Accuracy measures for evaluating computer pointing devices
Abstract
In view of the difficulties in evaluating computer pointing devices across different tasks within dynamic and complex systems, new performance measures are needed. This paper proposes seven new accuracy measures to elicit (sometimes subtle) differences among devices in precision pointing tasks. The measures are target re-entry, task axis crossing, movement direction change, orthogonal direction change, movement variability, movement error, and movement offset. Unlike movement time, error rate, and throughput, which are based on a single measurement per trial, the new measures capture aspects of movement behaviour during a trial. The theoretical basis and computational techniques for the measures are described, with examples given. An evaluation with four pointing devices was conducted to validate the measures. A causal relationship to pointing device efficiency (viz. throughput) was found, as was an ability to discriminate among devices in situations where differences did not otherwise appear. Implications for pointing device research are discussed.
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References 16 · Cited by 448
- Authors
- MacKenzie, I. S., Kauppinen, T., & Silfverberg, M.
- Affiliations
- York University (CA)
- Nokia (Finland) (FI)
- ORCID
- MacKenzie, I. Scott
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2001-03
- Pages
- 9-16
- OpenAlex
- W2170810427
- Cited by
- 448
- References
- 16
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 14 · 2023: 10 · 2022: 13 · 2021: 15 · 2020: 16 · 2019: 17 · 2018: 14 · 2017: 22 · 2016: 10 · 2015: 28 · 2014: 31 · 2013: 25 · 2012: 21
- FWCI
- 14.19
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- movement variability, motion error, throughput
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