Cited by 60Flow Experience in Various FieldsEmotion and Mood RecognitionHuman-Automation Interaction and Safety

Capturing user engagement via psychophysiology: measures and mechanisms for biocybernetic adaptation

Fairclough, Stephen H., Gilleade, Kiel, Ewing, Katie C., Roberts, Jenna·2013·International Journal of Autonomous and Adaptive Communications Systems

Abstract

The concept of task engagement is associated with effortful striving to reach a desired goal. This dimension is fundamental for software designed to elicit high quality performance. This paper will review the concept of task engagement, both in the psychological literature and with respect to affective computing approaches, such as biofeedback and the definition of ‘flow’ states. This paper will briefly describe a series of laboratory experiments designed to explore measures of task engagement based on EEG and cardiovascular measures. These experiments employed a number of manipulations to influence task engagement, e.g. performance feedback, task difficulty and financial incentives. Results demonstrated the sensitivity of EEG measures to cognitive sources of engagement (e.g. mental workload) whilst cardiovascular variables tended to respond to the motivation to achieve. We use these findings to explore how real-time monitoring of engagement may generate adaptive dynamics for software design using a computer game as an exemplar system.

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Registry

Crossref · 10.1504/ijaacs.2013.050694

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39 of 39 references verified0 citation errors · 0 not checkable

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  • Psychophysiological measurements have been used to measure users' task-engagement.

    “Psychophysiological measurements, ranging from skin conductance and heart rate to facial expression or fMRI, have been used to measure users' task-engagement.39”
  • Psychophysiological measures can help identify aspects of the intervention that attract attention or evoke emotional arousal, suggesting mechanisms through which DBCI content or design impact short term engagement.

    “Such measures can help identify aspects of the intervention that attract attention or evoke emotional arousal, suggesting mechanisms through which DBCI content or design impact short term engagement.”

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Authors
Fairclough, S. H., Gilleade, K., Ewing, K. C., & Roberts, J.
Affiliations
Liverpool John Moores University (GB)
Venue
International Journal of Autonomous and Adaptive Communications Systems
Published
2013
Volume
6
Issue
1
Pages
63
ISSN
  • 1754-8632 (ISSN-L)
  • 1754-8640
OpenAlex
W1999289753
Cited by
60
References
39
Citations by year
2026: 3 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 1 · 2021: 7 · 2020: 8 · 2019: 2 · 2018: 5 · 2017: 2 · 2016: 9 · 2015: 3 · 2014: 7 · 2013: 1
FWCI
7.08
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Autonomous and Adaptive Communications Systems (publishedVersion)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Flow Experience in Various Fields
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
Keywords
task engagement, psychophysiology, flow experience, biofeedback, affective computing, EEG, mental workload, cardiovascular parameters, performance feedback, task difficulty, financial incentives, video games, motivation

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