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Lu-Lu: A framework for collaborative decision making games

Lu-Lu: A framework for collaborative decision making games

Daylamani-Zad, Damon, Angelides, Marios C. and Agius, Harry (2016) Lu-Lu: A framework for collaborative decision making games. Decision Support Systems, 85. pp. 49-61. ISSN 0167-9236 (doi:

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This paper proposes Lu-Lu as an add-on architecture to open MMOGs and social network games, which has been developed to utilise a key set of ingredients that underline collaborative decision making games as reported within the research literature: personalisation, team matching, non-optimal decision making, leading, decisiveness index, scoring, levelling, and multiple stages. The implementation of Lu-Lu is demonstrated as an add-on to the classic supply chain beer game, including customisation of Lu-Lu to facilitate information exchange through the Facebook games platform, e.g., Graph API and Scores API. Performance assessment of Lu-Lu using Behaviour-Driven Development suggests a successful integration of all key ingredients within Lu-Lu's architecture, yielding autonomous behaviour that improves both player enjoyment and decision making.

Item Type: Article
Uncontrolled Keywords: Collaborative, Decision making, Game, Profiling, Personalisation, MPEG-7
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 04 Mar 2022 13:07

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