A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison

Lee, Joon Seok; Cho, Hanggjun; McKay, Bob

doi:10.1109/thms.2014.2380641

Cited by 5 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It also increases the chances to detect differences that can be attributed * e-mail: gregoire.richard@inria.fr to differences between the groups instead of differences between the conditions, when the groups are too small and not homogeneous (e.g. typing speed when comparing different typing techniques [50]). To reduce the impact of individual differences, between-subjects designs comparatively require larger groups compared to withinsubjects designs (m times larger if m is the number of levels of an independent variable).…”

Section: Introductionmentioning

confidence: 99%

Within or Between? Comparing Experimental Designs for Virtual Embodiment Studies

Richard

Pietrzak

Argelaguet

et al. 2022

2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

View full text Add to dashboard Cite

When designing virtual embodiment studies, one of the key choices is the nature of the experimental factors, either between-subjects or within-subjects. However, it is well known that each design has advantages and disadvantages in terms of statistical power, sample size requirements and confounding factors. This paper reports a withinsubjects experiment with 92 participants comparing self-reported embodiment scores under a visuomotor task with two conditions: synchronous motions and asynchronous motions with a latency of 300 ms. With the gathered data, using a Monte-Carlo method, we created numerous simulations of within-and between-subjects experiments by selecting subsets of the data. In particular, we explored the impact of the number of participants on the replicability of the results from the 92 within-subjects experiment. For the between-subjects simulations, only the first condition for each user was considered to create the simulations. The results showed that while the replicability of the results increased as the number of participants increased for the within-subjects simulations, no matter the number of participants, between-subjects simulations were not able to replicate the initial results. We discuss the potential reasons that could have led to this surprising result and potential methodological practices to mitigate them.

show abstract

Section: Introductionmentioning

confidence: 99%