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My Little Robot: User Preferences in Game Agent Customization

Talkat CHI PLAY 2020 · 2020-11-02..11-04· [ai-assisted-development, game-development]
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Two studies test how many customization options users actually want: a pilot Androidify web app lab study (N=15) with eye tracking shows top and bottom clothing attract the most attention, and a large online experiment builds a custom app on Mechanical Turk (N=343) with 3x3 attribute/choice conditions. Participants prefer at least eight attributes, show no satisfaction drop even at 24 choices per attribute, women report higher enjoyment, and users prefer 3D agent style, so no choice overload appears.

AI-written summary · about

  1. 0:00Start
  2. 0:12Background: Agents
  3. 0:39Background: Sense of Relatedness
  4. 0:50Background: Customization
  5. 1:21Study 1 (Pilot): In-person Lab Study (N=15)
  6. 1:59Study 1: Findings
  7. 2:12Study 2: Online Study (N=343)
  8. 2:33Customization Application
  9. 3:30Importance of the Attributes
  10. 3:42Enjoyment & Style Preference
  11. 3:54Design implications
  12. 4:26Limitations & Conclusion
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