"Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning

Hamzah Ziadeh; Caterina Ceccato; Jos Prinsen; Ethel Pruss; Anita Vrins; Hendrik Knoche; Maryam Alimardani

doi:10.1145/3568294.3580110

"Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning

Hamzah Ziadeh, Caterina Ceccato, Jos Prinsen, Ethel Pruss, Anita Vrins, Hendrik Knoche, Maryam Alimardani

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

120 Downloads (Pure)

Abstract

Adaptive robots have the potential to support the overloaded healthcare system by helping new stroke survivors learn about their conditions. However, current adaptive robots often fail to maintain users' engagement during interactions. This study investigated the impact of an adaptive robot on Social Agency which has been proposed to influence engagement during learning. Twenty-four healthy subjects participated in a study where they learned about stroke symptoms from a robot providing social cues either 1) when their engagement measured by a Brain-Computer Interface (BCI) decreased or 2) at random intervals. While the results confirmed that Social Agency correlated with Engagement, the robot's adaptive behaviour did not increase Social Agency, Engagement, and Information Recall. Using qualitative methods, we propose that adaptive robots need to explicitly acknowledge users to increase Social Agency.

Original language	English
Title of host publication	Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction : HRI ’23 Companion
Number of pages	6
Publisher	Association for Computing Machinery (ACM)
Publication date	13 Mar 2023
Pages	378-383
ISBN (Electronic)	978-1-4503-9970-8
DOIs	https://doi.org/10.1145/3568294.3580110
Publication status	Published - 13 Mar 2023
Event	ACM/IEEE International Conference on Human-Robot Interaction (HRI'23 WYSD Workshop) - Stockholm, Sweden Duration: 13 Mar 2023 → 16 Aug 2023

Conference

Conference	ACM/IEEE International Conference on Human-Robot Interaction (HRI'23 WYSD Workshop)
Country/Territory	Sweden
City	Stockholm
Period	13/03/2023 → 16/08/2023

Keywords

Adaptive Social Robots
Brain-Computer Interface (BCI)
Engagement
Human-Robot Interaction (HRI)
Social Agency
Stroke

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10.1145/3568294.3580110

lbr1133-ziadehFinal published version, 1.34 MBLicence: CC BY 4.0

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Ziadeh, H., Ceccato, C., Prinsen, J., Pruss, E., Vrins, A., Knoche, H., & Alimardani, M. (2023). "Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction: HRI ’23 Companion (pp. 378-383). Association for Computing Machinery (ACM). https://doi.org/10.1145/3568294.3580110

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abstract = "Adaptive robots have the potential to support the overloaded healthcare system by helping new stroke survivors learn about their conditions. However, current adaptive robots often fail to maintain users' engagement during interactions. This study investigated the impact of an adaptive robot on Social Agency which has been proposed to influence engagement during learning. Twenty-four healthy subjects participated in a study where they learned about stroke symptoms from a robot providing social cues either 1) when their engagement measured by a Brain-Computer Interface (BCI) decreased or 2) at random intervals. While the results confirmed that Social Agency correlated with Engagement, the robot's adaptive behaviour did not increase Social Agency, Engagement, and Information Recall. Using qualitative methods, we propose that adaptive robots need to explicitly acknowledge users to increase Social Agency.",

keywords = "Adaptive Social Robots, Brain-Computer Interface (BCI), Engagement, Human-Robot Interaction (HRI), Social Agency, Stroke",

author = "Hamzah Ziadeh and Caterina Ceccato and Jos Prinsen and Ethel Pruss and Anita Vrins and Hendrik Knoche and Maryam Alimardani",

year = "2023",

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doi = "10.1145/3568294.3580110",

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pages = "378--383",

booktitle = "Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction",

publisher = "Association for Computing Machinery (ACM)",

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note = "ACM/IEEE International Conference on Human-Robot Interaction (HRI'23 WYSD Workshop) ; Conference date: 13-03-2023 Through 16-08-2023",

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Ziadeh, H, Ceccato, C, Prinsen, J, Pruss, E, Vrins, A, Knoche, H & Alimardani, M 2023, "Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning. in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction: HRI ’23 Companion. Association for Computing Machinery (ACM), pp. 378-383, ACM/IEEE International Conference on Human-Robot Interaction (HRI'23 WYSD Workshop), Stockholm, Sweden, 13/03/2023. https://doi.org/10.1145/3568294.3580110

"Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning. / Ziadeh, Hamzah; Ceccato, Caterina; Prinsen, Jos et al.
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction: HRI ’23 Companion. Association for Computing Machinery (ACM), 2023. p. 378-383.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - "Feeling Unseen"

T2 - ACM/IEEE International Conference on Human-Robot Interaction (HRI'23 WYSD Workshop)

AU - Ziadeh, Hamzah

AU - Ceccato, Caterina

AU - Prinsen, Jos

AU - Pruss, Ethel

AU - Vrins, Anita

AU - Knoche, Hendrik

AU - Alimardani, Maryam

PY - 2023/3/13

Y1 - 2023/3/13

N2 - Adaptive robots have the potential to support the overloaded healthcare system by helping new stroke survivors learn about their conditions. However, current adaptive robots often fail to maintain users' engagement during interactions. This study investigated the impact of an adaptive robot on Social Agency which has been proposed to influence engagement during learning. Twenty-four healthy subjects participated in a study where they learned about stroke symptoms from a robot providing social cues either 1) when their engagement measured by a Brain-Computer Interface (BCI) decreased or 2) at random intervals. While the results confirmed that Social Agency correlated with Engagement, the robot's adaptive behaviour did not increase Social Agency, Engagement, and Information Recall. Using qualitative methods, we propose that adaptive robots need to explicitly acknowledge users to increase Social Agency.

AB - Adaptive robots have the potential to support the overloaded healthcare system by helping new stroke survivors learn about their conditions. However, current adaptive robots often fail to maintain users' engagement during interactions. This study investigated the impact of an adaptive robot on Social Agency which has been proposed to influence engagement during learning. Twenty-four healthy subjects participated in a study where they learned about stroke symptoms from a robot providing social cues either 1) when their engagement measured by a Brain-Computer Interface (BCI) decreased or 2) at random intervals. While the results confirmed that Social Agency correlated with Engagement, the robot's adaptive behaviour did not increase Social Agency, Engagement, and Information Recall. Using qualitative methods, we propose that adaptive robots need to explicitly acknowledge users to increase Social Agency.

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ER -

Ziadeh H, Ceccato C, Prinsen J, Pruss E, Vrins A, Knoche H et al. "Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction: HRI ’23 Companion. Association for Computing Machinery (ACM). 2023. p. 378-383 doi: 10.1145/3568294.3580110

"Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

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RES-Q+: Comprehensive solutions for healthcare improvement based on the global Registry of Stroke Care Quality

IRENE COST action CA18118

IRENE: Implementation Research Network in Stroke Care Quality, COST action CA18118

Cite this

"Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User’s Social Agency During Learning

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

RES-Q+: Comprehensive solutions for healthcare improvement based on the global Registry of Stroke Care Quality

IRENE COST action CA18118

IRENE: Implementation Research Network in Stroke Care Quality, COST action CA18118

Cite this