Soma Design and Sensory Misalignment

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

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, April). Soma Design and Sensory Misalignment. Presented at 2020 CHI Conference on Human Factors in Computing Systems (CHI’20), Honolulu HI USA

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2020 CHI Conference on Human Factors in Computing Systems (CHI’20)
• 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.