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Affective collaborative robots for safety & crisis management in the field

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Author: Looije, R. · Neerincx, M.A. · Kruijff, G.J.M.
Type:article
Date:2007
Institution: TNO Defensie en Veiligheid
Source:In: B. Van de Walle, P. Burghardt and C. Nieuwenhuis, eds. Information Systems for Crisis Response and Management (ISCRAM), Delft, the Netherlands,
Identifier: 19225
Keywords: Psychology Command and control · man-machine interface · collaboration · robotics · decision making

Abstract

The lack of human-robot collaboration currently presents a bottleneck to widespread use of robots in urban search & rescue (USAR) missions. The paper argues that an important aspect of realizing human-robot collaboration is collaborative control, and the recognition and expression of affect. Affective collaborative robots can enhance joint human-robot performance by adapting the robot’s (social) role and interaction to the user’s affective state and the context. Current USAR robots lack these capabilities. This paper presents theory, application domains, and requirements for affective collaborative robots based on the current state of the art. With methods from cognitive architectures, affective computing, and human-robot interaction, three core functions of affective collaborative robots can be realized: sliding autonomy, affective communication, and adaptive attitude. These robot functions can substantially enhance the efficiency and effectiveness of rescue workers and meanwhile reduce their cognitive workload. Furthermore, robots with such functions can approach civilians in the field appropriately. Keywords Human-robot interaction; affective computing; collaboration and decision processes