Carry-Over Effects Ruin Your (Cybersickness) Experiments and Balancing Conditions Is Not a Solution

This position paper discusses the complexities and challenges related to order and carryover effects in within-subjects designs. Through a detailed examination of case studies involving the measurement of cybersickness, the paper highlights the importance of careful experiment design, including coun...

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Bibliographic Details
Published in2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) pp. 1 - 5
Main Authors Zielasko, Daniel, Rehling, Ben, Clement, David, Domes, Gregor
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.03.2024
Subjects
Cybersickness
Data analysis
Documentation
Human computer interaction
Human-centered concepts [Human computer interaction (HCI)]
Interaction paradigms-Virtual reality
Navigation
Protocols
Three-dimensional displays
Online AccessGet full text
DOI10.1109/VRW62533.2024.00007

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Summary:This position paper discusses the complexities and challenges related to order and carryover effects in within-subjects designs. Through a detailed examination of case studies involving the measurement of cybersickness, the paper highlights the importance of careful experiment design, including counterbalancing condition sequences and its limitations when mitigating potential biases. It also emphasizes the need for larger sample sizes and the adoption of strict protocols and common reporting standards to enhance the reliability of research findings. The paper ultimately serves as a guide for researchers in HCI and related fields, offering insights and practical solutions for navigating the intricacies of experimental design and data analysis especially when facing carry-over effects with largely unknown characteristics.
DOI:10.1109/VRW62533.2024.00007