Can semi-Anthropomorphism influence trust and compliance? Exploring image use in app interfaces

Dara Gruber; Ashley Aune; Wilma Koutstaal

doi:10.1145/3183654.3183700

Can semi-Anthropomorphism influence trust and compliance? Exploring image use in app interfaces

Dara Gruber, Ashley Aune, Wilma Koutstaal

Psychology (Twin Cities)

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

1 Scopus citations

Abstract

Relying on automated suggestions from technology to make decisions has become a part of our everyday life. Most existing research examines trust in automation for high-risk domains as well as vast recommender systems for low-risk consumer use. This research aims to evaluate human trust in automated decision AIDS for low-risk everyday use, where one automated suggestion is presented and a few alternative options are available. In the current study, we investigate whether anthropomorphic imagery and information reliability can influence perceived trust of the automated decision aid. We report on results from 105 participants, which suggest that levels of semi-Anthropomorphic imagery do not influence trust in the way that a full anthropomorphic image of a human might. Our work contributes to a deeper understanding of how to utilize design, specifically visual imagery, to appropriately calibrate trust in automated decision AIDS for everyday use.

Original language	English (US)
Title of host publication	Proceedings of the Technology, Mind, and Society Conference, TechMindSociety 2018
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450354202
DOIs	https://doi.org/10.1145/3183654.3183700
State	Published - Apr 5 2018
Event	2018 Technology, Mind, and Society Conference, TechMindSociety 2018 - Washington, United States Duration: Apr 5 2018 → Apr 7 2018

Publication series

Name	ACM International Conference Proceeding Series

Other

Other	2018 Technology, Mind, and Society Conference, TechMindSociety 2018
Country	United States
City	Washington
Period	4/5/18 → 4/7/18

Keywords

ACM proceedings
Text tagging

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1145/3183654.3183700

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Can semi-Anthropomorphism influence trust and compliance? Exploring image use in app interfaces. / Gruber, Dara; Aune, Ashley; Koutstaal, Wilma.

Proceedings of the Technology, Mind, and Society Conference, TechMindSociety 2018. Association for Computing Machinery, 2018. a13 (ACM International Conference Proceeding Series).

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

Gruber, D, Aune, A & Koutstaal, W 2018, Can semi-Anthropomorphism influence trust and compliance? Exploring image use in app interfaces. in Proceedings of the Technology, Mind, and Society Conference, TechMindSociety 2018., a13, ACM International Conference Proceeding Series, Association for Computing Machinery, 2018 Technology, Mind, and Society Conference, TechMindSociety 2018, Washington, United States, 4/5/18. https://doi.org/10.1145/3183654.3183700

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abstract = "Relying on automated suggestions from technology to make decisions has become a part of our everyday life. Most existing research examines trust in automation for high-risk domains as well as vast recommender systems for low-risk consumer use. This research aims to evaluate human trust in automated decision AIDS for low-risk everyday use, where one automated suggestion is presented and a few alternative options are available. In the current study, we investigate whether anthropomorphic imagery and information reliability can influence perceived trust of the automated decision aid. We report on results from 105 participants, which suggest that levels of semi-Anthropomorphic imagery do not influence trust in the way that a full anthropomorphic image of a human might. Our work contributes to a deeper understanding of how to utilize design, specifically visual imagery, to appropriately calibrate trust in automated decision AIDS for everyday use.",

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AB - Relying on automated suggestions from technology to make decisions has become a part of our everyday life. Most existing research examines trust in automation for high-risk domains as well as vast recommender systems for low-risk consumer use. This research aims to evaluate human trust in automated decision AIDS for low-risk everyday use, where one automated suggestion is presented and a few alternative options are available. In the current study, we investigate whether anthropomorphic imagery and information reliability can influence perceived trust of the automated decision aid. We report on results from 105 participants, which suggest that levels of semi-Anthropomorphic imagery do not influence trust in the way that a full anthropomorphic image of a human might. Our work contributes to a deeper understanding of how to utilize design, specifically visual imagery, to appropriately calibrate trust in automated decision AIDS for everyday use.

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Can semi-Anthropomorphism influence trust and compliance? Exploring image use in app interfaces

Abstract

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Keywords

UN SDGs

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