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Reducing extrinsic burdens on players of digital games: An integrated framework

Reducing extrinsic burdens on players of digital games: An integrated framework

Agius, Harry ORCID: 0000-0002-8818-2683 and Daylamani-Zad, Damon ORCID: 0000-0001-7849-458X (2019) Reducing extrinsic burdens on players of digital games: An integrated framework. Media and Communication, 7 (4). pp. 247-259. ISSN 2183-2439 (Online) (doi:

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Increasingly complex gameplay and gameworlds are placing greater demands on players, while grander approaches to help them cope, such as heads-up displays (HUDs), maps, notifications, and real-time statistics, may often create even more layers of complexity, and thus burdens, further detaching players from core gameplay. In this article, we distinguish between ‘intrinsic’ (fundamental to gameplay) and ‘extrinsic’ (peripheral or extraneous to gameplay) game elements, where the latter may be seen to increase burdens on players unnecessarily, subsequently affecting engagement. We propose a framework, comprising core, interaction, and interface layers, that reveals how extrinsicality may be minimised to better facilitate intrinsic gameplay and engagement.

Item Type: Article
Additional Information: © Harry Agius, Damon Daylamani-Zad. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 license (, which permits any use, distribution, and reproduction of the work without further permission provided the original author(s) and source are credited.
Uncontrolled Keywords: digital games; flow; framework; gameplay; immersion; involvement; player engagement; presence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 26 Nov 2020 22:34
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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