Evaluating User Preferences for Augmented Reality Interactions for the Internet of Things
Date
2019-12-20
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Abstract
This thesis investigates how users want to control IoT devices in their homes with headset AR. Gestural and voice controls are both suitable methods of input for headset AR. However, there is a lack of end-user input in the design of such gestures and voice commands: especially in comparative terms. An elicitation study is performed with 16 participants to gather their preferred voice commands and gestures for a set of referents. The contribution is an analysis of 784 inputs (392 gestures and 392 voice), a resulting gesture set and command types, comparative method preferences, a novel method to analyze voice command input (called voice command pattern template), as well as design recommendations based on observations and interviews. These recommendations serve as guides for future designers and implementors of such voice commands and gestures.
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Augmented Reality, Internet of Things, Gestural Interaction, Voice Commands, User-Centered Design, Human Computer Interaction, Elicitation Study
Citation
Chopra, S. (2019). Evaluating User Preferences for Augmented Reality Interactions for the Internet of Things (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.