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Cited by 191

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Physiological indicators for the evaluation of co-located collaborative play

Mandryk, Regan L., Inkpen, Kori M.·2004·Proceedings of the 2004 ACM conference on Computer supported cooperative work

Abstract

Emerging technologies offer new ways of using entertainment technology to foster interactions between players and connect people. Evaluating collaborative entertainment technology is challenging because success is not defined in terms of productivity and performance, but in terms of enjoyment and interaction. Current subjective methods are not sufficiently robust in this context. This paper describes an experiment designed to test the efficacy of physiological measures as evaluators of collaborative entertainment technologies. We found evidence that there is a different physiological response in the body when playing against a computer versus playing against a friend. These physiological results are mirrored in the subjective reports provided by the participants. We provide an initial step towards using physiological responses to objectively evaluate a user’s experience with collaborative entertainment technology.

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Crossref · 10.1145/1031607.1031625

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Metadata

Authors
Mandryk, R. L., & Inkpen, K. M.
Venue
Proceedings of the 2004 ACM conference on Computer supported cooperative work
Publisher
ACM
Published
2004-11-06
Pages
102-111
OpenAlex
W2094136538
Cited by
191
References
3
FWCI
16.13
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Physiological indicators for the evaluation of co-located collaborative play. https://app.cochat.ai/papers/10.1145/1031607.1031625
The paper
Mandryk, R. L., & Inkpen, K. M. (2004). Physiological indicators for the evaluation of co-located collaborative play. Proceedings of the 2004 ACM conference on Computer supported cooperative work. https://doi.org/10.1145/1031607.1031625

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.