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Article type: Research Article
Authors: Andrés, Amaraa | Pardo, Diego E.a; b | Díaz, Martaa | Angulo, Cecilioa; *; **
Affiliations: [a] Universitat Politècnica de Catalunya – UPC BarcelonaTech, Spain. E-mails: amara.andres@upc.edu, marta.diaz@upc.edu, cecilio.angulo@upc.edu | [b] Advanced Robotics Department, Italian Institute of Technology, Italy. E-mail: diego.pardo@iit.it
Correspondence: [*] Corresponding author. Automatic Control Department, Universitat Politècnica de Catalunya – UPC BarcelonaTech, Pau Gargallo 5, 08028 Barcelona, Spain. Tel.: +34 93 4016976. Fax: +34 93 4017045. E-mail: cecilio.angulo@upc.edu.
Note: [**] This research was partly supported by the ACROSS project (TSI-020301-2009-27), Avanza I+D sub program of Spanish Industry, Tourism, and Trade Ministry (MITYC), the PATRICIA project (TIN2012-38416-C03-01), Spanish Ministry of Economy and Competitiveness, and European Found for Regional Development (FEDER).
Abstract: Research studies in Human Robot Interaction (HRI) with social robots usually gather observational data in order to explore the dynamics of short and long-term interactions. The most common approach for the analysis of observational data is the proposal of a small number of behavioural units which frequency and/or duration is captured. As a consequence, comparing results between studies is difficult. The present manuscript proposes a procedure to assess the complete human-robot interactive activity. Experiences with two different robots were analysed using the novel instrumentation, leading to further considerations. Finally, general guidelines extracted from experimentation are proposed to assess the interaction quality between social robots and users. Further studies can be benefited from the proposed instruments, which are expected to be validated in different HRI contexts (e.g., school, hospitals, home) with different users (e.g., children, elderly, hospitalised people).
Keywords: Human robot interaction, social robot, interaction assessment, observational methods
DOI: 10.3233/AIS-150331
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 7, no. 4, pp. 397-413, 2015
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