SplitBody: Reducing Mental Workload while Multitasking via Muscle Stimulation

要旨

Techniques like electrical muscle stimulation (EMS) offer promise in assisting physical tasks by automating movements, e.g., shaking a spray-can or tapping a button. However, existing actuation systems improve the performance of a task that users are already focusing on (e.g., users are already focused on using the spray-can). Instead, we investigate whether these interactive-actuation systems (e.g., EMS) offer any benefits if they automate a task that happens in the background of the user's focus. Thus, we explored whether automating a repetitive movement via EMS would reduce mental workload while users perform parallel tasks (e.g., focusing on writing an essay while EMS stirs a pot of soup). In our study, participants performed a cognitively-demanding multitask aided by EMS (SplitBody condition) or performed by themselves (baseline). We found that with SplitBody performance increased (35% on both tasks, 18% on the non-EMS-automated task), physical-demand decreased (31%), and mental-workload decreased (26%).

受賞
Best Paper
著者
Romain Nith
University of Chicago, Chicago, Illinois, United States
Yun Ho
University of Chicago, Chicago, Illinois, United States
Pedro Lopes
University of Chicago, Chicago, Illinois, United States
論文URL

https://doi.org/10.1145/3613904.3642629

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Attention: multitasking and Interruptions

313B
5 件の発表
2024-05-14 18:00:00
2024-05-14 19:20:00