Collision Design

Marshall, Joe; Tennent, Paul; Li, Christine; Pacheco, Claudia Núñez; Garrett, Rachael; Tsaknaki, Vasiliki; Höök, Kristina; Caleb-Solly, Praminda; Benford, Steven David

Abstract

Collision, "the violent encounter of a moving body with another", is poorly understood in HCI. When we discuss people colliding with the physical artifacts we create, or colliding with each other while using our systems, this is primarily treated as a hazard, something which we should design to avoid. However many other human activities involve situations where deliberate exposure to risk of collision may in fact have positive aspects. In this paper we discuss how the ’risk matrix’, a widely used risk-management tool, which categorizes risks in terms of likelihood and severity, may limit interaction in unintended ways. We discuss reframings of this matrix in relation to design concepts of ’adventure’, ’disempowerment/agency’ and ’consent’. and show that a range of design spaces for collisions exist which may be fruitful to explore.

Citation

Marshall, J., Tennent, P., Li, C., Pacheco, C. N., Garrett, R., Tsaknaki, V., Höök, K., Caleb-Solly, P., & Benford, S. D. (2023, April). Collision Design. Presented at Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Hamburg, Germany

• Presentation Conference Type: Edited Proceedings
• Conference Name: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
• Start Date: Apr 23, 2023
• End Date: Apr 28, 2023
• Acceptance Date: Apr 19, 2023
• Publication Date: Apr 19, 2023
• Deposit Date: Mar 14, 2025
• Publicly Available Date: Mar 17, 2025
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Article Number: 411
• Book Title: CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
• DOI: https://doi.org/10.1145/3544549.3582734
• Keywords: collision, human-robot interaction, risk
• Public URL: https://nottingham-repository.worktribe.com/output/19789111
• Publisher URL: https://dl.acm.org/doi/10.1145/3544549.3582734
• Additional Information: Published: 2023-04-19