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Published on May 4, 2016
OmniVib: Towards Cross-body Spatiotemporal Vibrotactile Notifications for Mobile Phones Jessalyn Alvina, Shengdong Zhao, Simon T. Perrault, Maryam Azh, Thijs Roumen, Morten Fjeld
CHI '15: ACM Conference on Human Factors in Computing Systems Session: Tactile Notifications for Phones & Wearables
Abstract Previous works illustrate that one's palm can reliably recognize 10 or more spatiotemporal vibrotactile patterns. However, recognition of the same patterns on other body parts is unknown. In this paper, we investigate how users perceive spatiotemporal vibrotactile patterns on the arm, palm, thigh, and waist. Results of the first two experiments indicate that precise recognition of either position or orientation is difficult across multiple body parts. Nonetheless, users were able to distinguish whether two vibration pulses were from the same location when played in quick succession. Based on this finding, we designed eight spatiotemporal vibrotactile patterns and evaluated them in two additional experiments. The results demonstrate that these patterns can be reliably recognized (greater than80%) across the four tested body parts, both in the lab and in a more realistic context.