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A master's thesis from Aalborg University
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Augmented reality "Root of Guilt": Responses to Human vs. Robotic NPCs.

Author

Term

4. term

Publication year

2022

Submitted on

Pages

16

Abstract

Gysergenren har traditionelt fokuseret på menneskelignende trusler, mens robotter sjældent har spillet en hovedrolle. Dette studie undersøger, hvilken af to figurer—et menneske og en robot—deltagere oplever som mest skræmmende, baseret på både egne vurderinger og biomarkører. Vi udviklede en stedsspecifik oplevelse i udvidet virkelighed (AR) i escape room-stil til HoloLens 2, med afsæt i gyser-spillet Root of Guilt og genbrug af udvalgte assets. Oplevelsen er designet som et utrygt, men interaktivt og opslugende miljø, hvor deltagerne eksponeres for begge figurer. De psykologiske/biomarkørmålinger kræver yderligere databehandling, før der kan drages sikre konklusioner. Ud fra deltagernes egne vurderinger blev den menneskelige figur dog anset som mere skræmmende end robotten. Samtidig blev escape room-oplevelsen vurderet som både intens og underholdende, og deltagerne udtrykte interesse for mere indhold.

Horror stories have mostly focused on human-like threats, while robots have rarely taken center stage. This study examines which of two character models—a human or a robot—people find more intimidating, using both participants’ self-reports and biomarkers. We built a site-specific augmented reality (AR) escape-room experience for the HoloLens 2, inspired by the horror game Root of Guilt and reusing selected assets. The experience places participants in an unsettling, interactive environment and exposes them to both characters. The psychological/biomarker data require further processing before firm conclusions can be drawn. Based on self-reports, however, participants judged the human character to be more intimidating than the robot. Overall, the escape room was described as both tense and enjoyable, and participants expressed interest in more content.

[This summary has been rewritten with the help of AI based on the project's original abstract]