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From Characterising Three Years of HRI to Methodology and Reporting Recommendations

Kennedy, J.; Baxter, Paul; Senft, Emmanuel; Belpaeme, Tony; Lemaignan, S.


Paul Baxter

Emmanuel Senft

Tony Belpaeme


© 2016 IEEE. Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them according to 14 categories. We focus primarily on aspects of methodology. From this, a series of practical recommendations based on rigorous guidelines from other research fields that have not yet become common practice in HRI are proposed. Furthermore, we explore the primary implications of the observed recent trends for the field more generally, in terms of both methodology and research directions.We propose that the interdisciplinary nature of HRI must be maintained, but that a common methodological approach provides a much needed frame of reference to facilitate rigorous future progress.

Publication Date 2016
Journal 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Print ISSN 2167-2148
Electronic ISSN 2167-2148
Peer Reviewed Peer Reviewed
Volume 2016-April
Pages 391-398
Book Title Proceedings of the 2016 ACM/IEEE Human-Robot Interaction Conference (alt.HRI)
ISBN 978-1-4673-8370-7
APA6 Citation Belpaeme, T., E., S., Kennedy, J., Baxter, P., Lemaignan, S., Baxter, P., …Belpaeme, T. (2016). From Characterising Three Years of HRI to Methodology and Reporting Recommendations. In Proceedings of the 2016 ACM/IEEE Human-Robot Interaction Conference (alt.HRI), (391-398).
Keywords challenges, human-robot interaction, methodology, recommendations, research methods
Publisher URL
Additional Information Additional Information : (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Title of Conference or Conference Proceedings : Human-Robot Interaction


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