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Erschienen in: Universal Access in the Information Society 2/2015

01.06.2015 | Long paper

Integrating the strengths of cognitive emotion models with traditional HCI analysis tools

verfasst von: Mark Springett, Effie Lai-Chong Law, Mark Coulson

Erschienen in: Universal Access in the Information Society | Ausgabe 2/2015

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Abstract

This paper reports an attempt to integrate key concepts from cognitive models of emotion to cognitive models of interaction established in HCI literature. The aim is to transfer the strengths of interaction models to analysis of affect-critical systems in games, e-commerce and education, thereby increasing their usefulness in these systems where affect is increasingly recognised as a key success factor. Concepts from Scherer’s appraisal model and stimulation evaluation checks, along with a framework of emotion contexts proposed by Coulson (An everything but framework for modelling emotion. In proceeding of AAAI spring symposium on architectures for emotion, 2004), are integrated into the cycle of display-based action proposed by Norman (The design of everyday things. Basic Books, New York, 1988). Norman’s action cycle has commonly been applied as an interaction analysis tool in the field of HCI. In the wake of the recent shift of emphasis to user experience, the cognition-based action cycle is deemed inadequate to explicate affective experiences, such as happiness, joy and surprise. Models based on appraisal theories, focusing on cognitive accounts of emotion, are more relevant to understanding the causes and effects of feelings arising from interacting with digital artefacts. The paper explores the compatibility between these two genres of model, and future development of integrated analysis tools.

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Metadaten
Titel
Integrating the strengths of cognitive emotion models with traditional HCI analysis tools
verfasst von
Mark Springett
Effie Lai-Chong Law
Mark Coulson
Publikationsdatum
01.06.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Universal Access in the Information Society / Ausgabe 2/2015
Print ISSN: 1615-5289
Elektronische ISSN: 1615-5297
DOI
https://doi.org/10.1007/s10209-013-0335-y

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