Applying the Perceived Creepiness of Technology Scale to Social Robots

Designing positive robot experiences requires an understanding of users' perceptions and meeting their needs in an ethical manner. However, despite best intentions, users have strong positive or negative reactions to robots, either finding them “cute“ or “creepy”. The Perceived Creepiness of Technology Scale (PCTS) was designed for evaluating how creepy a technology appears to a user on first encounter. In this paper we applied the PCTS to a cross-section of social robots to measure their perceived creepiness and evaluate the strengths and weaknesses of PCTS when applied in a Human-Robot Interaction (HRI) context. We demonstrate that while a robot may not be perceived as creepy initially, it can have underlying unethical practices inherent in its design which is not well captured by the PCTS. This emphasises the need for better HRI practices to ensure creepiness is appropriately assessed in the social robot domain.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10973926
Citations
2
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
4.21
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article

Applying the Perceived Creepiness of Technology Scale to Social Robots

Jessica Turner, Katarzyna Stawarz, Nicholas Vanderschantz, Judy Bowen et al.
2 citations
Innovation Diffusion and Forecasting
4.21
article

Applying the Perceived Creepiness of Technology Scale to Social Robots

Jessica Turner, Katarzyna Stawarz, Nicholas Vanderschantz, Judy Bowen, Jemma L König
article en
2 citations

Abstract

Designing positive robot experiences requires an understanding of users' perceptions and meeting their needs in an ethical manner. However, despite best intentions, users have strong positive or negative reactions to robots, either finding them “cute“ or “creepy”. The Perceived Creepiness of Technology Scale (PCTS) was designed for evaluating how creepy a technology appears to a user on first encounter. In this paper we applied the PCTS to a cross-section of social robots to measure their perceived creepiness and evaluate the strengths and weaknesses of PCTS when applied in a Human-Robot Interaction (HRI) context. We demonstrate that while a robot may not be perceived as creepy initially, it can have underlying unethical practices inherent in its design which is not well captured by the PCTS. This emphasises the need for better HRI practices to ensure creepiness is appropriately assessed in the social robot domain.

University of Waikato (NZ), Cardiff University (GB)
Reduced inequalities
Openalex Percentile: Top 7%
Innovation Diffusion and Forecasting
4.21
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