Paper Info
Title
Discovering Patterns of Touch: A Case Study for Visualization-Driven Analysis in Human-Robot Interaction.
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.
Year
Venue
Keywords
2016
HRI
Human-robot interaction (HRI),Data visualization,Data analysis,Parallel Sets,Patterns of touch,OPAL Robot
Field
DocType
ISSN
Social robot,Data visualization,Software deployment,Simulation,Computer science,Visualization,Robot kinematics,Human–computer interaction,Engineering design process,Human–robot interaction,Statistical analysis
Conference
2167-2121
ISBN
Citations 
PageRank 
978-1-4673-8370-7
4
0.77
References 
Authors
3
5
Name
Order
Citations
PageRank
Kristopher Rogers191.46
Janet Wiles210520.69
Scott Heath3417.96
Kristyn Hensby4132.43
Jonathon Taufatofua5184.02