Toward an “Equal-footing” human-robot interaction for fully autonomous vehicles

Theocharis Amanatidis*, Patrick Langdon, P. John Clarkson

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Fully autonomous vehicles can be classified as robots. In this paper we propose to approach the development of autonomous vehicle user interfaces from a human-robot interaction perspective, based on two principles. First, different robots require different user interfaces depending on their level of automation. Second, as the level of robot automation increases so should the automation of the interface itself; creating a spectrum ranging from a conventional “master-slave” level interaction to a fully intelligent “equal-footing” level interaction. Two research questions arise: where along the spectrum described above should autonomous vehicle user interfaces be, and what technological advance would have the greatest impact in enabling those interfaces. This paper presents the theoretical foundation of our research at the intersection of three previously unconnected fields: autonomous vehicles, human-robot interaction and affective computing. We then outline an experimental framework for developing a prototype interface based on our findings.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
EditorsJessie Chen
PublisherSpringer
Pages313-319
Number of pages7
ISBN (Print)9783319603834
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventAHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017 - [state] CA, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume595
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
Country/TerritoryUnited States
City[state] CA
Period17/07/1721/07/17

Keywords

  • Affective computing
  • Autonomous vehicles
  • Human-robot interaction

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