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| Presentation | 2018-09-28 15:05 A study of the potentiality to predict personality traits, BIG5, from driving behavior Yuichi Ishikawa, Akihiro Kobayashi, Minamikawa Atsunori (KDDI Research)  LOIS2018-23 IE2018-43 EMM2018-62 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper studies the potentiality to predict the personality traits, BIG5, from daily driving behavior. Having examined the data collected from 140 Japanese subjects for two months, we confirmed that (1) both car usage behavior (drive frequency, distance, duration, etc.) and driving operation behavior (operation of steering wheel, throttle and brake pedal, etc.) have significant correlations to all BIG5 factors and (2) BIG5 can be predicted from those driving behavior data with an accuracy of ROC-AUC 0.62~0.85. In addition, as for driving operation data, we found that the prediction accuracy can be improved by selectively using the data of particular driving situation such as left/right turn, reverse and slow speed rather than using all the data regardless of driving situation. Compared to existing techniques to predict BIG5 from smartphone/SNS usage pattern, our approach predicts Openness and Agreeableness with relatively higher accuracy among BIG5 factors, which are predicted with lower accuracy by existing ones, having potential to complement the existing approaches. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | personality traits / BIG5 / FFM / car / driving behavior / driving operation / car usage / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 222, LOIS2018-23, pp. 89-94, Sept. 2018. | |
| Paper # | LOIS2018-23 | |
| Date of Issue | 2018-09-20 (LOIS, IE, EMM) | |
| 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 | LOIS2018-23 IE2018-43 EMM2018-62 |
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| Conference Information | |
| Committee | IEE-CMN EMM LOIS IE ITE-ME |
| Conference Date | 2018-09-27 - 2018-09-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Beppu Int'l Convention Ctr. aka B-CON Plaza |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, Media Processing (AI, Deep Learning), etc. |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2018-09-CMN-EMM-LOIS-IE-ME |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of the potentiality to predict personality traits, BIG5, from driving behavior |
| Sub Title (in English) | |
| Keyword(1) | personality traits |
| Keyword(2) | BIG5 |
| Keyword(3) | FFM |
| Keyword(4) | car |
| Keyword(5) | driving behavior |
| Keyword(6) | driving operation |
| Keyword(7) | car usage |
| Keyword(8) | |
| 1st Author's Name | Yuichi Ishikawa |
| 1st Author's Affiliation | KDDI Research (KDDI Research) |
| 2nd Author's Name | Akihiro Kobayashi |
| 2nd Author's Affiliation | KDDI Research (KDDI Research) |
| 3rd Author's Name | Minamikawa Atsunori |
| 3rd Author's Affiliation | KDDI Research (KDDI Research) |
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| Speaker | Author-1 |
| Date Time | 2018-09-28 15:05:00 |
| Presentation Time | 25 minutes |
| Registration for | LOIS |
| Paper # | LOIS2018-23, IE2018-43, EMM2018-62 |
| Volume (vol) | vol.118 |
| Number (no) | no.222(LOIS), no.223(IE), no.224(EMM) |
| Page | pp.89-94 |
| #Pages | 6 |
| Date of Issue | 2018-09-20 (LOIS, IE, EMM) |
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