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Eyes-Free Graph Legibility: Using Skin-Dragging to Provide a Tactile Graph Visualization on the Arm

Recent technological advances have enabled novel tactile displays which have mainly focused on providing shorter sensations for notifications and/or simple messages. These have been primarily been used to enhance the user experience. In contrast, conveying information via data charts, such as a line graph, remains largely unexplored. To address this gap, we developed a tactile display prototype. Our prototype uses skin-dragging, a method to produce longer tactile perceptions from dragging a tip on the skin, as the primary means to convey the data. We postulate that if such an approach is successful, it could convey the data in eyes-free scenarios, an element common for on-the-go computing. In an experiment (n=12), we compare the recognition performance of graphs with two different skin-dragging properties, Full-Drag and Dot. The results show that participants performed both techniques equally well, but our Full-Drag technique was greatly preferred. We conclude with design guidelines for tactile displays that focus on graph representations.

https://doi.org/10.1145/3396339.3396344

Sandra Bardot, Sawyer Rempel, Bradley Rey, Ali Neshati, Yumiko Sakamoto, Carlo Menon and Pourang Irani. 2020. Eyes-Free Graph Legibility: Using Skin-Dragging to Provide a Tactile Graph Visualization on the Arm. In 11th Augmented Human International Conference (AH ’20), May 27–29, 2020, Winnipeg, MB, Canada. ACM, NewYork, NY, USA, 8pages. https://doi.org/10.1145/3396339.3396344

Authors

Dr.Sandra Bardot

Dr.Sandra Bardot

Postdoctoral Fellow
Sawyer Rempel

Sawyer Rempel

Undergraduate Student
Bradley Rey

Bradley Rey

MSc Student
Ali Neshati

Ali Neshati

PhD Student
Dr. Yumiko Sakamoto

Dr. Yumiko Sakamoto

Research Associate
Pourang Irani

Pourang Irani

Professor
Canada Research Chair

As well as: Carlo Menon