Let me decide: The importance of user autonomy in accepting online recommendations.

Leorre Newman; Uriel Haran; Lior Fink

Let me decide: The importance of user autonomy in accepting online recommendations.

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

Abstract

The ubiquity of artificial intelligence (AI) algorithms has increased interest in the willingness of online users to accept the recommendations generated by recommendation system (RSs). The present study advances the discourse on how to facilitate the adoption and acceptance of such algorithms and systems by emphasizing the importance of user autonomy. As a first step, the hypothesis that user autonomy increases recommendation acceptance was tested in a controlled online experiment, in which we varied the number of recommendations presented to the user. A total of 240 participants used an online website, specifically developed for this study, to describe their vacation preferences and then chose their preferred vacation. Results show that users are more likely to accept recommendations when more recommendations are presented, highlighting the importance of user autonomy to the acceptance of RS and AI, while informing vendors about ways to tweak their algorithms to increase user compliance

Original language	English
Title of host publication	ECIS 2022
State	Published - Jun 2022
Event	30th European Conference on Information Systems: New Horizons in Digitally United Societies - Timisoara, Romania Duration: 18 Jun 2022 → 24 Jun 2022

Conference

Conference	30th European Conference on Information Systems
Abbreviated title	ECIS 2022
Country/Territory	Romania
City	Timisoara
Period	18/06/22 → 24/06/22

Keywords

Recommendation
Autonomy
Decision making
Online experiment

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@inproceedings{2c4b46e2017a46b6a54bd44d337e12a1,

title = "Let me decide: The importance of user autonomy in accepting online recommendations.",

abstract = "The ubiquity of artificial intelligence (AI) algorithms has increased interest in the willingness of online users to accept the recommendations generated by recommendation system (RSs). The present study advances the discourse on how to facilitate the adoption and acceptance of such algorithms and systems by emphasizing the importance of user autonomy. As a first step, the hypothesis that user autonomy increases recommendation acceptance was tested in a controlled online experiment, in which we varied the number of recommendations presented to the user. A total of 240 participants used an online website, specifically developed for this study, to describe their vacation preferences and then chose their preferred vacation. Results show that users are more likely to accept recommendations when more recommendations are presented, highlighting the importance of user autonomy to the acceptance of RS and AI, while informing vendors about ways to tweak their algorithms to increase user compliance",

keywords = "Recommendation, Autonomy, Decision making, Online experiment",

author = "Leorre Newman and Uriel Haran and Lior Fink",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 30th European Conference on Information Systems : New Horizons in Digitally United Societies, ECIS 2022 ; Conference date: 18-06-2022 Through 24-06-2022",

year = "2022",

month = jun,

language = "English",

booktitle = "ECIS 2022",

}

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T1 - Let me decide

T2 - 30th European Conference on Information Systems

AU - Newman, Leorre

AU - Haran, Uriel

AU - Fink, Lior

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2022/6

Y1 - 2022/6

N2 - The ubiquity of artificial intelligence (AI) algorithms has increased interest in the willingness of online users to accept the recommendations generated by recommendation system (RSs). The present study advances the discourse on how to facilitate the adoption and acceptance of such algorithms and systems by emphasizing the importance of user autonomy. As a first step, the hypothesis that user autonomy increases recommendation acceptance was tested in a controlled online experiment, in which we varied the number of recommendations presented to the user. A total of 240 participants used an online website, specifically developed for this study, to describe their vacation preferences and then chose their preferred vacation. Results show that users are more likely to accept recommendations when more recommendations are presented, highlighting the importance of user autonomy to the acceptance of RS and AI, while informing vendors about ways to tweak their algorithms to increase user compliance

AB - The ubiquity of artificial intelligence (AI) algorithms has increased interest in the willingness of online users to accept the recommendations generated by recommendation system (RSs). The present study advances the discourse on how to facilitate the adoption and acceptance of such algorithms and systems by emphasizing the importance of user autonomy. As a first step, the hypothesis that user autonomy increases recommendation acceptance was tested in a controlled online experiment, in which we varied the number of recommendations presented to the user. A total of 240 participants used an online website, specifically developed for this study, to describe their vacation preferences and then chose their preferred vacation. Results show that users are more likely to accept recommendations when more recommendations are presented, highlighting the importance of user autonomy to the acceptance of RS and AI, while informing vendors about ways to tweak their algorithms to increase user compliance

KW - Recommendation

KW - Autonomy

KW - Decision making

KW - Online experiment

M3 - Conference contribution

BT - ECIS 2022

Y2 - 18 June 2022 through 24 June 2022

ER -

Let me decide: The importance of user autonomy in accepting online recommendations.

Abstract

Conference

Keywords

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