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Choosing to Help Monsters: A Mixed-Method Examination of Meaningful Choices in Narrative-Rich Games and Interactive Narratives

Published: 21 April 2018 Publication History

Abstract

The potential of narrative-rich games to impact emotions, attitudes, and behavior brings with it exciting opportunities and implications within both entertainment and serious game contexts. However, effects are not always consistent, potentially due to game choices not always being perceived as meaningful by the players. To examine these perceptual variations, we used a mixed-method approach. A qualitative study first investigated meaningful game choices from the players' perspectives. Building on the themes developed in this first study, a quantitative study experimentally examined the effect of meaningful game choices on player experiences of appreciation, enjoyment, and narrative engagement. Results highlight the importance of moral, social, and consequential characteristics in creating meaningful game choices, which positively affected appreciation. Meaningfulness of game choices may therefore be crucial for narrative-rich games and interactive narratives to impact players.

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  1. Choosing to Help Monsters: A Mixed-Method Examination of Meaningful Choices in Narrative-Rich Games and Interactive Narratives

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      cover image ACM Conferences
      CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      8489 pages
      ISBN:9781450356206
      DOI:10.1145/3173574
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      Published: 21 April 2018

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      Author Tags

      1. appreciation
      2. games narrative
      3. meaningful choice
      4. player experience

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      • (2024)Press A or Wave: User Expectations for NPC Interactions and Nonverbal Behaviour in Virtual RealityProceedings of the ACM on Human-Computer Interaction10.1145/36770988:CHI PLAY(1-25)Online publication date: 15-Oct-2024
      • (2024)Lies, Deceit, and Hallucinations: Player Perception and Expectations Regarding Trust and Deception in GamesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642253(1-15)Online publication date: 11-May-2024
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