Making Bare Hand Input Accurate
12th June 2014, 3:00pm - 4:00pm
Ada Lovelace/PCRI, Salle 465 (how to get there?)
Human hands are rich in expressiveness from their postures and motions. Sensors such as touchscreens or hand trackers are able to register these movements for computer input without encumbering users' hands. Nevertheless, these sensors also capture extraneous information such as hand tremor or movements reaching for non-interactive objects on the physical desktop space. In this talk, I will present my on-going work to improve the accuracy of registering hand input in two areas. The first domain is a touchscreen input for users with hand tremor. I will present the design and evaluation of Swabbing, a sliding-based touchscreen input technique that improves accuracy for target selection on touchscreens. The second domain is near-surface finger input that extends the typical desktop computer workspace with an interactive midair layer. Users interact with desktop devices such as mouse, keyboards, or touchscreens in combination with midair input. I will present an investigation on appropriate layer thicknesses, layer placement, and activation/deactivation detection that minimizes errors from drifting outside the interactive layer.
Chat is a fifth year Ph.D. candidate at RWTH Aachen, Germany. His research leverages rich movement data provided by sensors such as touchscreens and motion capture to improve accuracy and expressiveness of bare hand input. He especially focuses on touchscreen user interface for hand tremor and near-surface input techniques. He is also interested in making scientific and statistical thinking more accessible.