TactorBots: A Haptic Design Toolkit for Out-of-lab Exploration of Emotional Robotic Touch

要旨

Emerging research has demonstrated the viability of emotional communication through haptic technology inspired by interpersonal touch. However, the meaning-making of artificial touch remains ambiguous and contextual. We see this ambiguity caused by robotic touch’s "otherness" as an opportunity for exploring alternatives. To empower emotional haptic design in longitudinal out-of-lab exploration, we devise TactorBots, a design toolkit consisting of eight wearable hardware modules for rendering robotic touch gestures controlled by a web-based software application. We deployed TactorBots to thirteen designers and researchers to validate its functionality, characterize its design experience, and analyze what, how, and why alternative perceptions, practices, contexts, and metaphors would emerge in the experiment. We provide suggestions for designing future toolkits and field studies based on our experiences. Reflecting on the findings, we derive design implications for further enhancing the ambiguity and shifting the mindsets to expand the design space.

著者
Ran Zhou
University of Colorado, Boulder, Boulder, Colorado, United States
Zachary Schwemler
University of Colorado, Boulder, Boulder, Colorado, United States
Akshay Baweja
Parsons School of Design, New York City, New York, United States
Harpreet Sareen
Parsons School of Design, New York City, New York, United States
Casey Lee. Hunt
University of Colorado, Boulder, Boulder, Colorado, United States
Daniel Leithinger
University of Colorado, Boulder, Boulder, Colorado, United States
論文URL

https://doi.org/10.1145/3544548.3580799

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Human-Robot Interaction

Hall G1
6 件の発表
2023-04-25 18:00:00
2023-04-25 19:30:00