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| Presentation | 2021-09-10 13:15 Predicting Code Reading Test Answers by Using Eye Movement Features YUE YAN, Minoru Nakayama (Tokyo Tech)  ET2021-11 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Code reading comprehension progress has been shown to distribute in the eye movement data, which makes predict the code reading test answer correctness through eye movements comes to possible.This paper proposed a model based on the Residual Network and Transformer model to predict code reading answers with cluster data preprocessing. The model as an end-to end model which it can extract features from the raw data and make predictions and the model is evaluated on Eye Movement in Programing dataset,207 participants of different programing levels read two different JAVA codes then choose one of the four answers and recorded eye movement data. The experiment results shows that our approach improves the average accuracy from 65% to 76% with this data preprocessing method and 73% to 76 % with this model structure on four data sets. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Code reading / Test answer prediction / Eye features / Deep neural network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 174, ET2021-11, pp. 17-22, Sept. 2021. | |
| Paper # | ET2021-11 | |
| Date of Issue | 2021-09-03 (ET) | |
| 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 | ET2021-11 |
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| Conference Information | |
| Committee | ET |
| Conference Date | 2021-09-10 - 2021-09-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Data Science and Information Education, etc. |
| Paper Information | |
| Registration To | ET |
| Conference Code | 2021-09-ET |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting Code Reading Test Answers by Using Eye Movement Features |
| Sub Title (in English) | |
| Keyword(1) | Code reading |
| Keyword(2) | Test answer prediction |
| Keyword(3) | Eye features |
| Keyword(4) | Deep neural network |
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| 1st Author's Name | YUE YAN |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name | Minoru Nakayama |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
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| Speaker | Author-1 |
| Date Time | 2021-09-10 13:15:00 |
| Presentation Time | 25 minutes |
| Registration for | ET |
| Paper # | ET2021-11 |
| Volume (vol) | vol.121 |
| Number (no) | no.174 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2021-09-03 (ET) |
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