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Digital Health Applications of Ubiquitous HCI Research
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Digital Health Applications of Ubiquitous HCI Research

A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).

Deadline for manuscript submissions: closed (7 February 2019)

Special Issue Editors

Dr. Andreas Komninos

E-Mail Website
Guest Editor
Computer Engineering and Informatics Department, University of Patras, 26504 Rio, Greece
Interests: mobile HCI; context awareness; ubiquitous computing systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Vassilis Charissis

E-Mail Website
Guest Editor
School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Interests: human-computer interaction; virtual/augmented reality; artificial intelligence; simulation systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, an explosion of health-related ubiquitous computing technologies has enabled the quantification of human behaviour, physiological conditions, condition management and lifestyle choices at an unprecedented scale. Consumer-grade electronics such as wearable fitness and bio-signal trackers, connected exercise and health indicator measurement equipment, provide inexpensive and aesthetically and socially acceptable ways of monitoring one’s health, generating vast quantities of data for the benefit of individuals and clinicians. At the same time, to allow the exploration and exploitation of these masses of data, software and services such as mobile and smartwatch apps, cater for the users’ curiosity and the practicalities of managing one’s health. Additionally, emerging technologies such as VR/AR are gradually employed to offer immersive interaction for health-related training and remote consultation applications that present succinctly complex and rich information.

In this emerging landscape, which is currently fragmented across a variety of competing technologies, standards and interaction / information visualization paradigms, the average user can often get lost in the terminology, the sheer volume of data (compared to actionable knowledge), and technological barriers they may face when interacting with mobile health systems. Such barriers can have disproportionately significant negative impacts for those people most at need of these technologies. At the same time, for large parts of the population without easy access to medical services, mobile healthcare applications can provide a critical lifeline, but one that comes without the human touch, expertise, clinical judgement or even assurance of accountability and transparency that healthcare professionals can offer, and which is typically absent in ML-based systems.

The purpose of this special issue is to bring to the fore new paradigms for interaction with smart mobile healthcare technology. We invite contributions in an effort to consolidate existing research in best interaction practice, as well as to provoke and set new boundaries for future research in this theme, along the following, non-limiting list of topics:

  • Information visualization and presentation in mobile and wearable health applications, with emphasis on the intelligibility and contextually relevant actionability of prompts
  • Attention, interruption, incentivization and reminders in mobile healthcare systems
  • Multimodal interaction with ubiquitous healthcare systems, including whole-body, physical gesture, tactile, tangible, audio and speech interfaces
  • Interacting with Augmented and Virtual Reality (AR/VR) applications in healthcare settings
  • Human-robot and human-AI interaction for healthcare and wellbeing
  • Managing trust and credibility of the information shared between users, systems and clinicians
  • Methods and tools for requirement elicitation, UX and system co-design or multidisciplinary collaboration in the development of mobile healthcare applications
  • Methodologies, protocols, tools and best practices in organising and conducting laboratory and field studies of mobile health applications
  • Usability studies of mobile health systems with special population target groups

Dr. Andreas Komninos
Prof. Vassilis Charissis
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. Multimodal Technologies and Interaction 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

  • Ubiquitous Interaction
  • Healthcare and Wellbeing
  • Virtual /Augmented Reality Medical Applications
  • Mobile VR Healthcare Applications
  • Interaction with Intelligent Agents
  • Knowledge Visualization

Published Papers (2 papers)

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Research

22 pages, 3632 KiB  
Article
Exploring the Development Requirements for Virtual Reality Gait Analysis
by Mohammed Soheeb Khan, Vassilis Charissis and Sophia Sakellariou
Multimodal Technol. Interact. 2019, 3(2), 24; https://doi.org/10.3390/mti3020024 - 10 Apr 2019
Cited by 3 | Viewed by 5147
Abstract
The hip joint is highly prone to traumatic and degenerative pathologies resulting in irregular locomotion. Monitoring and treatment depend on high-end technology facilities requiring physician and patient co-location, thus limiting access to specialist monitoring and treatment for populations living in rural and remote [...] Read more.
The hip joint is highly prone to traumatic and degenerative pathologies resulting in irregular locomotion. Monitoring and treatment depend on high-end technology facilities requiring physician and patient co-location, thus limiting access to specialist monitoring and treatment for populations living in rural and remote locations. Telemedicine offers an alternative means of monitoring, negating the need for patient physical presence. In addition, emerging technologies, such as virtual reality (VR) and immersive technologies, offer potential future solutions through virtual presence, where the patient and health professional can meet in a virtual environment (a virtual clinic). To this end, a prototype asynchronous telemedicine VR gait analysis system was designed, aiming to transfer a full clinical facility within the patients’ local proximity. The proposed system employs cost-effective alternative motion capture combined with the system’s immersive 3D virtual gait analysis clinic. The user interface and the tools in the application offer health professionals asynchronous, objective, and subjective analyses. This paper investigates the requirements for the design of such a system and discusses preliminary comparative data of its performance evaluation against a high-fidelity gait analysis clinical application. Full article
(This article belongs to the Special Issue Digital Health Applications of Ubiquitous HCI Research)
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19 pages, 4893 KiB  
Article
Let’s Play a Game! Kin-LDD: A Tool for Assisting in the Diagnosis of Children with Learning Difficulties
by Eleni Chatzidaki, Michalis Xenos and Charikleia Machaira
Multimodal Technol. Interact. 2019, 3(1), 16; https://doi.org/10.3390/mti3010016 - 11 Mar 2019
Cited by 1 | Viewed by 4238
Abstract
This paper presents an alternative approach for the diagnosis of learning difficulties in children. A game-based evaluation study, using Kinaesthetic Learning Difficulties Diagnosis (Kin-LDD), was performed during the actual diagnosis procedure for the identification of learning difficulties. Kin-LDD is a serious game that [...] Read more.
This paper presents an alternative approach for the diagnosis of learning difficulties in children. A game-based evaluation study, using Kinaesthetic Learning Difficulties Diagnosis (Kin-LDD), was performed during the actual diagnosis procedure for the identification of learning difficulties. Kin-LDD is a serious game that provides a gesture-based interface and incorporates spatial and time orientation activities. These activities assess children’s cognitive attributes while they are using their motor skills to interact with the game. The aim of this work was to introduce the fun parameter to the diagnostic process, provide a useful tool for the special educators and investigate potential correlations between in-game metrics and the diagnosis outcome. An experiment was conducted in which 30 children played the game during their official assessment for the diagnosis of learning difficulties at the Center for Differential Diagnosis, Diagnosis and Support. Performance metrics were collected automatically while the children were playing the game. These metrics, along with questionnaires appropriate for children and post-session interviews were later analyzed and the findings are presented in the paper. According to the results: (a) children evaluated the game as a fun experience, (b) special educators claimed it was helpful to the diagnostic procedure, and (c) there were statistically significant correlations between in-game metrics and the category of learning difficulty the child was characterized with. Full article
(This article belongs to the Special Issue Digital Health Applications of Ubiquitous HCI Research)
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