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Cognitive load evaluation of handwriting using stroke-level features

Authors:

Kun Yu,

Julien Epps,

Fang ChenAuthors Info & Claims

IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces

Pages 423 - 426

https://doi.org/10.1145/1943403.1943481

Published: 13 February 2011 Publication History

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Abstract

This paper examines several writing features for the evaluation of cognitive load. Our analysis is focused on writing features within and between written strokes, including writing pressure, writing velocity, stroke length and inter-stroke movements. Based on a study of 20 subjects performing a sentence composition task, the reported findings reveal that writing pressure and writing velocity information are very good indicators of cognitive load. A stroke selection threshold was investigated for constraining the feature extraction to long strokes, which resulted in a small further improvement. Differing from most previous research investigating cognitive load during writing based on task performance criteria, this work proposes a new approach to cognitive load measurement using writing dynamics, with the potential to allow new or improve existing handwriting interfaces.

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Lin YYang GZe YZhang LXing BLiu XLyu R(2024)The Impact of Motion Features of Hand-drawn Lines on Emotional ExpressionComputers and Graphics10.1016/j.cag.2024.103897119:COnline publication date: 1-Apr-2024
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Bansal HMishra SSinghal M(2024)The Impact of Neurological Disorders on Handwriting: Implications for Forensic Document ExaminationWIREs Forensic Science10.1002/wfs2.1536Online publication date: 15-Oct-2024
https://doi.org/10.1002/wfs2.1536
Kosch TKarolus JZagermann JReiterer HSchmidt AWoźniak P(2023)A Survey on Measuring Cognitive Workload in Human-Computer InteractionACM Computing Surveys10.1145/358227255:13s(1-39)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3582272
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Index Terms

Cognitive load evaluation of handwriting using stroke-level features
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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Published In

IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces

February 2011

504 pages

ISBN:9781450304191

DOI:10.1145/1943403

General Chairs:
Pearl Pu
EPFL, Switzerland
,
Michael Pazzani
Rutgers University, USA
,
Program Chairs:
Elisabeth André
Augsburg University, Germany
,
Doug Riecken
CCLS Columbia University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 13 February 2011

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IUI '11: 16th International Conference on Intelligent User Interfaces

February 13 - 16, 2011

CA, Palo Alto, USA

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Lin YYang GZe YZhang LXing BLiu XLyu R(2024)The Impact of Motion Features of Hand-drawn Lines on Emotional ExpressionComputers and Graphics10.1016/j.cag.2024.103897119:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.cag.2024.103897
Bansal HMishra SSinghal M(2024)The Impact of Neurological Disorders on Handwriting: Implications for Forensic Document ExaminationWIREs Forensic Science10.1002/wfs2.1536Online publication date: 15-Oct-2024
https://doi.org/10.1002/wfs2.1536
Kosch TKarolus JZagermann JReiterer HSchmidt AWoźniak P(2023)A Survey on Measuring Cognitive Workload in Human-Computer InteractionACM Computing Surveys10.1145/358227255:13s(1-39)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3582272
Altmeyer KBarz MLauer LPeschel MSonntag DBrünken RMalone S(2023)Digital ink and differentiated subjective ratings for cognitive load measurement in middle childhoodBritish Journal of Educational Psychology10.1111/bjep.1259593:S2(368-385)Online publication date: 26-Mar-2023
https://doi.org/10.1111/bjep.12595
Fogel Y(2022)Cognitive Strategies: Moderating the Relationship between Executive Functions and Daily FunctioningInternational Journal of Environmental Research and Public Health10.3390/ijerph19241684519:24(16845)Online publication date: 15-Dec-2022
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Biometric recognition using online uppercase handwritten text

Style-preserving English handwriting synthesis

Stroke-Based Few-Shot Chinese Character Style Transfer

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