The Heart of Effort: Revealing Heart Rate Patterns in Real-Effort Tasks

Anke Greif-Winzrieth (), Verena Dorner (), Johannes Könemann () and Gerlinde Fellner-Röhling ()
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Anke Greif-Winzrieth: Karlsruhe Institute of Technology (KIT)
Verena Dorner: Vienna University of Economics and Business (WU)
Johannes Könemann: Vienna University of Economics and Business (WU)
Gerlinde Fellner-Röhling: Vienna University of Economics and Business (WU)

A chapter in Information Systems and Neuroscience, 2025, pp 287-298 from Springer

Abstract: Abstract Many laboratory experiments use real-effort tasks to increase the external validity of their findings. Real-effort tasks activate emotional reactions that are absent in stated-effort tasks. But there is little evidence whether and to which extent emotional reactions differ between participants, and how they affect effort provision. Since self-reported measures can be sensitive to the experimental context, we use heart rate measurements to investigate how participants feel during the task. We conducted a real-effort experiment with 84 participants and collected heart rate data with Polar H10 Heart Rate Sensors. We applied time series clustering on the heart rate data, focusing on shape-based distance (SBD) and k-shape clustering for analysis. The results demonstrate differences in heart rate patterns among participant clusters, but not in effort provision. This research contributes to a better understanding of emotional reactions during real-effort tasks and offers a novel approach to studying these emotions using heart rate measurements.

Keywords: Heart rate; Time series clustering; Real-effort task; Slider task (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-71385-9_25

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DOI: 10.1007/978-3-031-71385-9_25

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