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

Springett, Mark ORCID logoORCID: https://orcid.org/0000-0003-3609-8241, Law, Effie Lai-Chong and Coulson, Mark (2015) Integrating the strengths of cognitive emotion models with traditional HCI analysis tools. Universal Access in the Information Society, 14 (2) . pp. 203-214. ISSN 1615-5289 [Article] (doi:10.1007/s10209-013-0335-y)

[img]
Preview
PDF - Final accepted version (with author's formatting)
Download (694kB) | Preview

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.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 15214
Notes on copyright: This is a post-peer-review, pre-copyedit version of an article published in Universal Access in the Information Society. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10209-013-0335-y
Useful Links:
Depositing User: Mark Coulson
Date Deposited: 23 Apr 2015 12:32
Last Modified: 29 Nov 2022 22:46
URI: https://eprints.mdx.ac.uk/id/eprint/15214

Actions (login required)

View Item View Item

Statistics

Activity Overview
6 month trend
273Downloads
6 month trend
497Hits

Additional statistics are available via IRStats2.