Skip navigation

Efficient in-game communication in collaborative online multiplayer Games

Efficient in-game communication in collaborative online multiplayer Games

Spyridonis, Fotios ORCID: 0000-0003-4253-365X, Daylamani-Zad, Damon and O'Brien, Margarita P. (2018) Efficient in-game communication in collaborative online multiplayer Games. In: 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). IEEE, pp. 1-4. ISBN 978-1-5386-7123-8 ISSN 2474-0470 (Print), 2474-0489 (Online) (doi:https://doi.org/10.1109/VS-Games.2018.8493420)

[img]
Preview
PDF (Author Accepted Manuscript)
22040 DAYLAMANI-ZAD_Efficient_In-Game_Communication_2018.pdf - Accepted Version

Download (646kB) | Preview

Abstract

The ability to communicate during online gaming is one that has become fundamental. Players could use voice, textual chat, pre-determined commands or a combination of these methods in order to command a team, follow an appointed leader or simply to socialise with friends. There is an abundance of reasons why a person will choose to utilise the conversational frameworks available, however, when considering a game where players must work together in order to reach a common goal, it is up for interpretation to determine which method works most efficiently. The aim of this work is to address this need through a game that utilises these three methods of communication in order to determine their efficiency. A combination of qualitative and quantitative methods was employed to formulate a well-rounded conclusion. Results indicated that a combination of voice and predetermined commands is the most efficient method of in-game communication in online, task-oriented games.

Item Type: Conference Proceedings
Title of Proceedings: 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)
Additional Information: The conference was held at Würzburg, Germany, 5-7 September 2018.
Uncontrolled Keywords: Games, Task analysis, Instruments, Cats, Prototypes, Collaboration, Information systems
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 13:06
URI: http://gala.gre.ac.uk/id/eprint/22040

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics