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:10.1016/j.dss.2016.02.011)

Preview

PDF (Author's Accepted Manuscript) 14962_Daylamani Zad_A framework for collabortive decision (AAM) 2016.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview

Abstract

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
URI:	http://gala.gre.ac.uk/id/eprint/14962

Actions (login required)

View Item

Downloads