Input device matters for measures of behaviour in online experiments

Studies of perception, cognition, and action increasingly rely on measures derived from the movements of a cursor to investigate how psychological processes unfold over time. This method is one of the most sensitive measures available for remote experiments conducted online, but experimenters have little control over the input device used by participants, typically a mouse or trackpad. These two devices require biomechanically distinct movements to operate, so measures extracted from cursor tracking data may differ between input devices. We investigated this in two online experiments requiring participants to execute goal-directed movements. We identify several measures that are critically influenced by the choice of input device using a kinematic decomposition of the recorded cursor trajectories. Those using a trackpad were slower to acquire targets, mainly attributable to greater times required to initiate movements and click on targets, despite showing greater peak speeds and lower variability in their movements. We believe there is a substantial risk that behavioural disparities caused by the input device used could be misidentified as differences in psychological processes. We urge researchers to collect data on input devices in online experiments and carefully consider and account for the effect they may have on their experimental data.

Authors

Institutions

Publication Details

Journal
Psychological Research
Published
2024-11-28
DOI
https://doi.org/10.1007/s00426-024-02065-1
Citations
4
Primary Topic
Neural and Behavioral Psychology Studies
Type
article
Field-Weighted Citation Impact
1.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Input device matters for measures of behaviour in online experiments

J. Ryan Morehead, Matthew Warburton, Carlo Campagnoli, Mark A Mon-Williams et al.
4 citations
Psychological Research
Neural and Behavioral Psychology Studies
1.37
article

Input device matters for measures of behaviour in online experiments

J. Ryan Morehead, Matthew Warburton, Carlo Campagnoli, Mark A Mon-Williams, Faisal Mushtaq
article en
4 citations

Abstract

Studies of perception, cognition, and action increasingly rely on measures derived from the movements of a cursor to investigate how psychological processes unfold over time. This method is one of the most sensitive measures available for remote experiments conducted online, but experimenters have little control over the input device used by participants, typically a mouse or trackpad. These two devices require biomechanically distinct movements to operate, so measures extracted from cursor tracking data may differ between input devices. We investigated this in two online experiments requiring participants to execute goal-directed movements. We identify several measures that are critically influenced by the choice of input device using a kinematic decomposition of the recorded cursor trajectories. Those using a trackpad were slower to acquire targets, mainly attributable to greater times required to initiate movements and click on targets, despite showing greater peak speeds and lower variability in their movements. We believe there is a substantial risk that behavioural disparities caused by the input device used could be misidentified as differences in psychological processes. We urge researchers to collect data on input devices in online experiments and carefully consider and account for the effect they may have on their experimental data.

Psychological ResearchVol. 89(1)
National Health Service (GB), University of Leeds (GB), University of South-Eastern Norway (NO), NIHR Leeds Musculoskeletal Biomedical Research Unit (GB)
National Institute for Health and Care Research, Department of Health and Social Care, Leeds Biomedical Research Centre
Quality Education
Openalex Percentile: Top 19%
Neural and Behavioral Psychology Studies
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.