Fundamentals of physiological computing
Abstract
This review paper is concerned with the development of physiological computing systems that employ real-time measures of psychophysiology to communicate the psychological state of the user to an adaptive system. It is argued that physiological computing has enormous potential to innovate human–computer interaction by extending the communication bandwidth to enable the development of ‘smart’ technology. This paper focuses on six fundamental issues for physiological computing systems through a review and synthesis of existing literature, these are (1) the complexity of the psychophysiological inference, (2) validating the psychophysiological inference, (3) representing the psychological state of the user, (4) designing explicit and implicit system interventions, (5) defining the biocybernetic loop that controls system adaptation, and (6) ethical implications. The paper concludes that physiological computing provides opportunities to innovate HCI but complex methodological/conceptual issues must be fully tackled during the research and development phase if this nascent technology is to achieve its potential.
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Mapping from physiological signals to psychological states is a limitation of physiological computing.
“One of the limitations of physiological computing is that of mapping from physiological signals to psychological states [12].”
From Learn Piano with BACh: An Adaptive Learning Interface that Adjusts Task Difficulty Based on Brain State (2016) · cites this paper as [12]
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Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
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“One of the limitations of physiological computing is that of mapping from physiological signals to psychological states [12].”
BackgroundA Narrative Review of Mindfulness-Based Interventions Using Virtual Reality
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Self-citationIntroducing Mental Workload Assessment for the Design of Virtual Reality Training Scenarios
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- Authors
- Fairclough, S. H.
- Affiliations
- Liverpool John Moores University (GB)
- Corresponding author
- Fairclough, Stephen H.
- Venue
- Interacting with Computers
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 21
- Issue
- 1-2
- Pages
- 133-145
- ISSN
- 0953-5438 (ISSN-L)
- OpenAlex
- W2009989063
- Cited by
- 608
- References
- 120
- Citations by year
- 2026: 66 · 2025: 35 · 2024: 26 · 2023: 18 · 2022: 28 · 2021: 36 · 2020: 36 · 2019: 30 · 2018: 35 · 2017: 36 · 2016: 44 · 2015: 40 · 2014: 49 · 2013: 24 · 2012: 27
- FWCI
- 35.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Interacting with Computers (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- physiological computing, psychophysiology, adaptive systems, human-computer interaction, smart technologies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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