Biometric Storyboards: Visualising Game User Research Data

by Pejman Mirza-Babaei, Lennart E Nacke, Geraldine Fitzpatrick, Gareth White, Graham McAllister, Nick Collins
Abstract:
Player experience is difficult to evaluate and report, especially using quantitative methodologies in addition to observations and interviews. One step towards tying quantitative physiological measures of player arousal to player experience reports are Biometric Storyboards (BioSt). They can visualise meaningful relationships between a player’s physiological changes and game events. This paper evaluates the usefulness of BioSt to the game industry. We presented the Biometric Storyboards technique to six game developers and interviewed them about the advantages and disadvantages of this technique.
Reference:
Biometric Storyboards: Visualising Game User Research Data (Pejman Mirza-Babaei, Lennart E Nacke, Geraldine Fitzpatrick, Gareth White, Graham McAllister, Nick Collins), In Proceedings of CHI EA 2012, ACM, 2012.
Bibtex Entry:
@inproceedings{mirza2012biometric,
abstract = {Player experience is difficult to evaluate and report, especially using quantitative methodologies in addition to observations and interviews. One step towards tying quantitative physiological measures of player arousal to player experience reports are Biometric Storyboards (BioSt). They can visualise meaningful relationships between a player's physiological changes and game events. This paper evaluates the usefulness of BioSt to the game industry. We presented the Biometric Storyboards technique to six game developers and interviewed them about the advantages and disadvantages of this technique.},
address = {Austin, TX, United States},
author = {Mirza-Babaei, Pejman and Nacke, Lennart E and Fitzpatrick, Geraldine and White, Gareth and McAllister, Graham and Collins, Nick},
booktitle = {Proceedings of CHI EA 2012},
doi = {10.1145/2212776.2223795},
organization = {ACM},
pages = {2315--2320},
publisher = {ACM},
title = {{Biometric Storyboards: Visualising Game User Research Data}},
url = {http://dx.doi.org/10.1145/2212776.2223795},
year = {2012}
}

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