Recent Advances and Perspectives in Human-Computer Interaction
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 4817
Special Issue Editors
Interests: human–computer interaction; usability; web accessibility; web technologies; cognitive science; UX design
Interests: human–computer interaction; machine learning; intelligent information systems; data mining; web design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over recent decades, research has been carried out in the field of human–computer interaction (HCI) to better and fully understand the development of information technologies in a user-oriented way. Thanks to the accumulated knowledge, specialists have been able to build increasingly more software applications and hardware devices easily used by users.
The human–computer interaction is a complex field concerning the intersection between computer and behavioural sciences, and includes knowledge formed in the fields of computer, social and engineering sciences, as well as psychology. The HCI field aims to minimize the barriers between people's mental models regarding the fulfilment of their goals and the technological provision of user tasks. In the user-centred design paradigm, products are designed according to the expectations of their potential users, i.e., designed to be usable. With the development of technologies, the field of human–computer interaction research has continued to expand to also include interactions with mobile devices, artificial intelligence, brain–computer technologies, robots, etc.
The development of user-oriented technologies is related to better understanding how people think and behave as well. The study of cognitive abilities and ways of forming complex information-processing skills has great importance in the field of HCI. People learn, remember and use information, coming to decisions in different ways. The development of usable technologies is mainly based on taking into account the individual characteristics of users as individuals from a given target audience.
There are various models in the field of information processing, developed with the aim of forming knowledge about human nature and supporting the development of user-oriented technologies. One of the main tasks of this Special Issue is to offer a scientific forum for information processing research to contribute to the development of theories in the field of the human–computer interaction.
This Special Issue aims to highlight novel opportunities and challenges faced in the research of multidimensional aspects from the human–computer interaction perspective, especially targeting its cognitive part. Our aspiration is to form a dedicated Special Issue to bring together research on potential topics such as:
- HCI for people with special needs and for elderly users;
- Study of user behaviour through means of machine learning, artificial intelligence and data mining;
- Information processing methods;
- Multidimensional aspects of information design;
- HCI for advanced technologies;
- Ethical aspects of user behaviour research;
- Secure information retrieval in HCI;
- Cognitive and behavioural research in HCI;
- Problems with standardization in the field of HCI.
Dr. Radka Nacheva
Dr. Maxim Bakaev
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- accessible human–computer interfaces
- artificial intelligence
- brain–computer interfaces
- business intelligence
- data mining and analytics for human–computer research
- design for all
- design thinking
- emotional human–computer interfaces
- HCI standardization issues
- information architecture
- information design
- information processing
- information retrieval
- mobile HCI
- security interactions
- social computing
- software accessibility
- software usability
- user experience design
- user-centred design
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: One Chatbot to Pull Them All?: Readability Indexes in AI-Powered Chatbots Responses
Authors: Radka Nacheva; Maxim Bakaev
Affiliation: University of Economics - Varna
Novosibirsk State Technical University
Title: Mobile Application Quality Evaluation Systems: The Special Case Of Software Accessibility
Authors: Radka Nacheva
Affiliation: University of Economics - Varna
Abstract: Software developers are faced with the challenge of creating products based on the user experience and combining aesthetics, functionality, ergonomics, the ability to quickly perform tasks, while at the same time having to comply with the limitations imposed by themselves mobile devices and the special needs of end users. Many computer systems may not include built-in accessibility features, making it difficult for users with special needs to access computer resources. That is why the study of the accessibility of software products is of great importance to ensure an accessible digital environment. Accessibility assessment software tools serve to automate the collection of software usage data, their analysis, or the resolution of potential problems in providing digital accessibility. Often such systems have a broader purpose, such as evaluating various aspects of software quality. According to the software product quality model inscribed in ISO/IEC 25010:2011(en), software quality is categorized into eight main characteristics (functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability and portability).
Accessibility is a sub-characteristic of usability, along with appropriateness recognizability, learnability, operability, user error protection and user interface aesthetics.
In this regard, the purpose of this publication is to propose a conceptual model of a prototype system for evaluating the accessibility of mobile applications. The main tasks of the research are related to:
• study of the main attributes of software quality;
• study of existing systems for testing and evaluating software quality, in particular accessibility, which can be applied in evaluating this type of applications.
Title: Machine Learning and Deep Learning Techniques for Emotion Recognition in User Speech
Author: Majkowski
Highlights: Comparative Analysis: Examines traditional and advanced machine learning methods, including CNNs and LSTM, for speech-based emotion recognition.
Human-Computer Interaction: Stresses the importance of computers understanding user emotions to boost satisfaction and adaptability in areas like mental health, education, and marketing.
Performance and Application: Evaluates emotion recognition methods using accuracy and confusion matrices, with a critical focus on practical implementation.
Title: Designing Gestures for Data Exploration with Public Displays via Identification Studies
Authors: Francesco Cafaro
Affiliation: Indiana University
Abstract: In-Lab Elicitation studies inform the design of gestures by having participants suggest actions to activate system functions. Conversely, crowd-sourced identification studies follow the opposite path, asking users to associate control actions with functions. Identification studies have been used to validate gestures produced by elicitation studies, but not to design interactive systems. In this paper, we show that identification studies can be combined with in-situ observations to design gestures for data exploration with public displays. To illustrate this method, we developed two versions of a gesture-controlled system for data exploration with 368 users: one designed through an elicitation study, and one designed through in-situ observations followed by an identification study. Our results show that users discovered the majority of the gestures with similar accuracy across the two prototypes. Additionally, the in-situ approach enabled direct recruitment of target users, and the crowd-sourced approach typical of identification studies expedited the design process.
Title: Investigations on HCI Updates for Neurodivergent Users
Authors: Ramaswamy Palaniappan
Affiliation: Reader and Head of Data Science Research Group, School of Computing, University of Kent, Chatham, ME4 4AG, Kent, UK
Abstract: Users with Autism Spectrum Disorder (ASD) may find human-computer interaction (HCI) challenging due to a number of symptoms experienced, one of which being difficulty coping with change. Through capturing, comparing and statistically analysing the reactions of autistic and neurotypical users to seven individual design changes, it has been possible to identify the changes that cause significant difficulty in autistic users. These difficulty points were then used to form heuristics that could be followed by HCI practitioners in the industry to reduce the negative impacts of software interface design change on autistic users, hence making software updates more accessible.
