Development and evaluation of an in-vehicle haptic navigation system

Jungsik Hwang, Kyungmi Chung, Jinshil Hyun, Jeha Ryu, Kwangsu Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we proposed an in-vehicle haptic navigation system to overcome some limitations of current in-vehicle navigation aid systems. The haptic interface using vibrotactile signals with a 5-by-5 tactor array was installed on the back of the chair. To evaluate the effectiveness of the proposed system in various cognitive load conditions, we implemented a visual search experiment using a flicker paradigm. Sixteen participants were recruited to evaluate the proposed haptic navigation system. The two independent variables were validity (valid cue, invalid cue, and no cueing) and cognitive load levels (high and low) of search tasks. Despite of the cognitive load levels, the valid cue conditions elicited shorter response times than invalid cue and no cueing conditions. The result strongly supports the effectiveness of the proposed in-vehicle navigation systems.

Original languageEnglish
Title of host publicationInformation Technology Convergence, Secure and Trust Computing, and Data Management, ITCS 2012 and STA 2012
Pages47-53
Number of pages7
DOIs
Publication statusPublished - 2012
Event4th International Conference on Information Technology Convergence and Services, ITCS 2012 and 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications, STA 2012 - Gwangju, Korea, Republic of
Duration: 2012 Sept 62012 Sept 8

Publication series

NameLecture Notes in Electrical Engineering
Volume180 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other4th International Conference on Information Technology Convergence and Services, ITCS 2012 and 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications, STA 2012
Country/TerritoryKorea, Republic of
CityGwangju
Period12/9/612/9/8

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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