Framed Guessability - Improving the Discoverability of Gestures and Body Movements for Full-Body Interaction
Association for Computing Machinery (ACM) via YouTube
Overview
Explore a conference talk that delves into improving the discoverability of gestures and body movements for full-body interaction systems. Learn about the Framed Guessability methodology, a design approach that focuses on creating easily discoverable hand gestures and body movements within a specific scenario. Discover the results of a comparative study between traditional Guessability and Framed Guessability methods, involving both in-lab participants and museum visitors. Gain insights into how this research can potentially enhance the user experience of body-sensing technologies like Nintendo Wii and Microsoft Kinect. Recorded at the ACM CHI Conference on Human Factors in Computing Systems in Montréal, Canada, this 22-minute presentation offers valuable knowledge for designers and researchers in the field of human-computer interaction.
Syllabus
Framed Guessability: Improving the Discoverability of Gestures and Body Movements for Full-Body ...
Taught by
ACM SIGCHI