Measuring willingness to accept social robot's recommendations (WASRR)

Isha Kharub; Michael Lwin; Aila Khan; Omar Mubin; Zhao Zou

doi:10.1007/978-981-99-8718-4_15

Measuring willingness to accept social robot's recommendations (WASRR)

Isha Kharub, Michael Lwin, Aila Khan, Omar Mubin, Zhao Zou

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Social robots are increasingly being used in the hospitality industry to provide service recommendations. Recommendations have been shown to impact customer satisfaction and lead to higher sales. However, a lack of a measurement of willingness to accept social robot recommendations (WASRR) makes it difficult for managers to evaluate the usefulness of these recommendations to customers. How do consumers perceive the recommendations provided by social robots? This study will adopt Churchill (1979) and Devillis (1991) to develop the WASRR scale that will provide a strong diagnostic assessment of the recommendations. The paper will discuss the first stage of scale development, which includes a literature review, a thesaurus search, and expert panel interviews. WASRR scale will help organisations improve customer satisfaction, efficiency, and productivity by deploying social robots to provide recommendations in industries facing labour shortages. Additionally, the WASRR scale will help assess the ability of social robots to provide recommendations.

Original language	English
Title of host publication	Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I
Editors	Abdulaziz Al Ali, John-John Cabibihan, Nader Meskin, Silvia Rossi, Wanyue Jiang, Hongsheng He, Shuzhi Sam Ge
Publisher	Springer
Pages	171-181
Number of pages	11
ISBN (Print)	9789819987177
DOIs	https://doi.org/10.1007/978-981-99-8718-4_15
Publication status	Published - 2024
Event	International Conference on Social Robotics - Duration: 3 Dec 2023 → …

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14454 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Social Robotics
Period	3/12/23 → …

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

Keywords

Human-Robot Interaction
Psychometric measure
Recommendation Acceptance
Scale development
Social Robots
Willingness to accept social robot’s recommendations

Access to Document

10.1007/978-981-99-8718-4_15

Cite this

Kharub, I., Lwin, M., Khan, A., Mubin, O., & Zou, Z. (2024). Measuring willingness to accept social robot's recommendations (WASRR). In A. A. Ali, J.-J. Cabibihan, N. Meskin, S. Rossi, W. Jiang, H. He, & S. S. Ge (Eds.), Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I (pp. 171-181). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14454 LNAI). Springer. https://doi.org/10.1007/978-981-99-8718-4_15

Kharub, Isha ; Lwin, Michael ; Khan, Aila et al. / Measuring willingness to accept social robot's recommendations (WASRR). Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I. editor / Abdulaziz Al Ali ; John-John Cabibihan ; Nader Meskin ; Silvia Rossi ; Wanyue Jiang ; Hongsheng He ; Shuzhi Sam Ge. Springer, 2024. pp. 171-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Kharub, I, Lwin, M , Khan, A , Mubin, O & Zou, Z 2024, Measuring willingness to accept social robot's recommendations (WASRR). in AA Ali, J-J Cabibihan, N Meskin, S Rossi, W Jiang, H He & SS Ge (eds), Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14454 LNAI, Springer, pp. 171-181, International Conference on Social Robotics, 3/12/23. https://doi.org/10.1007/978-981-99-8718-4_15

Measuring willingness to accept social robot's recommendations (WASRR). / Kharub, Isha; Lwin, Michael ; Khan, Aila et al.
Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I. ed. / Abdulaziz Al Ali; John-John Cabibihan; Nader Meskin; Silvia Rossi; Wanyue Jiang; Hongsheng He; Shuzhi Sam Ge. Springer, 2024. p. 171-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14454 LNAI).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Measuring willingness to accept social robot's recommendations (WASRR)

AU - Kharub, Isha

AU - Lwin, Michael

AU - Khan, Aila

AU - Mubin, Omar

AU - Zou, Zhao

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

PY - 2024

Y1 - 2024

N2 - Social robots are increasingly being used in the hospitality industry to provide service recommendations. Recommendations have been shown to impact customer satisfaction and lead to higher sales. However, a lack of a measurement of willingness to accept social robot recommendations (WASRR) makes it difficult for managers to evaluate the usefulness of these recommendations to customers. How do consumers perceive the recommendations provided by social robots? This study will adopt Churchill (1979) and Devillis (1991) to develop the WASRR scale that will provide a strong diagnostic assessment of the recommendations. The paper will discuss the first stage of scale development, which includes a literature review, a thesaurus search, and expert panel interviews. WASRR scale will help organisations improve customer satisfaction, efficiency, and productivity by deploying social robots to provide recommendations in industries facing labour shortages. Additionally, the WASRR scale will help assess the ability of social robots to provide recommendations.

AB - Social robots are increasingly being used in the hospitality industry to provide service recommendations. Recommendations have been shown to impact customer satisfaction and lead to higher sales. However, a lack of a measurement of willingness to accept social robot recommendations (WASRR) makes it difficult for managers to evaluate the usefulness of these recommendations to customers. How do consumers perceive the recommendations provided by social robots? This study will adopt Churchill (1979) and Devillis (1991) to develop the WASRR scale that will provide a strong diagnostic assessment of the recommendations. The paper will discuss the first stage of scale development, which includes a literature review, a thesaurus search, and expert panel interviews. WASRR scale will help organisations improve customer satisfaction, efficiency, and productivity by deploying social robots to provide recommendations in industries facing labour shortages. Additionally, the WASRR scale will help assess the ability of social robots to provide recommendations.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I

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A2 - Cabibihan, John-John

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A2 - Rossi, Silvia

A2 - Jiang, Wanyue

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PB - Springer

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Kharub I, Lwin M , Khan A , Mubin O, Zou Z. Measuring willingness to accept social robot's recommendations (WASRR). In Ali AA, Cabibihan JJ, Meskin N, Rossi S, Jiang W, He H, Ge SS, editors, Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I. Springer. 2024. p. 171-181. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-981-99-8718-4_15

Measuring willingness to accept social robot's recommendations (WASRR)

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Keywords

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