Published: June 22, 2022

An arm with illustrations added of different emotions, symbolizing the emotional effect of touch. THING Lab

“EmotiTactor: Exploring How Designers Approach Emotional Robotic Touch,” authored by Ran Zhou, Harpreet Sareen, Yufei Zhang and Assistant Professor Daniel Leithinger, director of the THING Lab, won a Best Pictorial Honorable Mention award at theACM SIGCHI Conference on Designing Interactive Systems (DIS '22). Zhou, an ATLAS PhD student who was alsothefor DIS'22, presented the research during the Multisensory Design session.

Prior psychology findings show humans can communicate distinct emotions solely through touch, and in this work, THING Labresearchers hypothesize that similar effects might also be applicable to robotic touch.Theirfindings uncover that the "otherness" of robotic touch broadens the design possibilities of emotional communication beyond mimicking interpersonal touch.Bringingdesigners into the exploration of emotional robotic touch, the researchers discuss their design decisions and reflect on their insights. To enable designers to easily generate and modify various types of affective touch for conveying emotions (e.g., anger, happiness, etc.), the researchers alsodeveloped a platform consisting of a robotic tactor interface and a software design tool. When conducting an elicitation study with 11interaction designers, they discovered common patterns in their generated tactile sensations for each emotion.The researchersalso illustrated the strategies, metaphors, and reactions that the designers deployed in the design process.

Publication

Ran Zhou, Harpreet Sareen, Yufei Zhang, and Daniel Leithinger. 2022. EmotiTactor: Exploring How Designers Approach Emotional Robotic Touch. In Designing Interactive Systems Conference (DIS '22). Association for Computing Machinery, New York, NY, USA, 1330–1344. .pdf (June 13-17, 2022—Virtual Event, Australia) [Best Pictorial Honorable Mention].