Getting to Know Your Robot Customers: Automated Analysis of User Identity and Demographics for Robots in the Wild

Herrero, Roberto Pinillos and Pulido Fentanes, Jaime and Hanheide, Marc (2018) Getting to Know Your Robot Customers: Automated Analysis of User Identity and Demographics for Robots in the Wild. IEEE Robotics and Automation Letters, 3 (4). pp. 3733-3740. ISSN 2377-3774

Full content URL: http://doi.org/10.1109/LRA.2018.2856264

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Getting to Know Your Robot Customers: Automated Analysis of User Identity and Demographics for Robots in the Wild

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Abstract

Long-term studies with autonomous robots “in the wild” (deployed in real-world human-inhabited environments) are among the most laborious and resource-intensive endeavours in human-robot interaction. Even if a robot system itself is robust and well-working, the analysis of the vast amounts of user data one aims to collect and analyze poses a significant challenge. This letter proposes an automated processing pipeline, using state-of-the-art computer vision technology to estimate demographic factors from users’ faces and reidentify them to establish usage patterns. It overcomes the problem of explicitly recruiting participants and having them fill questionnaires about their demographic background and allows one to study completely unsolicited and nonprimed interactions over long periods of time. This letter offers a comprehensive assessment of the performance of the automated analysis with data from 68 days of continuous deployment of a robot in a care home and also presents a set of findings obtained through the analysis, underpinning the viability of the approach.
Index

Additional Information:The final published version of this article can be accessed online at https://ieeexplore.ieee.org/document/8411093/
Keywords:robotics, mobile robotics, computer vision
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:33158
Deposited On:29 Oct 2018 09:07

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