An Approach for Measurement of Passenger Comfort: Real-Time Classification based on In-Cabin and Exterior Data

Ariel Telpaz, Michael Baltaxe, Ron M. Hecht, Guy Cohen-Lazry, Asaf Degani, Gila Kamhi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

The comfort level of passengers is an important factor in measuring user experience in any form of transportation, including in autonomous vehicles. One of the main factors that determines user acceptance of autonomous vehicles is the passenger's level of discomfort in a 'control- and authority-less' experience. In this paper, we propose an approach for formulating discomfort through 'on-the-road' field studies, with human driven vehicles, while the passenger provides real-time explicit feedback on discomfort via a potentiometer. While previous studies focused on the association between vehicle dynamics and passenger discomfort, we demonstrate here how we can improve the classification ability of passenger discomfort by employing a multi-dimensional model that also takes into account the external scenario (contextual information). This is achieved by processing image data (e.g. distance from nearest bicycle) recorded through an outward looking camera in addition to location/route data obtained from other sensors like GPS. As such, the focus of this paper is on classification of external information.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages223-229
Number of pages7
ISBN (Electronic)9781728103235
DOIs
StatePublished - 7 Dec 2018
Externally publishedYes
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: 4 Nov 20187 Nov 2018

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November

Conference

Conference21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/TerritoryUnited States
CityMaui
Period4/11/187/11/18

Keywords

  • Acceptance
  • Computational Model
  • Data Analytics for HMI
  • Discomfort
  • Machine Learning
  • Measurement of Discomfort
  • On-the-Road User Studies

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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