The Effects of Interaction Strategy and Robot Intent on Shopping Behavior

Cedric Burg; Matthias Rehm; Carlos Gomez Cubero

doi:10.1109/RO-MAN53752.2022.9900562

The Effects of Interaction Strategy and Robot Intent on Shopping Behavior

Cedric Burg, Matthias Rehm, Carlos Gomez Cubero

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

There is a growing interest in the retail industry to deploy service robots for customer interactions. Deploying such customer-facing robots raises the question of how we want to interact with these robots and reveals concerns that businesses and marketers could use robots to manipulate consumers. In this experiment, 67 study participants interacted with different virtual shopping robots that tried to impact "shoppers"purchasing decisions. The results indicate that a robot can increase consumer spending. The study exemplifies how a collaborative robot could be used as a customer-serving robot in a retail environment and investigates the impact of (i) different interaction strategies (human vs robot control) and (ii) dark patterns on shopping behavior (manipulative vs supportive robot).

Originalsprog	Engelsk
Titel	Proceedings of 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) : Social, Asocial, and Antisocial Robots
Antal sider	6
Forlag	IEEE
Publikationsdato	2022
Sider	1001-1006
Artikelnummer	9900562
ISBN (Trykt)	978-1-6654-0680-2
ISBN (Elektronisk)	978-1-7281-8859-1
DOI	https://doi.org/10.1109/RO-MAN53752.2022.9900562
Status	Udgivet - 2022
Begivenhed	31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - Napoli, Italien Varighed: 29 aug. 2022 → 2 sep. 2022

Konference

Konference	31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Land/Område	Italien
By	Napoli
Periode	29/08/2022 → 02/09/2022

Navn	IEEE RO-MAN proceedings
ISSN	1944-9445

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10.1109/RO-MAN53752.2022.9900562

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title = "The Effects of Interaction Strategy and Robot Intent on Shopping Behavior",

abstract = "There is a growing interest in the retail industry to deploy service robots for customer interactions. Deploying such customer-facing robots raises the question of how we want to interact with these robots and reveals concerns that businesses and marketers could use robots to manipulate consumers. In this experiment, 67 study participants interacted with different virtual shopping robots that tried to impact {"}shoppers{"}purchasing decisions. The results indicate that a robot can increase consumer spending. The study exemplifies how a collaborative robot could be used as a customer-serving robot in a retail environment and investigates the impact of (i) different interaction strategies (human vs robot control) and (ii) dark patterns on shopping behavior (manipulative vs supportive robot).",

keywords = "Human Robot Interaction, assisted shopping, Dark Design",

author = "Cedric Burg and Matthias Rehm and Cubero, {Carlos Gomez}",

year = "2022",

doi = "10.1109/RO-MAN53752.2022.9900562",

language = "English",

isbn = "978-1-6654-0680-2",

series = "IEEE RO-MAN proceedings",

publisher = "IEEE",

pages = "1001--1006",

booktitle = "Proceedings of 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)",

address = "United States",

note = "31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) ; Conference date: 29-08-2022 Through 02-09-2022",

}

Burg, C, Rehm, M & Cubero, CG 2022, The Effects of Interaction Strategy and Robot Intent on Shopping Behavior. i Proceedings of 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): Social, Asocial, and Antisocial Robots., 9900562, IEEE, IEEE RO-MAN proceedings, s. 1001-1006, 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Napoli, Italien, 29/08/2022. https://doi.org/10.1109/RO-MAN53752.2022.9900562

The Effects of Interaction Strategy and Robot Intent on Shopping Behavior. / Burg, Cedric; Rehm, Matthias; Cubero, Carlos Gomez.
Proceedings of 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): Social, Asocial, and Antisocial Robots. IEEE, 2022. s. 1001-1006 9900562 (IEEE RO-MAN proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AB - There is a growing interest in the retail industry to deploy service robots for customer interactions. Deploying such customer-facing robots raises the question of how we want to interact with these robots and reveals concerns that businesses and marketers could use robots to manipulate consumers. In this experiment, 67 study participants interacted with different virtual shopping robots that tried to impact "shoppers"purchasing decisions. The results indicate that a robot can increase consumer spending. The study exemplifies how a collaborative robot could be used as a customer-serving robot in a retail environment and investigates the impact of (i) different interaction strategies (human vs robot control) and (ii) dark patterns on shopping behavior (manipulative vs supportive robot).

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The Effects of Interaction Strategy and Robot Intent on Shopping Behavior

Abstract

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