Discovering Patterns of Touch A Case Study for Visualization-Driven Analysis in Human-Robot Interaction

Author(s)
Rogers, Kris
Wiles, Janet
Heath, Scott
Hensby, Kristyn
Taufatofua, Jonathon
Griffith University Author(s)
Year published
2016
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Abstract
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.
Conference Title
2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
DOI
Subject
Psychology
Artificial intelligence
Sociology and social studies of science and technology
Computer Science, Cybernetics
Data analysis
Data visualization
Human-robot interaction (HRI)
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