Honourable mention awards for AffecTech researchers
AffecTech project is featured prominently at the prestigious CHI 2020 conference, the premier international conference of Human-Computer Interaction, with three full papers, two of which receiving Honourable Mention Awards.
This builds on a similar strong performance at CHI 2019, where AffecTech also had three full papers, two of which awarded Honourable Mention.
The AffecTech papers accepted at CHI 2020 include:
Supporting Stimulation Needs in Dementia Care through Wall-Sized Displays. Sas, C., Davies, N., Clinch, S., Shaw, P., Mikusz, M., Steeds, M. & Nohrer, L. https://doi.org/10.1145/3313831.3376361 (Honourable Mention Award)
This paper shows that through a year-long deployment and participatory research with dementia care staff, wall-sized displays are extensively and innovatively used to support residents’ personhood. Novel psychosocial interventions using YouTube content sourced by the care staff facilitate not only collective reminiscing and sensory stimulation, but more importantly mood and behaviour regulation for advanced dementia through “seen” music and nature-inspire media.
Soma Design and Sensory Misalignment. Tennent, P., Marshall, J., Tsaknaki, V., Windlin, C., Höök, K., Alfaras, M. https://dl.acm.org/doi/10.1145/3313831.3376812 (Honourable Mention Award)
This paper finds the practice of soma design a relevant candidate method for not only designing for the pleasant but also the unpleasant, in particular, designing misalignment experiences. It also explores pluralism in experience; orchestration of overall experience; as well as broader intersection of soma design and sensory misalignment approaches.
From Biodata to Somadata. Alfaras, M., Tsaknaki, V., Sanches, P., Windlin, C., Umair, M., Sas, C. & Höök, K. https://dl.acm.org/doi/10.1145/3313831.3376684
This paper reveals that making biodata attainable for a felt experience, through linking it to tangible forms, enables not only ﬁrst-person encounters, but also supports collaborative design processes – as the somadata can be shared and experienced dynamically together.
Other AffecTech research featured at CHI 2020 includes a paper in the flagship Transactions in Computer-Human Interaction journal, as well as a workshop:
Ambiguity as a resource to inform proto-practices: The case of skin conductance. Sanches, P., Höök, K., Sas, C. & Stahl, A., 1/07/2019, In: ACM Transactions on Computer-Human Interaction (TOCHI). 26, 4, 32 p., 21.
HCI at End of Life & Beyond. Wallace, J., Odom, W., Sas, C., Morrissey, K., Montague, K., Olivier, P. & Koulidou, N.
CHI 2020 was planned for April 25-30 in Hawaii. It has been cancelled this year due to the Coronavirus (Covid-19) pandemic.
AffecTech is an international collaborative network and research project that advances personal health technologies for affective disorders – depression, anxiety and bipolar. AffecTech aims to deliver effective low-cost technologies to help people living with these conditions.
AffecTech is established with support from the Marie Skłodowska-Curie Innovative Training Network (ITN) via the European Commission’s Horizon 2020 (H2020) research and innovation programme.
AffecTech is a European Innovative Training Network funded under Marie Skłodowska-Curie grant agreement No 722022.