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Validation of a German Version of the Collision Anxiety Questionnaire

Published: 01 September 2024 Publication History

Abstract

The main quality of virtual reality (VR) is its high immersive potential. However, the resulting inability to perceive the real world surroundings can distract users from the application due to the fear of colliding with obstacles or other people. The Collision Anxiety Questionnaire (CAQ) by Ring et al. measures this fear of colliding and consists of ten items in three subscales: general collision anxiety, orientation, and interpersonal collision anxiety. In this paper, we present a validated German version of the CAQ, which showed a good model fit, including good reliability and internal and discriminant validity. By validating the questionnaire, we offer researchers a tool to further explore and evaluate the concept of collision anxiety, helping to uncover previously under-explored aspects of the user experience.

Supplemental Material

XLSX File - Validated German Collision Anxiety Questionnaire
Items and scales of the validated German Collision Anxiety Questionnaire as an Excel file. For further information on scoring, please refer to the paper. For a scoring guide, please see the original paper (Ring et al., 2024).
XLSX File
Questions and scale of the validated German CAQ

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MuC '24: Proceedings of Mensch und Computer 2024
September 2024
719 pages
ISBN:9798400709982
DOI:10.1145/3670653
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 01 September 2024

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  1. assessment
  2. collision anxiety
  3. discomfort
  4. questionnaire
  5. user experience
  6. virtual reality

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MuC '24
MuC '24: Mensch und Computer 2024
September 1 - 4, 2024
Karlsruhe, Germany

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