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Discovering patterns of touch: a case study for visualization-driven analysis in human-robot interaction

By Kris Rogers, Janet Wiles, Scott Heath, Kristyn Hensby and Jonathon Taufatofua


An important challenge in Human-Robot Interaction (HRI) is the analysis and interpretation of large volumes of data to inform the design process within a complex, multi-faceted research space. In this study, we explore how data visualization techniques can contribute to HRI methodology, particularly in terms of linking qualitative and quantitative analysis methods. Specifically, we present a case study demonstrating the visualization of touch data to identify potential patterns of interaction with a social robot intended for deployment in preschool classrooms

Topics: Human-robot interaction (HRI), Data visualization, Data analysis, Parallel Sets, Patterns of touch, OPAL Robot, 1702 Artificial Intelligence, 1709 Human-Computer Interaction, 2208 Electrical and Electronic Engineering
Publisher: IEEE
Year: 2016
DOI identifier: 10.1109/HRI.2016.7451825
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