Demo: Proactive car navigation: How can destination prediction give Us new navigation experience?

1Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

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 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. By questionnaire-based evaluation, we found that proactive car navigation innovates a user’s driving experiences, and offers them various advantages, even for regularly frequented destinations.

Cite

CITATION STYLE

APA

Imai, R., Watanabe, K., Tsubouchi, K., & Shimosaka, M. (2019). Demo: Proactive car navigation: How can destination prediction give Us new navigation experience? In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 292–295). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341162.3343757

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free