Does Representing Pen Pressure Improve Handwritten Calculation Accuracy?

With the digitization of education, opportunities for handwritten input using tablets and other digital devices have increased. However, the impact of digital handwriting on problem-solving performance and its contributing factors remains unclear. This study focuses on pen pressure, a fundamental element of handwriting, and investigates how pressure sensitivity affects arithmetic problem-solving. We hypothesized that allowing users to vary stroke darkness through pen pressure would enhance accuracy. To test this, we conducted an experiment comparing a pressure-sensitive condition, where pen pressure affected stroke darkness, and a non-pressure-sensitive condition, where stroke darkness was uniform. University students solved arithmetic problems involving addition, subtraction, multiplication, and division. The results showed no significant difference in accuracy for addition, subtraction, or multiplication, but significantly higher accuracy in division problems under the pressure-sensitive condition. Pen pressure analysis also revealed differences in value distribution between conditions. Furthermore, error analysis suggested that the inability to modulate stroke darkness might lead to misinterpretation of auxiliary digits or other handwritten calculation marks during complex tasks. These findings indicate that pen pressure sensitivity may support more effective problem-solving in arithmetic tasks that involve complex, multi-step reasoning, by improving the visual clarity of handwritten information.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.403
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does Representing Pen Pressure Improve Handwritten Calculation Accuracy?

Akiyuki Kake, Yuto Sekiguchi, Satoshi Nakamura, S. Kobayashi et al.
Procedia Computer Science
Cognitive and developmental aspects of mathematical skills
article

Does Representing Pen Pressure Improve Handwritten Calculation Accuracy?

Akiyuki Kake, Yuto Sekiguchi, Satoshi Nakamura, S. Kobayashi, Riho Ueki
article en

Abstract

With the digitization of education, opportunities for handwritten input using tablets and other digital devices have increased. However, the impact of digital handwriting on problem-solving performance and its contributing factors remains unclear. This study focuses on pen pressure, a fundamental element of handwriting, and investigates how pressure sensitivity affects arithmetic problem-solving. We hypothesized that allowing users to vary stroke darkness through pen pressure would enhance accuracy. To test this, we conducted an experiment comparing a pressure-sensitive condition, where pen pressure affected stroke darkness, and a non-pressure-sensitive condition, where stroke darkness was uniform. University students solved arithmetic problems involving addition, subtraction, multiplication, and division. The results showed no significant difference in accuracy for addition, subtraction, or multiplication, but significantly higher accuracy in division problems under the pressure-sensitive condition. Pen pressure analysis also revealed differences in value distribution between conditions. Furthermore, error analysis suggested that the inability to modulate stroke darkness might lead to misinterpretation of auxiliary digits or other handwritten calculation marks during complex tasks. These findings indicate that pen pressure sensitivity may support more effective problem-solving in arithmetic tasks that involve complex, multi-step reasoning, by improving the visual clarity of handwritten information.

Procedia Computer ScienceVol. 270
Wacom (Japan) (JP), Meiji University (JP)
Openalex Percentile: Top 69%
Cognitive and developmental aspects of mathematical skills
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.