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Soma Design and Sensory Misalignment

Tennent, Paul; Marshall, Joe; Tsaknaki, Vasiliki; Windlin, Charles; H��k, Kristina; Alfaras, Miquel

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Authors

Vasiliki Tsaknaki

Charles Windlin

Kristina H��k

Miquel Alfaras



Abstract

We report on a workshop bringing together researchers working in soma design and sensory misalignment. Creating experiences that make use of sensory misalignment has become increasingly common, often associated with virtual reality research. However, little attention has been paid to how to design such experiences. We argue that the practice of soma design is a relevant candidate method for designing misalignment experiences, since soma design brings with it concepts such as estrangement and disrupting the habitual as a path to design. We further argue that sensory misalignment may in turn extend soma design methods, adding methods for explicitly disrupting sensory perception using technology interventions. Finally, we draw on the findings of that workshop to discuss the ideas of: pluralism in experience; orchestration of overall experience; as well as the broader intersection of soma design and sensory misalignment approaches.

Citation

Tennent, P., Marshall, J., Tsaknaki, V., Windlin, C., Höök, K., & Alfaras, M. (2020). Soma Design and Sensory Misalignment. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (1-12). https://doi.org/10.1145/3313831.3376812

Conference Name 2020 CHI Conference on Human Factors in Computing Systems (CHI’20)
Conference Location Honolulu HI USA
Start Date Apr 25, 2020
End Date Apr 30, 2020
Acceptance Date Jan 16, 2020
Online Publication Date Apr 25, 2020
Publication Date Apr 25, 2020
Deposit Date Feb 8, 2021
Publicly Available Date Feb 11, 2021
Publisher Association for Computing Machinery (ACM)
Volume 2020-Apr
Pages 1-12
Book Title CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
ISBN 9781450367080
DOI https://doi.org/10.1145/3313831.3376812
Public URL https://nottingham-repository.worktribe.com/output/5311074
Publisher URL https://dl.acm.org/doi/10.1145/3313831.3376812
Additional Information Honorable Mention (Top 5%) of papers in the conference.

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