Grasping Microgestures

Project Details
Project Name :

Grasping Microgestures

Project Category :

02Body Interaction, Adwait

Client Review :

(CHI 2019)

Description :

Grasping Microgestures

Eliciting Single-hand Microgestures for Handheld Objects


Our work informs gestural interaction with computer systems while hands are busy holding everyday objects. We present results from the first empirical analysis of over 2,400 microgestures performed by end-users. We call those gestures as Grasping Microgestures. Our key finding is to answer how grasps and object geometries affect the design space of microgestures performed on handheld objects in the light of the interactional constraints caused by holding a physical object in one’s hand. We characterize users’ preferred types of action when hands are busy and show that these actions mainly depend on the referent, rather than on the grasp or object. In contrast, the choice of fingers and action location is strongly influenced by the grasp and the size of the handheld object. We add to the existing elicitation method by proposing statistical clustering of users’ elicited gestures. This approach facilitates finding previously undiscovered patterns through a full data-driven interpretation.








Publication

Adwait Sharma, Joan Sol Roo, Jürgen Steimle
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019: 2019
[Pdf] [Publisher]