Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots

Stapels JG, Eyssel F (2024)
International Journal of Social Robotics 16(4): 725-741.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Stapels, Julia G.; Eyssel, FriederikeUniBi
Abstract / Bemerkung
**Abstract**
Robots are a source of evaluative conflict and thus elicit ambivalence. In fact, psychological research has shown across domains that people simultaneously report strong positive and strong negative evaluations about one and the same attitude object. This is defined as ambivalence. In the current research, we extended existing ambivalence research by measuring ambivalence towards various robot-related stimuli using explicit (i.e., self-report) and implicit measures. Concretely, we used a mouse tracking approach to gain insights into the experience and resolution of evaluative conflict elicited by robots. We conducted an extended replication across four experiments withN= 411 overall. This featured a mixed-methods approach and included a single paper meta-analysis. Thereby, we showed that the amount of reported conflicting thoughts and feelings (i.e., objective ambivalence) and self-reported experienced conflict (i.e., subjective ambivalence) were consistently higher towards robot-related stimuli compared to stimuli evoking univalent responses. Further, implicit measures of ambivalence revealed that response times were higher when evaluating robot-related stimuli compared to univalent stimuli, however results concerning behavioral indicators of ambivalence in mouse trajectories were inconsistent. This might indicate that behavioral indicators of ambivalence apparently depend on the respective robot-related stimulus. We could not obtain evidence of systematic information processing as a cognitive indicator of ambivalence, however, qualitative data suggested that participants might focus on especially strong arguments to compensate their experienced conflict. Furthermore, interindividual differences did not seem to substantially influence ambivalence towards robots. Taken together, the current work successfully applied the implicit and explicit measurement of ambivalent attitudes to the domain of social robotics, while at the same time identifying potential boundaries for its application.
Erscheinungsjahr
2024
Zeitschriftentitel
International Journal of Social Robotics
Band
16
Ausgabe
4
Seite(n)
725-741
ISSN
1875-4791
eISSN
1875-4805
Page URI
https://pub.uni-bielefeld.de/record/2989191

Zitieren

Stapels JG, Eyssel F. Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots. International Journal of Social Robotics. 2024;16(4):725-741.
Stapels, J. G., & Eyssel, F. (2024). Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots. International Journal of Social Robotics, 16(4), 725-741. https://doi.org/10.1007/s12369-024-01112-6
Stapels, Julia G., and Eyssel, Friederike. 2024. “Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots”. International Journal of Social Robotics 16 (4): 725-741.
Stapels, J. G., and Eyssel, F. (2024). Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots. International Journal of Social Robotics 16, 725-741.
Stapels, J.G., & Eyssel, F., 2024. Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots. International Journal of Social Robotics, 16(4), p 725-741.
J.G. Stapels and F. Eyssel, “Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots”, International Journal of Social Robotics, vol. 16, 2024, pp. 725-741.
Stapels, J.G., Eyssel, F.: Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots. International Journal of Social Robotics. 16, 725-741 (2024).
Stapels, Julia G., and Eyssel, Friederike. “Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots”. International Journal of Social Robotics 16.4 (2024): 725-741.
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