Towards Personalized Autonomous Driving: An Emotion Preference Style Adaptation Framework

Jiali Ling, Jialong Li, Kenji Tei, Shinichi Honiden

研究成果: Conference contribution

抄録

Although autonomous driving is expected to pave the way for the future of transportation, it is often met with resistance. One of the reasons for this may be that, as of this writing, autonomous driving still cannot meet the individual needs of people. Furthermore, the unfamiliarity and discomfort when riding in an autonomous vehicle can cause drivers to feel stressed and distrustful of the vehicle. To this end, we propose an Emotion Preference Style Adaptation (EPSA) framework. The framework can analyze and determine a driver's driving preferences from the emotion which is recognized from their EEG signals. And then it will adapt the style of the vehicle's driving behavior to suit the driver's preference.

本文言語English
ホスト出版物のタイトルProceedings - 2021 IEEE International Conference on Agents, ICA 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ47-52
ページ数6
ISBN(電子版)9781665407168
DOI
出版ステータスPublished - 2021
イベント2021 IEEE International Conference on Agents, ICA 2021 - Virtual, Online, Japan
継続期間: 2021 12月 132021 12月 15

出版物シリーズ

名前Proceedings - 2021 IEEE International Conference on Agents, ICA 2021

Conference

Conference2021 IEEE International Conference on Agents, ICA 2021
国/地域Japan
CityVirtual, Online
Period21/12/1321/12/15

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システムおよび情報管理

フィンガープリント

「Towards Personalized Autonomous Driving: An Emotion Preference Style Adaptation Framework」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル