Multifractal Mice: Inferring Task Engagement and Dimensions of Readiness-to-hand from Hand Movement

要旨

The philosophical construct readiness-to-hand describes focused, intuitive, tool use, and has been linked to tool-embodiment and immersion. The construct has been influential in HCI and design for decades, but researchers currently lack appropriate measures and tools to investigate it empirically. To support such empirical work we investigate the possibility of operationalising readiness-to-hand in measurements of multfractality in movement, building on recent work in cognitive science. We conduct two experiments (N=44, N=30) investigating multifractality in mouse movements during a computer game, replicating prior results and contributing new findings. Our results show that multifractality correlates with dimensions associated with readiness-to-hand, including skill and task-engagement, during tool breakdown, task learning and normal play. We describe future possibilities for the application of these methods in HCI, supporting such work by sharing scripts and data, and introducing a new data-driven approach to parameter selection.

著者
Dan Bennett
University of Bristol, Bristol, Bristol, United Kingdom
Anne Roudaut
University of Bristol, Bristol, United Kingdom
Oussama Metatla
University of Bristol, Bristol, United Kingdom
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517601

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: User Modeling

288-289
5 件の発表
2022-05-04 01:15:00
2022-05-04 02:30:00