Analysis of navigational habituation

Yoichi Morales, Jamilah Abdur-Rahim, Atsushi Watanabe, Jani Even

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

5 Citations (Scopus)


This paper presents a model of navigational habituation for human passengers riding an autonomous robotic wheelchair. We present an example on how robot technology is utilized to understand human behavior which is useful to build human-like navigation models. The work consists of three parts, data collection from manual driving participants, habituation modeling and autonomous navigation experimentation. Manual driving data collection consisted of recording human driving control behavior using a robotic wheelchair in a complex labyrinth-like environment, while measuring physiological activity and emotional state via subjective reports (questionnaires). The purpose of this first part was to collect a sufficient representation of the evolution of human driving behavior in a complex environment (23 participants), such that a numerical model could be found to approximate the trend in velocity usage; velocity usage characterizes navigational habituation. The complex environment habituation model was tested and evaluated, on a different set of 16 participants, in a fully autonomous navigation setting where the robotic wheelchair followed a pre-recorded path. Self-reports and physiological measures confirmed that the proposed habitation velocity regulation model provides a more comfortable ride compared to slow and fast pre-defined static velocity profiles.

Original languageEnglish
Title of host publicationIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781538626825
Publication statusPublished - 2017 Dec 13
Event2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
Duration: 2017 Sep 242017 Sep 28

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866


Other2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications


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