Towards Low-burden Responses to Open Questions in VR
Dmitry Alexandrovsky, Susanne Putze, Alexander Sch\"ulke, Rainer, Malaka

TL;DR
This paper explores methods to reduce the burden of open-question responses in VR user studies by comparing three text-entry techniques and proposing future low-effort qualitative response methods.
Contribution
It provides a comparative analysis of three VR text-entry methods for open questions and suggests future directions for low-burden qualitative responses in VR research.
Findings
Compared three VR text-entry methods for open questions
Identified challenges and opportunities for low-burden responses
Outlined future research directions for qualitative VR responses
Abstract
Subjective self-reports in VR user studies is a burdening and often tedious task for the participants. To minimize the disruption with the ongoing experience VR research has started to administer the surveying directly inside the virtual environments. However, due to the tedious nature of text-entry in VR, most VR surveying tools focus on closed questions with predetermined responses, while open questions with free-text responses remain unexplored. This neglects a crucial part of UX research. To provide guidance on suitable self-reporting methods for open questions in VR user studies, this position paper presents a comparative study with three text-entry methods in VR and outlines future directions towards low-burden qualitative responding.
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Augmented Reality Applications · Innovative Human-Technology Interaction
