Bon Appetit! Robot Persuasion for Food Recommendation

Sarita Herse; Jesse Clark; William Judge; Mary-Anne Williams; Jonathan Vitale; Daniel Ebrahimian; Meg Tonkin; Suman Ojha; Sidra Sidra; Benjamin Johnston; Sophie Phillips; Siva Leela Krishna Chand Gudi

doi:10.1145/3173386.3177028

Bon Appetit! Robot Persuasion for Food Recommendation

Sarita Herse
, Jesse Clark
, William Judge
, Mary-Anne Williams
, Jonathan Vitale
, Daniel Ebrahimian
, Meg Tonkin
, Suman Ojha
, Sidra Sidra
, Benjamin Johnston
, Sophie Phillips
, Siva Leela Krishna Chand Gudi

School of Science & Technology

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

30 Citations (Scopus)

Abstract

The integration of social robots within service industries requires social robots to be persuasive. We conducted a vignette experiment to investigate the persuasiveness of a human, robot, and an information kiosk when offering consumers a restaurant recommendation. We found that embodiment type significantly affects the persuasiveness of the agent, but only when using a specific recommendation sentence. These preliminary results suggest that human-like features of an agent may serve to boost persuasion in recommendation systems. However, the extent of the effect is determined by the nature of the given recommendation.

Original language	English
Title of host publication	ACM/IEEE International Conference on Human-Robot Interaction
Place of Publication	United States of America
Publisher	Association for Computing Machinery
Pages	125-126
ISBN (Print)	9781450356152
DOIs	https://doi.org/10.1145/3173386.3177028
Publication status	Published - 2018
Event	HRI 2018: ACM/IEEE International Conference on Human-Robot Interaction - , United States Duration: 5 Mar 2018 → 8 Mar 2018

Conference

Conference	HRI 2018: ACM/IEEE International Conference on Human-Robot Interaction
Country/Territory	United States
Period	5/03/18 → 8/03/18

Access to Document

10.1145/3173386.3177028

https://hdl.handle.net/1959.11/59136

Handle.net

Persistent link

Cite this

Herse, S., Clark, J., Judge, W., Williams, M.-A., Vitale, J., Ebrahimian, D., Tonkin, M., Ojha, S., Sidra, S., Johnston, B., Phillips, S., & Gudi, S. L. K. C. (2018). Bon Appetit! Robot Persuasion for Food Recommendation. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 125-126). Association for Computing Machinery. https://doi.org/10.1145/3173386.3177028

@inproceedings{adfd3c5f3ac84fee89e573d2bd70cea2,

title = "Bon Appetit! Robot Persuasion for Food Recommendation",

abstract = "The integration of social robots within service industries requires social robots to be persuasive. We conducted a vignette experiment to investigate the persuasiveness of a human, robot, and an information kiosk when offering consumers a restaurant recommendation. We found that embodiment type significantly affects the persuasiveness of the agent, but only when using a specific recommendation sentence. These preliminary results suggest that human-like features of an agent may serve to boost persuasion in recommendation systems. However, the extent of the effect is determined by the nature of the given recommendation.",

author = "Sarita Herse and Jesse Clark and William Judge and Mary-Anne Williams and Jonathan Vitale and Daniel Ebrahimian and Meg Tonkin and Suman Ojha and Sidra Sidra and Benjamin Johnston and Sophie Phillips and Gudi, \{Siva Leela Krishna Chand\}",

year = "2018",

doi = "10.1145/3173386.3177028",

language = "English",

isbn = "9781450356152",

pages = "125--126",

booktitle = "ACM/IEEE International Conference on Human-Robot Interaction",

publisher = "Association for Computing Machinery",

note = "HRI 2018: ACM/IEEE International Conference on Human-Robot Interaction ; Conference date: 05-03-2018 Through 08-03-2018",

}

Herse, S, Clark, J, Judge, W, Williams, M-A, Vitale, J, Ebrahimian, D, Tonkin, M, Ojha, S, Sidra, S, Johnston, B, Phillips, S & Gudi, SLKC 2018, Bon Appetit! Robot Persuasion for Food Recommendation. in ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, United States of America, pp. 125-126, HRI 2018: ACM/IEEE International Conference on Human-Robot Interaction, United States, 5/03/18. https://doi.org/10.1145/3173386.3177028

TY - GEN

T1 - Bon Appetit! Robot Persuasion for Food Recommendation

AU - Herse, Sarita

AU - Clark, Jesse

AU - Judge, William

AU - Williams, Mary-Anne

AU - Vitale, Jonathan

AU - Ebrahimian, Daniel

AU - Tonkin, Meg

AU - Ojha, Suman

AU - Sidra, Sidra

AU - Johnston, Benjamin

AU - Phillips, Sophie

AU - Gudi, Siva Leela Krishna Chand

PY - 2018

Y1 - 2018

N2 - The integration of social robots within service industries requires social robots to be persuasive. We conducted a vignette experiment to investigate the persuasiveness of a human, robot, and an information kiosk when offering consumers a restaurant recommendation. We found that embodiment type significantly affects the persuasiveness of the agent, but only when using a specific recommendation sentence. These preliminary results suggest that human-like features of an agent may serve to boost persuasion in recommendation systems. However, the extent of the effect is determined by the nature of the given recommendation.

AB - The integration of social robots within service industries requires social robots to be persuasive. We conducted a vignette experiment to investigate the persuasiveness of a human, robot, and an information kiosk when offering consumers a restaurant recommendation. We found that embodiment type significantly affects the persuasiveness of the agent, but only when using a specific recommendation sentence. These preliminary results suggest that human-like features of an agent may serve to boost persuasion in recommendation systems. However, the extent of the effect is determined by the nature of the given recommendation.

U2 - 10.1145/3173386.3177028

DO - 10.1145/3173386.3177028

M3 - Conference contribution

SN - 9781450356152

SP - 125

EP - 126

BT - ACM/IEEE International Conference on Human-Robot Interaction

PB - Association for Computing Machinery

CY - United States of America

T2 - HRI 2018: ACM/IEEE International Conference on Human-Robot Interaction

Y2 - 5 March 2018 through 8 March 2018

ER -

Bon Appetit! Robot Persuasion for Food Recommendation

Abstract

Conference

Access to Document

Handle.net

Fingerprint

Cite this