Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/1808
Title: | A model of cognitive loads in massively multiplayer online role playing games | Authors: | Ang, Chee Siang Zaphiris, Panayiotis Mahmood, Shumaila |
Major Field of Science: | Natural Sciences | Keywords: | Games;MMORPG;Cognitive load | Issue Date: | Mar-2007 | Source: | Interacting with Computers, 2007, vol. 19, no. 2, pp.167-179. | Volume: | 19 | Issue: | 2 | Start page: | 167 | End page: | 179 | Journal: | Interacting with Computers | Abstract: | Being one of the most commercially successful entertainment software applications, massively multiplayer online role playing games (MMORPGs) continue to expand in term of the revenue they generate as well as the involvement of users who congregate in their virtual space and form communities around them to support each other. Unlike conventional offline computer games, or networked games with limited numbers of players, MMORPGs are not merely software applications as they are usually seen as a space with complicated dynamics of social interactions. Hence, it is believed that playing these games might cause cognitive overload problems among the players as they have to constantly interact with the game world as well as with other users. We conducted an exploratory study using qualitative methods to explore cognitive overloads in Maple Story, a typical MMORPG. Our results reveal that several types of cognitive overloads emerge during the game playing. While some of these overloads pose serious problems even to expert players, players seem to develop strategies to overcome them. It is found that some forms of cognitive load are actually desirable in order to make the game challenging. We have also created a set of recommendations that can help game developers handle cognitive load problems in MMORPGs. | URI: | https://hdl.handle.net/20.500.14279/1808 | ISSN: | 09535438 | DOI: | 10.1016/j.intcom.2006.08.006 | Rights: | © Elsevier | Type: | Article | Affiliation: | City University London | Affiliation : | City University London | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
105
checked on Nov 9, 2023
WEB OF SCIENCETM
Citations
75
Last Week
1
1
Last month
2
2
checked on Oct 13, 2023
Page view(s)
550
Last Week
0
0
Last month
1
1
checked on Nov 21, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License