Measuring Children’s Perceptions of Robots’ Social Competence: Design and Validation

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Abstract

This paper presents the design and validation of a measurement instrument for children’s perceptions of robots’ social competence. The need for a standardized validated instrument has emerged as a requisite for meta-analyses and comparisons among various studies in the field of child-robot interaction. We report on the development of the instrument and its validation, which adopted a design-based method with two iterations. We used construct validity, which was formed by divergent and convergent validity. Children’s perceptions of three different robotic platforms were examined in two empirical studies with 78 children aged 7–9 years, which was based on semi-structured interviews with qualitative thematic content analysis. The results indicated that children differentiate their perception of social competence depending on the perceived intentionality of the robot and they ascribe discrete categorizations to the robot such as a machine, social artifact and social agent. The findings are discussed in relation to existing literature.

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Charisi, V., Davison, D. P., Wijnen, F. M., Reidsma, D., & Evers, V. (2017). Measuring Children’s Perceptions of Robots’ Social Competence: Design and Validation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10652 LNAI, pp. 676–686). Springer Verlag. https://doi.org/10.1007/978-3-319-70022-9_67

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