DocumentCode
3501671
Title
Towards leveraging the driver´s mobile device for an intelligent, sociable in-car robotic assistant
Author
Williams, Keith J. ; Peters, Joshua C. ; Breazeal, Cynthia L.
Author_Institution
Mech. Eng. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2013
fDate
23-26 June 2013
Firstpage
369
Lastpage
376
Abstract
This paper presents AIDA (Affective Intelligent Driving Agent), a social robot that acts as a friendly, in-car companion. AIDA is designed to use the driver´s mobile device as its face. The phone displays facial expressions and is the main computational unit to manage information presented to the driver. We conducted an experiment in which participants were placed in a mock in-car environment and completed driving tasks while stress-inducing phone and vehicle notifications occurred throughout the interaction. Users performed the task with the help of: 1) a smartphone, 2) the AIDA persona with the phone mounted on a static dock, or 3) the AIDA persona attached to a robot. Results revealed that AIDA users felt less stressed throughout the interaction, performed vehicle safety precautions more often, and felt more companionship with AIDA as compared to smartphone users. Further, participants developed a deeper bond with AIDA as a social robot compared to AIDA as a static, expressive agent.
Keywords
driver information systems; human-robot interaction; mobile computing; road safety; service robots; smart phones; AIDA persona; affective intelligent driving agent; driver mobile device; driving tasks; facial expressions; in-car companion; intelligent sociable in-car robotic assistant; mock in-car environment; smartphone; social robot; static dock; static expressive agent; stress-inducing phone notifications; vehicle notifications; vehicle safety precautions; Calendars; Mobile handsets; Navigation; Portable computers; Robots; Safety; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location
Gold Coast, QLD
ISSN
1931-0587
Print_ISBN
978-1-4673-2754-1
Type
conf
DOI
10.1109/IVS.2013.6629497
Filename
6629497
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