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Examining Design Choices of Questionnaires in VR User Studies

Lookup NU author(s): Dr Jan SmeddinckORCiD

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Association for Computing Machinery, 2020.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

Questionnaires are among the most common research tools in virtual reality (VR) user studies. Transitioning from virtuality to reality for giving self-reports on VR experiences can lead to systematic biases. VR allows to embed questionnaires into the virtual environment which may ease participation and avoid biases. To provide a cohesive picture of methods and design choices for questionnaires in VR (inVRQ), we discuss 15 inVRQ studies from the literature and present a survey with 67 VR experts from academia and industry. Based on the outcomes, we conducted two user studies in which we tested different presentation and interaction methods of inVRQs and evaluated the usability and practicality of our design. We observed comparable completion times between inVRQs and questionnaires outside VR (nonVRQs) with higher enjoyment but lower usability for \inVRQs. These findings advocate the application of inVRQs and provide an overview of methods and considerations that lay the groundwork for inVRQ design.


Publication metadata

Author(s): Alexandrovsky D, Putze S, Bonfert M, Höffner S, Michelmann P, Wenig D, Malaka R, Smeddinck JD

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: CHI Conference on Human Factors in Computing Systems (CHI '20)

Year of Conference: 2020

Online publication date: 25/04/2020

Acceptance date: 20/12/2019

Date deposited: 29/04/2020

Publisher: Association for Computing Machinery

URL: https://doi.org/10.1145/3313831.3376260

DOI: 10.1145/3313831.3376260

Library holdings: Search Newcastle University Library for this item

Series Title: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

ISBN: 9781450367080


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