Reorganisation and Construction of an Age-Friendly Smart Recreational Home System: Based on Function–Capability Match Methodology
Round 1
Reviewer 1 Report
Dear Author; We should expand a little more in the discussion part of the article. Together with the literature, you can support your conclusion and method in a little more detail in the discussion section of your study.
Author Response
Dear reviewer thank you very much for your review; we have carefully considered your comments and have restructured the article by adding a discussion section to complement the strengths of the methodology presented in the study.
You may refer to the following sections: The innovative home system has an application interface layer, a local area network communication layer, and an intelligent terminal device layer, and it is built on an independent cloud platform and a Wi-Fi wireless network. Furthermore, when combined with the experimental results of independent research and development, the user can choose to operate the control program's corresponding interface to adjust the home environment's functional requirements, household goods switch, furniture height, tilt, temperature, and other functions. The control program will also record the elderly's operation results, while real-time data collection and instant feedback. This provides database support for subsequent intelligent home product development. Developing healthy and comfortable, age-friendly home environments and furniture with the help of scientific research and emerging technologies has become a current and future research hot spot and industrial trend. This study builds intelligent home control systems and evaluation indicators based on the study of the living environment and furniture needs of elderly users, intending to improve the comfort of age-friendly homes, increase the health management of elderly users, improve the quality of life of elderly users, providing reference paths for the creation of modern elderly living environments and subsequent furniture development with age-friendly home systems and furniture products, and providing vital guidance for the sustainable development and iteration of age-friendly homes. It is significant for the sustainable development and iteration of age-friendly homes.
Distinguishing the traditional man-machine approach to studying the size of elderly furniture or elderly behavioural styles, this study innovatively constructs a theoretical model of age-appropriate home function-user living ability to form a mapping relationship between elderly home function and user ability. The method divides user capabilities into differentiated gradient ranges of capability deficiency, capability matching and capability surplus ranges. It focuses on the theoretical model, matching process and gradient construction of the matching function and needs of elderly users. The model can be divided into four modules, including the module of Internet interaction environment, the module of life ability acquisition, the module of product function iteration, and the module of user ability construction gradient, and the four modules constantly interact with each other and iterate, in order to achieve the goals of data collection, sustainable analysis, and iterative upgrading.
Reviewer 2 Report
The authors presented an idea of reorganization and construction of an age-friendly smart recreation system. However, the manuscript only presented a blurred outline and did not include any data collected, which makes the manuscript is not suitable for publication at this stage.
(1) All the sections are only descriptive. There is no experiment conducted, how can the authors know this idea works?
(2) How to measure competence in section 4?
(3) The so-called FCM function-competence matching theory is not clear and is not practical in implementation.
Extensive writing revision and reorganization of the manuscript are needed. Personally, the style of the manuscript does not fit my expectation of a scientific journal paper.
Author Response
Dear reviewer, thank you for your comments on the study, which are essential guidance for our subsequent research.
1) First, the methodology has now been simulated in the laboratory to establish the validation; the experimenters first collected a group of elderly volunteers' body data and simulated the state of their actions and behaviours when using the smart home. Finally, the behavioural ability thresholds of the elderly users in the three aspects of behaviour, cognition and perception were established.
2) Regarding assessing the actual ability of the elderly users, the experimentalists divided them into three aspects: behaviour, cognition and perception. They adopted different judging criteria for different abilities. In the behavioural aspect, the main criterion is electromyography, and the rest of the data is still in the confidentiality stage, so we cannot point it out in detail in the article.
3) The guidance and application of this method in actual daily life are briefly described in Chapter 5, and it has already been applied in the laboratory, realizing the integration of hardware and software in cloud synergistic development.
Reviewer 3 Report
This research paper investigates elderly interaction with their environment to propose "a theoretical approach and model for Function-Capability Matching (FCM) to provide concrete guidance for the design practice of model paths".
The abstract is not informative and cannot reveal the methodology, research aim, research question(s), and findings clearly. That causes ambiguity in showing the contribution of this research study to the field and what significant novelty the research results offer for the existing literature, the existing and ongoing studies, and the future studies.
The introduction consists of depth and breadth of sources to underpin the research rationale and aim. Figure-1 shows Human Information Process Model, which is hard to engage and cannot give the overall process to the potential readers. It also lacks sources for this information. The Figure requires significant revision. In general, figures will benefit from a revision to increase the clarity and engagement of this research work. Considering this topic is focusing on a design discipline that should not be overseen.
The English language is quite well, but there are some minor typos, and some sentences are too long. For example, on pages 10-11, lines 310-317:
“This study builds intelligent home control systems and evaluation indicators based on the study of the living environment and furniture needs of elderly users, intending to improve the comfort of age-friendly homes, increasing the health management of elderly users, improving the quality of life of elderly users, providing reference paths for the creation of modern elderly living environments and subsequent furniture development with elderly-friendly home systems and furniture products, and providing strong guidance for the sustainable development and iteration of elderly-friendly homes”.
The method is relevant and rigorous. The rationale of the study is relevant. There is some lack of references in the figures that I cannot follow in the text and / or in the reference list. The study findings are relevant to the discipline and although the authors have not discussed them in depth, they can be beneficial for several disciplines. It would be fruitful to see this kind of cross-disciplinary discussion of the results. Considering the aim of the study is to propose “a theoretical approach and model for Function-Capability Matching (FCM) to provide concrete guidance for the design practice of model paths”, it is imperative to include an in depth discussion in the conclusion part of this study in order to fulfil the aim of this study.
The elderly and their interaction with their environment, indoors or outdoors, is a hot topic with a rising population of the elderly in almost every country. The study proposes an insightful perspective on this topic. However, I strongly recommend revising the abstract and how the discussion and conclusion are presented. In the current format of the study, it is hard to engage with the results.
The English language is quite well, but there are some minor typos, and some sentences are too long. For example, on pages 10-11, lines 310-317:
“This study builds intelligent home control systems and evaluation indicators based on the study of the living environment and furniture needs of elderly users, intending to improve the comfort of age-friendly homes, increasing the health management of elderly users, improving the quality of life of elderly users, providing reference paths for the creation of modern elderly living environments and subsequent furniture development with elderly-friendly home systems and furniture products, and providing strong guidance for the sustainable development and iteration of elderly-friendly homes”.
Author Response
Dear reviewer, thank you for recognising the study and carefully reading your comments about it. We want to make the following responses to your comments.
1) Firstly, the abstract section should be revised according to your comments, primarily pointing out the background of the current study, results and significance. The modifications are as follows: Elderly users are unable to adapt to the technological dividend brought by the Internet of Everything as soon as possible due to the deterioration of cognitive and perceptual functions, especially in the state of development of modern intelligent homes whose users' practical operational capabilities cannot be matched. This situation creates a digital divide in which older users also need helpmate intelligent home systems. Current research on innovative home systems often lacks a focus on the elderly and a matching mapping between smart homes and operational capabilities. Therefore, this study proposes a theoretical approach and model based on the matching between smart home functions and older users' abilities. This modelling path provides specific guidance for actual smart home design practices. This study outlines the methodology, theoretical derivation, and construction of the user capability gradient for matching functions and requirements of elderly users. Based on the theoretical model, experimental data and threshold law in practical application, the age-appropriate intelligent home control system is developed independently, and the integrated development of hardware and software cloud synergy is realised respectively for the user pain points of elderly users to make up for the gap at this research level.
2) In response to Figure 1, we consider this a foundation for forming the study's methodology. Although it is part of the information processing section, it is an essential source of foundation for the study's methodology, so we have made a description and introduction.
3) The article lacked a discussion section to compare the strengths and practical guidance of the methodology proposed in the study, so we added a discussion section, as shown below: The innovative home system has an application interface layer, a local area network communication layer, and an intelligent terminal device layer, and it is built on an independent cloud platform and a Wi-Fi wireless network. Furthermore, when combined with the experimental results of independent research and development, the user can choose to operate the control program's corresponding interface to adjust the home environment's functional requirements, household goods switch, furniture height, tilt, temperature, and other functions. The control program will also record the elderly's operation results, while real-time data collection and instant feedback. This provides database support for subsequent intelligent home product development. Developing healthy and comfortable, age-friendly home environments and furniture with the help of scientific research and emerging technologies has become a current and future research hot spot and industrial trend. This study builds intelligent home control systems and evaluation indicators based on the study of the living environment and furniture needs of elderly users, intending to improve the comfort of age-friendly homes, increase the health management of elderly users, improve the quality of life of elderly users, providing reference paths for the creation of modern elderly living environments and subsequent furniture development with age-friendly home systems and furniture products, and providing vital guidance for the sustainable development and iteration of age-friendly homes. It is significant for the sustainable development and iteration of age-friendly homes.
Distinguishing the traditional man-machine approach to studying the size of elderly furniture or elderly behavioural styles, this study innovatively constructs a theoretical model of age-appropriate home function-user living ability to form a mapping relationship between elderly home function and user ability. The method divides user capabilities into differentiated gradient ranges of capability deficiency, capability matching and capability surplus ranges. It focuses on the theoretical model, matching process and gradient construction of the matching function and needs of elderly users. The model can be divided into four modules, including the module of Internet interaction environment, the module of life ability acquisition, the module of product function iteration, and the module of user ability construction gradient, and the four modules constantly interact with each other and iterate, in order to achieve the goals of data collection, sustainable analysis, and iterative upgrading.
Reviewer 4 Report
The article "Reorganisation and Construction of an Age-Friendly Smart Recreational Home System" presents a theoretical approach and model called Function-Capability Matching (FCM) to address the challenges faced by elderly users in adapting to the technological advancements brought about by the Internet of Everything. The paper offers a comprehensive overview of the methodology and theoretical derivation involved in designing model paths to cater to the specific needs and functions of elderly users.
The use of FCM as a guiding framework for the design practice is commendable, as it helps bridge the gap between the cognitive and perceptual decline experienced by elderly individuals and the complex technological systems of smart homes. By focusing on matching functions with the capabilities of elderly users, the proposed approach shows promise in providing concrete guidance for designing age-friendly smart recreational home systems.
One of the strengths of the article is its emphasis on addressing user pain points experienced by the elderly population. By incorporating experimental data and threshold laws, the study demonstrates a practical implementation of an age-appropriate intelligent home control system. This approach ensures that the system is tailored to meet the specific requirements of elderly users, enhancing their overall user experience and making it easier for them to interact with the technology.
The integration of software and hardware cloud collaboration is a valuable addition to the article. This demonstrates a comprehensive approach to the development of the smart recreational home system, ensuring that both aspects work in harmony to cater to the needs of elderly users effectively.
The use of relevant keywords and terminology, such as human-computer interaction, human factors, and age-friendly design, helps in contextualizing the study within the field of smart home technology and user-centered design for the elderly.
However, the article could benefit from providing more specific details on the theoretical model and its practical application in real-world scenarios. Additionally, incorporating examples or case studies of the implemented age-appropriate intelligent home control system would add practical insights into the system's performance and effectiveness.
Overall, "Reorganisation and Construction of an Age-Friendly Smart Recreational Home System: Based on Function-Capability Match Methodology" presents a valuable theoretical approach and model for creating age-friendly smart home systems. The article's emphasis on addressing the specific needs of elderly users through FCM and its practical implementation through software and hardware integration makes it a relevant and useful contribution to the field of age-friendly design and human-computer interaction.
The article "Reorganisation and Construction of an Age-Friendly Smart Recreational Home System" presents a theoretical approach and model called Function-Capability Matching (FCM) to address the challenges faced by elderly users in adapting to the technological advancements brought about by the Internet of Everything. The paper offers a comprehensive overview of the methodology and theoretical derivation involved in designing model paths to cater to the specific needs and functions of elderly users.
The use of FCM as a guiding framework for the design practice is commendable, as it helps bridge the gap between the cognitive and perceptual decline experienced by elderly individuals and the complex technological systems of smart homes. By focusing on matching functions with the capabilities of elderly users, the proposed approach shows promise in providing concrete guidance for designing age-friendly smart recreational home systems.
One of the strengths of the article is its emphasis on addressing user pain points experienced by the elderly population. By incorporating experimental data and threshold laws, the study demonstrates a practical implementation of an age-appropriate intelligent home control system. This approach ensures that the system is tailored to meet the specific requirements of elderly users, enhancing their overall user experience and making it easier for them to interact with the technology.
The integration of software and hardware cloud collaboration is a valuable addition to the article. This demonstrates a comprehensive approach to the development of the smart recreational home system, ensuring that both aspects work in harmony to cater to the needs of elderly users effectively.
The use of relevant keywords and terminology, such as human-computer interaction, human factors, and age-friendly design, helps in contextualizing the study within the field of smart home technology and user-centered design for the elderly.
However, the article could benefit from providing more specific details on the theoretical model and its practical application in real-world scenarios. Additionally, incorporating examples or case studies of the implemented age-appropriate intelligent home control system would add practical insights into the system's performance and effectiveness.
Overall, "Reorganisation and Construction of an Age-Friendly Smart Recreational Home System: Based on Function-Capability Match Methodology" presents a valuable theoretical approach and model for creating age-friendly smart home systems. The article's emphasis on addressing the specific needs of elderly users through FCM and its practical implementation through software and hardware integration makes it a relevant and useful contribution to the field of age-friendly design and human-computer interaction.
Author Response
Dear reviewer, thank you for your affirmation of this research and its application value; at present, we, based on the theoretical guidance of this methodology has been carried out in the laboratory simulation application, successfully constructed the hardware and software cloud synergistic integration of the smart home for the elderly application scheduling, the specific part in the fifth chapter section: Practical Verification: Smart Wellness Home System Pre-Architecture Design.
Round 2
Reviewer 2 Report
The authors have addressed all my comments. The manuscript could be accepted in its current format.
