Gathering self-report data in games through npc dialogues: Efects on data qality, data qantity, player experience, and information intimacy

Julian Frommel, Cody Phillips, Regan L. Mandryk

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationMaking Waves, Combining Strengths
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450380966
DOIs
Publication statusPublished - 6 May 2021
Externally publishedYes
Event2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 - Virtual, Online, Japan
Duration: 8 May 202113 May 2021

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021
Country/TerritoryJapan
CityVirtual, Online
Period8/05/2113/05/21

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

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