abstract

Working with a Recommendation Agent: How Recommendation Presentation Influences Users' Perceptions and Behaviors

Authors:

Marc-Antoine Jutras,

Sylvain Sénécal,

Pierre-Majorique Léger,

Chrystel Black,

Nicolas Robitaille,

Christian HudonAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW098, Pages 1 - 6

https://doi.org/10.1145/3170427.3188639

Published: 20 April 2018 Publication History

Abstract

Artificial intelligence (AI) based recommendation agents (RA) can help managers make better decisions by processing a large quantity of decision relevant information. Research on user-RA interactions show that users benefit from RA, but that there are some challenges to their adoption. For instance, RA adoption can only happen if users trust the RA. Thus, this study investigates how the richness of the information provided by an RA and the effort necessary to reach this information influence users' perceptions and usage. A within-subject lab experiment was conducted with 20 participants. Results suggest that perceptions toward the RA (trust, credibility, and satisfaction) are influenced by the RA information richness, but not by the effort needed to reach this information. In addition to contributing to HCI literature, the findings have implications for the design of better AI-based RA systems.

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Cited By

Hinrichs MBui TSchneegass S(2024)Exploring the Effects of User Input and Decision Criteria Control on Trust in a Decision Support Tool for Spare Parts Inventory ManagementProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701585(313-323)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701585
Ma BLu MTaniguchi YKonomi S(2021)CourseQ: the impact of visual and interactive course recommendation in university environmentsResearch and Practice in Technology Enhanced Learning10.1186/s41039-021-00167-716:1Online publication date: 30-Jun-2021
https://doi.org/10.1186/s41039-021-00167-7
Wang QSaha KGregori EJoyner DGoel AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching AssistantProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445645(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445645

Index Terms

Working with a Recommendation Agent: How Recommendation Presentation Influences Users' Perceptions and Behaviors
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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cover image ACM Conferences

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

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NSERC

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CHI '18

Sponsor:

SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

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CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Citations

Cited By

Hinrichs MBui TSchneegass S(2024)Exploring the Effects of User Input and Decision Criteria Control on Trust in a Decision Support Tool for Spare Parts Inventory ManagementProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701585(313-323)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701585
Ma BLu MTaniguchi YKonomi S(2021)CourseQ: the impact of visual and interactive course recommendation in university environmentsResearch and Practice in Technology Enhanced Learning10.1186/s41039-021-00167-716:1Online publication date: 30-Jun-2021
https://doi.org/10.1186/s41039-021-00167-7
Wang QSaha KGregori EJoyner DGoel AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching AssistantProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445645(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445645

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