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To Save or To Sacrifice?: Understanding Meaningful Choices in Games

Published:15 October 2017Publication History

ABSTRACT

Playing digital games can confront the player with choices that are emotional, morally ambivalent and highly personally meaningful. Past research suggests that meaningful choices have the potential to positively affect prosocial behavior. Up to now however, it is unclear what specific characteristics make in-game choices meaningful. The goal of this work-in-progress was therefore to shed light on this topic. Coding qualitative answers to a preliminary online survey found that meaningful choices were often characterized by a combination of different options from which the player had to choose one: moral, strategic or emotional. Being able to choose between these types of options and knowing that these choices would have consequences lead to choices that were experienced as meaningful. Crucially, almost all choices reported also contained a social component. Steps for future research based on these findings are discussed.

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      • Published in

        cover image ACM Conferences
        CHI PLAY '17 Extended Abstracts: Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play
        October 2017
        700 pages
        ISBN:9781450351119
        DOI:10.1145/3130859

        Copyright © 2017 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 October 2017

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        Acceptance Rates

        CHI PLAY '17 Extended Abstracts Paper Acceptance Rate46of178submissions,26%Overall Acceptance Rate421of1,386submissions,30%

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