TY - GEN
T1 - Toward an “Equal-footing” human-robot interaction for fully autonomous vehicles
AU - Amanatidis, Theocharis
AU - Langdon, Patrick
AU - Clarkson, P. John
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Affective computing
KW - Autonomous vehicles
KW - Human-robot interaction
UR - http://www.scopus.com/inward/record.url?scp=85041034556&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60384-1_30
DO - 10.1007/978-3-319-60384-1_30
M3 - Conference contribution
AN - SCOPUS:85041034556
SN - 9783319603834
T3 - Advances in Intelligent Systems and Computing
SP - 313
EP - 319
BT - Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
A2 - Chen, Jessie
PB - Springer
T2 - AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
Y2 - 17 July 2017 through 21 July 2017
ER -