論 文Papers

CONFERENCE (INTERNATIONAL)

Proactive Car Navigation: Destination Prediction release us from struggle user input of Car Navigation

Ryo Imai(Tokyo Tech), Kosuke Watanabe, Kota Tsubouchi, Masamichi Shimosaka(Tokyo Tech)

The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2019), 2019/9

Category:

機械学習 (Machine Learning) データサイエンス (Data Science) 次世代UI・インタラクション (HCI)

Abstract:
Conventional car navigation systems that require manual input of a user's destination are not frequently used for familiar routes such as daily commutes and regular shopping. In this demo paper, we propose and realize proactive car navigation, which integrates daily destination prediction system to car navigation system in order to eliminate input by user by displaying information related to destinations automatically.
Download:

Proactive Car Navigation: Destination Prediction release us from struggle user input of Car Navigation(外部サイト/External Site Link)