Human Movement Analysis for the Design and Evaluation of Interactive Systems and Assistive Devices
Visit a dedicated webpage for more information on this STS: https://hcihumanmovement.wordpress.com/sts/
The evaluation of prototypes and systems often takes completion time and accuracy as success criteria. This usually involves how the user uses their pointing device or text entry system, and therefore the movements they make to be able to use them. Human Movement analysis can make an important contribution to the design and evaluation of user interfaces for digital applications.
Some experiments study the users’ movements by tracking and analyzing body postures and movements performed by the participants [1–3]. In the context of motor or visual impairments, movement analysis takes on even more meaning. People with disabilities often have to adopt different movement strategies depending on their motor ability or their perception of the environment. Assessing and analyzing users’ movements opens several perspectives to design adapted devices and interfaces, as well as to evaluate the comfort of use and ergonomics of interactive technologies.
Challenges and call for contribution
This Special Thematic Session (STS) will discuss recent experience and contributions on Human Movement analysis for the design and evaluation of adapted user interfaces. The challenges in acquisition and analysis of data related to the Human Movement are many across different applications , and can be referred in terms of
- design evaluation (i.e. ergonomics, feedback),
- machine processing (i.e. sensors, gesture recognition)
- and human factors (i.e. motor skills, morphologies, fatigue, comfort of use).
This Special Thematic Session will consider all aspects of research on movement analysis, which may include for example:
- Activity recognition and event detection in Ambient and Assisted Living,
- Tracking users’ movements with Internet of Things and Sensors Technology, including wearables
- Adaptation of interfaces for individuals with special needs, modelling users, Assessment, Profiling and Personalization
- Ergonomic evaluation of Assistive Technologies
- Assessment and interpretation of Human Movement for diagnosis, rehabilitation and monitoring, applications for E-Health – Medicine and Care
- Aspects of Universal Design for motion-based interaction, full-body interaction, etc.
 L.G. Motti Ader, N. Vigouroux, P. Gorce, Movement Analysis for Improving Older A dults ’ Performances in HCI : preliminary analysis of movements of the users ’ wrists during tactile interaction, in: HCI Int. UTAP 2017, 2017. https://doi.org/10.1007/978-3-319-58536-9_2
 J.G. Young, M. Trudeau, D. Odell, K. Marinelli, J.T. Dennerlein, Touch-screen tablet user configurations and case-supported tilt affect head and neck flexion angles, Work. 41 (2012) 81–91. https://doi.org/10.3233/WOR-2012-1337.
 C.B. Irwin, T.Y. Yen, R.H. Meyer, G.C. Vanderheiden, D.P. Kelso, M.E. Sesto, Use of force plate instrumentation to assess kinetic variables during touch screen use, Univers. Access Inf. Soc. 10 (2011) 453–460. https://doi.org/10.1007/s10209-011-0218-z.
 L.G. Motti Ader, B. Caul, M. Raynal, K. Lan Hing Ting, J. Vanderdonckt, N. Vigouroux, HCI Challenges in Human Movement Analysis, 11749 (2019) 725–730. https://doi.org/10.1007/978-3-030-29390-1.
Lilian G. Motti Ader, University College Dublin, CeADAR – Centre for Applied Data Analytics and School of Public Health, Physiotherapy and Sport Sciences
Mathieu Raynal, Université de Toulouse, IRIT Lab, ELIPSE team
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