Skip navigation

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:10.1016/j.dss.2016.02.011)

[img]
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 / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 05 Apr 2018 12:54
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: GREAT a
URI: http://gala.gre.ac.uk/id/eprint/14962

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics