From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control Assessment MHCI012

User interaction with digital systems requires Fine Motor Control (FMC), especially if the interfaces are complex or require high fidelity and fine-grained interactions. Despite its importance, Fine Motor Control is often overlooked in interactive system design, partly because of its complex assessment. Measuring changes in fine motor abilities due to prolonged use or fatigue currently requires repeated manual testing. This paper analyzes the concept of using the digital mobile devices’ input behavior to assess the user’s Fine Motor Control. For this, we show that Fine Motor Control can be assessed for touch and stylus-based interaction with a digital mobile system. We conducted a user study, where participants performed a Nine Hole Peg Test and a predefined Copy Drawing Test before and after exercises that affect fine motor skills. Based on this data, we investigated how metrics such as pressure, velocity, and entropy for touch and stylus input can be used to predict Fine Motor Control.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-09-09
DOI
https://doi.org/10.1145/3743714
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
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article

From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control Assessment MHCI012

Florian Müller, Thomas Kosch, Max Mühlhäuser, Sebastian Günther et al.
Proceedings of the ACM on Human-Computer Interaction
Motor Control and Adaptation
article

From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control Assessment MHCI012

Florian Müller, Thomas Kosch, Max Mühlhäuser, Sebastian Günther, Martin Schmitz, Dominik Schön
article en

Abstract

User interaction with digital systems requires Fine Motor Control (FMC), especially if the interfaces are complex or require high fidelity and fine-grained interactions. Despite its importance, Fine Motor Control is often overlooked in interactive system design, partly because of its complex assessment. Measuring changes in fine motor abilities due to prolonged use or fatigue currently requires repeated manual testing. This paper analyzes the concept of using the digital mobile devices’ input behavior to assess the user’s Fine Motor Control. For this, we show that Fine Motor Control can be assessed for touch and stylus-based interaction with a digital mobile system. We conducted a user study, where participants performed a Nine Hole Peg Test and a predefined Copy Drawing Test before and after exercises that affect fine motor skills. Based on this data, we investigated how metrics such as pressure, velocity, and entropy for touch and stylus input can be used to predict Fine Motor Control.

Proceedings of the ACM on Human-Computer InteractionVol. 9(5)
Software Engineering Institute (US), Urban Institute (US), Technische Universität Darmstadt (DE), Software (Germany) (DE), Institut für Hygiene und Umwelt (DE), Saarland University (DE)
Openalex Percentile: Top 76%
Motor Control and Adaptation
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From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control Assessment MHCI012 — Florian Müller, Thomas Kosch, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS