Personalisation of Communication and Language Use in Human-Robot Interaction

Abstract By providing daytime structure, Socially Assistive Robots (SARs) can assist older adults in autonomy and mitigate global challenges associated with the ageing society. Despite this potential, SARs are not yet fully integrated into healthcare. Therefore, this research explores the effectiveness of personalisation in communication and language use of SARs, using mass customization and personalised persuasion, to enhance acceptance and perceived persuasiveness of SARs for older adults. The research comprised two studies. Study 1 examined needs in communication and language use of SARs among older adults (N = 6), while Study 2 (N = 33) investigated the impact of mass customization on acceptance and perceived persuasiveness, along with personalised persuasion on perceived persuasiveness and suggestion adoption in a laboratory setting. Study 1 identified six customizable variables, including speech characteristics and the content of messages. Study 2 showed a significant positive effect of mass customization on perceived persuasiveness. Additionally, positive but non-significant correlations were observed between mass customization and acceptance, as well as between personalised persuasion and perceived persuasiveness. Therefore, this study suggests that personalisation through mass customization in SAR communication positively impacts the effectiveness of interventions for older adults. Accordingly, integrating customization in SAR communication may enhance interaction with older adults, addressing healthcare challenges associated with the ageing society.

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Publication Details

Journal
International Journal of Social Robotics
Published
2025-06-19
DOI
https://doi.org/10.1007/s12369-025-01267-w
Citations
1
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
5.59
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article

Personalisation of Communication and Language Use in Human-Robot Interaction

Wijnand A. IJsselsteijn, B. M. Hofstede, Sima Ipakchian Askari, Raymond H. Cuijpers et al.
1 citations
International Journal of Social Robotics
Technology Use by Older Adults
5.59
article

Personalisation of Communication and Language Use in Human-Robot Interaction

Wijnand A. IJsselsteijn, B. M. Hofstede, Sima Ipakchian Askari, Raymond H. Cuijpers, Henk Herman Nap, Chao Zhang
article en
1 citations

Abstract

Abstract By providing daytime structure, Socially Assistive Robots (SARs) can assist older adults in autonomy and mitigate global challenges associated with the ageing society. Despite this potential, SARs are not yet fully integrated into healthcare. Therefore, this research explores the effectiveness of personalisation in communication and language use of SARs, using mass customization and personalised persuasion, to enhance acceptance and perceived persuasiveness of SARs for older adults. The research comprised two studies. Study 1 examined needs in communication and language use of SARs among older adults (N = 6), while Study 2 (N = 33) investigated the impact of mass customization on acceptance and perceived persuasiveness, along with personalised persuasion on perceived persuasiveness and suggestion adoption in a laboratory setting. Study 1 identified six customizable variables, including speech characteristics and the content of messages. Study 2 showed a significant positive effect of mass customization on perceived persuasiveness. Additionally, positive but non-significant correlations were observed between mass customization and acceptance, as well as between personalised persuasion and perceived persuasiveness. Therefore, this study suggests that personalisation through mass customization in SAR communication positively impacts the effectiveness of interventions for older adults. Accordingly, integrating customization in SAR communication may enhance interaction with older adults, addressing healthcare challenges associated with the ageing society.

International Journal of Social RoboticsVol. 17(10)
Eindhoven University of Technology (NL)
Quality Education
Openalex Percentile: Top 6%
Technology Use by Older Adults
5.59
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