Limitations of Emotion Recognition in Software User Experience Evaluation Context
Agnieszka Landowska, Jakub Miler
DOI: http://dx.doi.org/10.15439/2016F535
Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 1631–1640 (2016)
Abstract. This paper concerns how affective-behavioral-cognitive approach applies in software user experience evaluation context. Although it may seem, that affect recognition solutions are accurate in determining user experience, there are several challenges in practical settings. This paper aims at exploration of the limitations of automatic affect recognition applied in usability context as well as proposing set of criteria to choose input channels for affect recognition. The results are revealed through a semi-experiment based on case study of educational game. As a result, a number of concerns were identified, providing a list of pros and cons for affective computing methods applied in usability testing context. The lessons learned might be interesting for both researchers that develop emotion recognition algorithms and for practitioners, who apply them in diverse contexts
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