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Heuristic usability evaluation on games: a modular approach

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Abstract

Heuristic evaluation is the preferred method to assess usability in games when experts conduct this evaluation. Many heuristics guidelines have been proposed attending to specificities of games but they only focus on specific subsets of games or platforms. In fact, to date the most used guideline to evaluate games usability is still Nielsen’s proposal, which is focused on generic software. As a result, most evaluations do not cover important aspects in games such as mobility, multiplayer interactions, enjoyability and playability, etc. To promote the usage of new heuristics adapted to different game and platform aspects we propose a modular approach based on the classification of existing game heuristics using metadata and a tool, MUSE (Meta-heUristics uSability Evaluation tool) for games, which allows a rebuild of heuristic guidelines based on metadata selection in order to obtain a customized list for every real evaluation case. The usage of these new rebuilt heuristic guidelines allows an explicit attendance to a wide range of usability aspects in games and a better detection of usability issues. We preliminarily evaluate MUSE with an analysis of two different games, using both the Nielsen’s heuristics and the customized heuristic lists generated by our tool.

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Acknowledgements

This work has been partially supported by the EU project SmokeFreeBrain (PI055-15/E03) and by the Telefonica Chair “Intelligence in Networks” of the Universidad de Sevilla, Spain. The licences for the Grim Fandango Remastered copies used during the tests where kindly provided by the creator of the remastered version and owner of its Intellectual Property, Double Fine Productions.

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Correspondence to Rosa Yanez-Gomez.

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Yanez-Gomez, R., Font, J.L., Cascado-Caballero, D. et al. Heuristic usability evaluation on games: a modular approach. Multimed Tools Appl 78, 4937–4964 (2019). https://doi.org/10.1007/s11042-018-6593-1

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