Using customers' online reviews to identify and classify human robot interaction failures in domestic robots

Shanee Honig; Alon Bartal; Tal Oron-Gilad

doi:10.1145/3371382.3378323

Using customers' online reviews to identify and classify human robot interaction failures in domestic robots

Shanee Honig, Alon Bartal, Tal Oron-Gilad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Little information is available regarding which types of failures robots experience in domestic settings. To further the community's knowledge, we manually classified 3062 customer reviews of robotic vacuum cleaners on Amazon.com. The resulting database was analyzed and used to create a Natural Language Processing (NLP) model capable of predicting whether a review contains a description of a failure or not. The current work describes the initial analysis and model development process as well as preliminary findings.

Original language	English
Title of host publication	HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE Computer Society
Pages	251-253
Number of pages	3
ISBN (Electronic)	9781450370578
DOIs	https://doi.org/10.1145/3371382.3378323
State	Published - 23 Mar 2020
Externally published	Yes
Event	15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020

Publication series

Name	ACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)	2167-2148

Conference

Conference	15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
Country/Territory	United Kingdom
City	Cambridge
Period	23/03/20 → 26/03/20

Bibliographical note

Funding Information:
The first author is supported by The Helmsley Charitable Trust through the Agricultural, Biological, Cognitive Robotics Initiative and the Marcus Endowment Fund, and by Ben-Gurion University through the High-tech, Bio-tech and Chemo-tech Scholarship.

Publisher Copyright:
© 2020 ACM.

Keywords

Human-robot interaction
Social network analysis
User satisfaction
User-centered

Access to Document

10.1145/3371382.3378323

Cite this

Honig, S., Bartal, A., & Oron-Gilad, T. (2020). Using customers' online reviews to identify and classify human robot interaction failures in domestic robots. In HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 251-253). (ACM/IEEE International Conference on Human-Robot Interaction). IEEE Computer Society. https://doi.org/10.1145/3371382.3378323

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abstract = "Little information is available regarding which types of failures robots experience in domestic settings. To further the community's knowledge, we manually classified 3062 customer reviews of robotic vacuum cleaners on Amazon.com. The resulting database was analyzed and used to create a Natural Language Processing (NLP) model capable of predicting whether a review contains a description of a failure or not. The current work describes the initial analysis and model development process as well as preliminary findings.",

keywords = "Human-robot interaction, Social network analysis, User satisfaction, User-centered",

author = "Shanee Honig and Alon Bartal and Tal Oron-Gilad",

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Honig, S, Bartal, A & Oron-Gilad, T 2020, Using customers' online reviews to identify and classify human robot interaction failures in domestic robots. in HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction, IEEE Computer Society, pp. 251-253, 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020, Cambridge, United Kingdom, 23/03/20. https://doi.org/10.1145/3371382.3378323

Using customers' online reviews to identify and classify human robot interaction failures in domestic robots. / Honig, Shanee; Bartal, Alon; Oron-Gilad, Tal.
HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2020. p. 251-253 (ACM/IEEE International Conference on Human-Robot Interaction).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Honig S, Bartal A, Oron-Gilad T. Using customers' online reviews to identify and classify human robot interaction failures in domestic robots. In HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society. 2020. p. 251-253. (ACM/IEEE International Conference on Human-Robot Interaction). doi: 10.1145/3371382.3378323

Using customers' online reviews to identify and classify human robot interaction failures in domestic robots

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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