Abstract
Self-report assessment is important for research and game development, e.g., to gather data during play. Games can use dialogues with non-player characters (NPCs) to gather self-report data; however, players might respond diferently to dialogues than questionnaires. Without guidance on how in-game assessment afects player perceptions and experiences, designers and researchers are in danger of making decisions that harm data quantity and quality, and perceptions of privacy. We conducted a user study to understand self-report collection from NPC dialogues and traditional in-game overlay questionnaires. Data quality and player experience measures autonomy, curiosity, immersion, and mastery did not difer signifcantly, although NPC dialogues enhanced meaning. NPC dialogues supported an increase in data quantity through voluntary 5-point scales but not via open responses; however, they also increased the perceived intimacy of shared information despite comparable objective intimacy. NPC dialogues are useful to gather quantitative self-report data. They enable a meaningful play experience but could facilitate negative efects related to privacy.
Original language | English |
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Title of host publication | CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Making Waves, Combining Strengths |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450380966 |
DOIs | |
Publication status | Published - 6 May 2021 |
Externally published | Yes |
Event | 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 - Virtual, Online, Japan Duration: 8 May 2021 → 13 May 2021 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 |
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Country/Territory | Japan |
City | Virtual, Online |
Period | 8/05/21 → 13/05/21 |
Bibliographical note
Funding Information:We thank NSERC and SWaGUR for funding, members of the Interaction Lab for feedback, and our participants.
Publisher Copyright:
© 2021 ACM.
Funding
We thank NSERC and SWaGUR for funding, members of the Interaction Lab for feedback, and our participants.
Keywords
- Games user research
- Gur
- Intimacy
- Non-player character
- Npc
- Player experience
- Questionnaires
- Self-reports
- Surveys