Do you trust me, blindly?: Factors influencing trust towards a robot recommender system

Sarita Herse; Jonathan Vitale; Meg Tonkin; Daniel Ebrahimian; Suman Ojha; Benjamin Johnston; William Judge; Mary-Anne Williams

doi:10.1109/ROMAN.2018.8525581

Do you trust me, blindly? Factors influencing trust towards a robot recommender system

Sarita Herse, Jonathan Vitale, Meg Tonkin, Daniel Ebrahimian, Suman Ojha, Benjamin Johnston, William Judge, Mary-Anne Williams

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

33 Citations (Scopus)

Abstract

When robots and human users collaborate, trust is essential for user acceptance and engagement. In this paper, we investigated two factors thought to influence user trust towards a robot: preference elicitation (a combination of user involvement and explanation) and embodiment. We set our experiment in the application domain of a restaurant recommender system, assessing trust via user decision making and perceived source credibility. Previous research in this area uses simulated environments and recommender systems that present the user with the best choice from a pool of options. This experiment builds on past work in two ways: first, we strengthened the ecological validity of our experimental paradigm by incorporating perceived risk during decision making; and second, we used a system that recommends a nonoptimal choice to the user. While no effect of embodiment is found for trust, the inclusion of preference elicitation features significantly increases user trust towards the robot recommender system. These findings have implications for marketing and health promotion in relation to Human-Robot Interaction and call for further investigation into the development and maintenance of trust between robot and user.

Original language	English
Title of host publication	2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
Place of Publication	Nanjing
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	7-14
Number of pages	8
ISBN (Electronic)	9781538679807
ISBN (Print)	9781538679814
DOIs	https://doi.org/10.1109/ROMAN.2018.8525581
Publication status	Published - 2018
Externally published	Yes
Event	IEEE International Symposium on Robot and Human Interactive Communication 2018 - Nanjing, China Duration: 27 Aug 2018 → 31 Aug 2018

Conference

Conference	IEEE International Symposium on Robot and Human Interactive Communication 2018
Abbreviated title	RO-MAN 2018
Country/Territory	China
City	Nanjing
Period	27/08/18 → 31/08/18

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10.1109/ROMAN.2018.8525581

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Herse, S., Vitale, J., Tonkin, M., Ebrahimian, D., Ojha, S., Johnston, B., Judge, W., & Williams, M.-A. (2018). Do you trust me, blindly? Factors influencing trust towards a robot recommender system. In 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (pp. 7-14). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ROMAN.2018.8525581

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title = "Do you trust me, blindly?: Factors influencing trust towards a robot recommender system",

abstract = "When robots and human users collaborate, trust is essential for user acceptance and engagement. In this paper, we investigated two factors thought to influence user trust towards a robot: preference elicitation (a combination of user involvement and explanation) and embodiment. We set our experiment in the application domain of a restaurant recommender system, assessing trust via user decision making and perceived source credibility. Previous research in this area uses simulated environments and recommender systems that present the user with the best choice from a pool of options. This experiment builds on past work in two ways: first, we strengthened the ecological validity of our experimental paradigm by incorporating perceived risk during decision making; and second, we used a system that recommends a nonoptimal choice to the user. While no effect of embodiment is found for trust, the inclusion of preference elicitation features significantly increases user trust towards the robot recommender system. These findings have implications for marketing and health promotion in relation to Human-Robot Interaction and call for further investigation into the development and maintenance of trust between robot and user.",

author = "Sarita Herse and Jonathan Vitale and Meg Tonkin and Daniel Ebrahimian and Suman Ojha and Benjamin Johnston and William Judge and Mary-Anne Williams",

year = "2018",

doi = "10.1109/ROMAN.2018.8525581",

language = "English",

isbn = "9781538679814",

pages = "7--14",

booktitle = "2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "IEEE International Symposium on Robot and Human Interactive Communication 2018, RO-MAN 2018 ; Conference date: 27-08-2018 Through 31-08-2018",

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Herse, S, Vitale, J, Tonkin, M, Ebrahimian, D, Ojha, S, Johnston, B, Judge, W & Williams, M-A 2018, Do you trust me, blindly? Factors influencing trust towards a robot recommender system. in 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). Institute of Electrical and Electronics Engineers (IEEE), Nanjing, pp. 7-14, IEEE International Symposium on Robot and Human Interactive Communication 2018, Nanjing, China, 27/08/18. https://doi.org/10.1109/ROMAN.2018.8525581

Do you trust me, blindly? Factors influencing trust towards a robot recommender system. / Herse, Sarita; Vitale, Jonathan; Tonkin, Meg et al.
2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). Nanjing: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 7-14.

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

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AU - Herse, Sarita

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AU - Tonkin, Meg

AU - Ebrahimian, Daniel

AU - Ojha, Suman

AU - Johnston, Benjamin

AU - Judge, William

AU - Williams, Mary-Anne

PY - 2018

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AB - When robots and human users collaborate, trust is essential for user acceptance and engagement. In this paper, we investigated two factors thought to influence user trust towards a robot: preference elicitation (a combination of user involvement and explanation) and embodiment. We set our experiment in the application domain of a restaurant recommender system, assessing trust via user decision making and perceived source credibility. Previous research in this area uses simulated environments and recommender systems that present the user with the best choice from a pool of options. This experiment builds on past work in two ways: first, we strengthened the ecological validity of our experimental paradigm by incorporating perceived risk during decision making; and second, we used a system that recommends a nonoptimal choice to the user. While no effect of embodiment is found for trust, the inclusion of preference elicitation features significantly increases user trust towards the robot recommender system. These findings have implications for marketing and health promotion in relation to Human-Robot Interaction and call for further investigation into the development and maintenance of trust between robot and user.

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DO - 10.1109/ROMAN.2018.8525581

M3 - Conference proceeding contribution

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PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 27 August 2018 through 31 August 2018

ER -

Do you trust me, blindly? Factors influencing trust towards a robot recommender system

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