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Cited by 265

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A continuous and objective evaluation of emotional experience with interactive play environments

Mandryk, Regan L., Atkins, M. Stella, Inkpen, Kori M.·2006·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

Researchers are using emerging technologies to develop novel play environments, while established computer and console game markets continue to grow rapidly. Even so, evaluating the success of interactive play environments is still an open research challenge. Both subjective and objective techniques fall short due to limited evaluative bandwidth; there remains no corollary in play environments to task performance with productivity systems. This paper presents a method of modeling user emotional state, based on a user's physiology, for users interacting with play technologies. Modeled emotions are powerful because they capture usability and playability through metrics relevant to ludic experience; account for user emotion; are quantitative and objective; and are represented continuously over a session. Furthermore, our modeled emotions show the same trends as reported emotions for fun, boredom, and excitement; however, the modeled emotions revealed differences between three play conditions, while the differences between the subjective reports failed to reach significance.

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Crossref · 10.1145/1124772.1124926

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Metadata

Authors
Mandryk, R. L., Atkins, M. S., & Inkpen, K. M.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2006-04-22
Pages
1027-1036
OpenAlex
W2134033472
Cited by
265
References
5
FWCI
31.68
Type
conference paper
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.