator [86]European Journal of Dental Education
80Perspectives on the implementation of haptic virtual reality simulator into dental curriculum [87]Journal of Dental Sciences
81The haptic 3D virtual reality dental training simulator as a good educational tool in preclinical simulation learning [88]Journal of Dental Sciences
82Train strategies for haptic and 3D simulators to improve the learning process in dentistry students [89]International Journal of Environmental Research and Public Health
83Usability, acceptance, and educational usefulness study of a new haptic operative dentistry virtual reality simulator [90]Computer Methods and Programs in Biomedicine
84Virtual aids and students’ performance with haptic simulation in implantology [91]Journal of Dental Education
85Guided innovations: robot-assisted dental implant surgery [92]Journal of Prosthetic Dentistry
Table 2. The top 30 most-cited articles based on the total citations.
Table 2. The top 30 most-cited articles based on the total citations.
RankArticle TitleDocument TypeCountryYearTotal CitationsAverage Citations Per Year
1A review of the use of simulation in dental education [45]Review articleChina20159814.00
2A review of simulators with haptic devices for medical training [1]Review articleMexico20169616.00
3Assessment of faculty perception of content validity of PerioSim©, a haptic-3D virtual reality dental training simulator [15]Original articleUSA2007744.93
4The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery [66]Original articleScotland20196822.67
5Physics-based haptic simulation of bone machining [29]Original articleIran2011544.91
6Application of virtual reality force feedback haptic device for oral implant surgery [13]Original articleJapan2006543.38
7Intelligent dental training simulator with objective skill assessment and feedback [27]Original articleThailand2011504.55
83D printed surgical simulation models as educational tool by maxillofacial surgeons [60]Original articleSwitzerland20184812.00
9Preliminary assessment of faculty and student perception of a haptic virtual reality simulator for training dental manual dexterity [30]Original articleIsrael2011484.36
10Process and outcome measures of expert/novice performance on a haptic virtual reality system [17]Original articleThailand2009473.62
11iDental: a haptic-based dental simulator and its preliminary user evaluation [32]Original articleChina2012464.60
12Virtual reality for medical training: the state-of-the-art [46]Original articleAustralia2015456.43
13Haptic interaction and volume modeling techniques for realistic dental simulation [14]Original articleSouth Korea2006442.75
14The design and testing of a force feedback dental simulator [2]Original articleUSA2001432.05
15Capturing differences in dental training using a virtual reality simulator [3]Original articleEngland20184210.50
16Feedback and motor skill acquisition using a haptic dental simulator [52]Original articleEngland2017418.20
17Virtual dental surgery as a new educational tool in dental school [24]Original articleGermany2010413.42
18A scoping review of the use and application of virtual reality in pre-clinical dental education [65]Review articleEngland20193812.67
193D imaging, 3D printing and 3D virtual planning in endodontics [59]Review articleEngland2018379.25
20Survey on multisensory feedback virtual reality dental training systems [48]Original articleChina2016376.17
21Telerobotic-assisted bone-drilling system using bilateral control with feed operation scaling and cutting force scaling [33]Original articleJapan2012343.40
22Performance of dental students versus prosthodontics residents on a 3D immersive haptic simulator [42]Original articleUSA2014334.13
23Virtual reality simulator for dental anesthesia training in the inferior alveolar nerve block [58]Original articleBrazil2017306.00
24Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models [25]Original articleThailand2011302.73
25Development of a multi-layered virtual tooth model for the haptic dental training system [26]Original articleJapan2011302.73
26A virtual reality simulator for teaching and evaluating dental procedures [20]Original articleThailand2010302.50
27Development of a Visio-Haptic integrated dental training simulation system [22]Original articleTurkey2010282.33
28Toward stable and realistic haptic interaction for tooth preparation simulation [23]Original articleChina2010262.17
29Haptic simulation of organ deformation and hybrid contacts in dental operations [41]Original articleChina2014232.88
30A virtual system for cavity preparation in endodontics [16]Original articleGreece2008231.64
Table 3. The top 10 most-cited articles based on the average citations pre year.
Table 3. The top 10 most-cited articles based on the average citations pre year.
RankArticle TitleDocument TypeCountryYearTotal CitationsAverage Citations Per Year
1The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery [66]Original articleScotland20196822.67
2A review of simulators with haptic devices for medical training [1]Review articleMexico20169616.00
3A review of the use of simulation in dental education [45]Review articleChina20159814.00
4A scoping review of the use and application of virtual reality in pre-clinical dental education [65]Review articleEngland20193812.67
53D printed surgical simulation models as educational tool by maxillofacial surgeons [60]Original articleSwitzerland20184812.00
6Capturing differences in dental training using a virtual reality simulator [3]Original articleEngland20184210.50
73D imaging, 3D printing and 3D virtual planning in endodontics [59]Review articleEngland2018379.25
8Feedback and motor skill acquisition using a haptic dental simulator [52]Original articleEngland2017418.20
9Virtual reality for medical training: the state-of-the-art [46]Original articleAustralia2015456.43
10Survey on multisensory feedback virtual reality dental training systems [48]Original articleChina2016376.17
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Hsu, M.-H.; Chang, Y.-C. Haptic and Force Feedback Technology in Dental Education: A Bibliometric Analysis. Int. J. Environ. Res. Public Health 2023, 20, 1318. https://doi.org/10.3390/ijerph20021318

AMA Style

Hsu M-H, Chang Y-C. Haptic and Force Feedback Technology in Dental Education: A Bibliometric Analysis. International Journal of Environmental Research and Public Health. 2023; 20(2):1318. https://doi.org/10.3390/ijerph20021318

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Hsu, Min-Hsun, and Yu-Chao Chang. 2023. "Haptic and Force Feedback Technology in Dental Education: A Bibliometric Analysis" International Journal of Environmental Research and Public Health 20, no. 2: 1318. https://doi.org/10.3390/ijerph20021318

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