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Paper Abstract and Keywords
Presentation 2026-03-19 16:30
Implementation of a Stroke-Tagging Function for Automated Scoring of Drawing Tests Using EVIDENT2.0
Keisuke Yoshida (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech), Atsushi Sato (Yoshida Hospital), Naoki Kodama (Niigata Univ. of Health and Welfare), Masahide Nakamura (Kobe Univ.) KBSE2025-59
Abstract (in Japanese) (See Japanese page) 
(in English) Japan’s super-aging society has intensified the shortage of healthcare workers, increasing the demand for efficient and reliable screening for cognitive decline. Drawing-based neuropsychological tests are widely used to assess cognitive function; however, conventional scoring typically relies on the final drawing only, and the rich information embedded in the drawing process (e.g., stroke order and pauses) has not been fully leveraged. We have developed EVIDENT2.0, a web-based system that records and visualizes detailed drawing-process data. Yet, two issues hinder the practical use of such process data for automated scoring: (1) the correspondence between individual strokes and semantic drawing components (e.g., outer circle, hands, and numerals) is not explicitly represented, and (2) there is insufficient support for clinicians to validate and correct assigned tags, which may degrade dataset quality. In this study, we implement a stroke-level tagging function that enables clinicians to assign meaningful tags to selected strokes, and we further provide a review interface in EVIDENT-ADMIN that visualizes tagged drawings by separating strokes according to tags. These functions facilitate component-wise feature extraction and evidence-based explanations of scoring outcomes, while enabling the construction of a high-quality tagged dataset for future machine-learning-based automated scoring of drawing tests.
Keyword (in Japanese) (See Japanese page) 
(in English) Neuropsychological test / Drawing test / Clock drawing test / Drawing process / Web service / DX / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 423, KBSE2025-59, pp. 60-65, March 2026.
Paper # KBSE2025-59 
Date of Issue 2026-03-12 (KBSE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF KBSE2025-59

Conference Information
Committee KBSE  
Conference Date 2026-03-19 - 2026-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Prefectural General Welfare Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2026-03-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Implementation of a Stroke-Tagging Function for Automated Scoring of Drawing Tests Using EVIDENT2.0 
Sub Title (in English)  
Keyword(1) Neuropsychological test  
Keyword(2) Drawing test  
Keyword(3) Clock drawing test  
Keyword(4) Drawing process  
Keyword(5) Web service  
Keyword(6) DX  
Keyword(7)  
Keyword(8)  
1st Author's Name Keisuke Yoshida  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Sachio Saiki  
2nd Author's Affiliation Kochi University of Technology (Kochi Univ. of Tech)
3rd Author's Name Atsushi Sato  
3rd Author's Affiliation Yoshida Hospital (Yoshida Hospital)
4th Author's Name Naoki Kodama  
4th Author's Affiliation Niigata University of Health and Welfare (Niigata Univ. of Health and Welfare)
5th Author's Name Masahide Nakamura  
5th Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2026-03-19 16:30:00 
Presentation Time 30 minutes 
Registration for KBSE 
Paper # KBSE2025-59 
Volume (vol) vol.125 
Number (no) no.423 
Page pp.60-65 
#Pages 6 
Date of Issue 2026-03-12 (KBSE) 

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