Evaluating a social home tour robot applying heuristics

Lohse, Manja and Hanheide, Marc (2008) Evaluating a social home tour robot applying heuristics. In: Robots as Social Actors Workshop: International Symposium on Robot and Human Interactive Communication (RO-MAN 08), 1-3 August 2008, Munich, Germany.

Full content URL: http://aiweb.techfak.uni-bielefeld.de/files/lohse_...

Documents
Lohse2008-Evaluating_a_social_home_tour_robot_applying_heuristics_(1).pdf
[img]
[Download]
[img]
Preview
PDF
Lohse2008-Evaluating_a_social_home_tour_robot_applying_heuristics_(1).pdf - Whole Document

927kB
Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

In a society that keeps getting closer in touch with social robots it is very important to include potential users throughout the design of the systems. This is an important rationale to build robots that provide services and assistance in a socially acceptable way and influence societies in a positive way. In the process, methods are needed to rate the robot interaction performance. We present a multimodal corpus of naïve users interacting with an autonomously operating system. It comprises data that, to our conviction, reveal a lot about human-robot interaction (HRI) in general and social acceptance, in particular. In both, the evaluation and the design process we took into account Clarkson and Arkin's heuristics for HRI (developed by adapting Nielsen's and Scholtz' heuristics to robotics) 1. We discuss exemplary results to show the use of heuristics in the design of socially acceptable robots.

Additional Information:In a society that keeps getting closer in touch with social robots it is very important to include potential users throughout the design of the systems. This is an important rationale to build robots that provide services and assistance in a socially acceptable way and influence societies in a positive way. In the process, methods are needed to rate the robot interaction performance. We present a multimodal corpus of naïve users interacting with an autonomously operating system. It comprises data that, to our conviction, reveal a lot about human-robot interaction (HRI) in general and social acceptance, in particular. In both, the evaluation and the design process we took into account Clarkson and Arkin's heuristics for HRI (developed by adapting Nielsen's and Scholtz' heuristics to robotics) 1. We discuss exemplary results to show the use of heuristics in the design of socially acceptable robots.
Keywords:Robotics, Human-robot interaction
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:6930
Deposited On:04 Jan 2013 15:57

Repository Staff Only: item control page