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

Daniel Patrick Davison, Vasiliki Charisi, Frances Martine Wijnen, Dennis Reidsma, Vanessa Evers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
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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.
Original languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publication9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings
EditorsAbderrahmane Kheddar, Eiichi Yoshida, Shuzhi Sam Ge, Kenji Suzuki, John-John Cabibihan, Friederike Eyssel, Hongsheng He
Pages676-686
Number of pages10
ISBN (Electronic)978-3-319-70022-9
DOIs
Publication statusPublished - 23 Nov 2017
Event9th International Conference on Social Robotics 2017 - Tsukuba, Japan
Duration: 22 Nov 201724 Nov 2017
Conference number: 9
http://www.icsr2017.org

Publication series

NameLecture notes in computer science
Volume10652

Conference

Conference9th International Conference on Social Robotics 2017
Abbreviated titleICSR 2017
CountryJapan
CityTsukuba
Period22/11/1724/11/17
Internet address

Fingerprint

social competence
robot
measurement method
construct validity
content analysis
artifact
interaction
interview

Cite this

Davison, D. P., Charisi, V., Wijnen, F. M., Reidsma, D., & Evers, V. (2017). Measuring Children’s Perceptions of Robots’ Social Competence: Design and Validation. In A. Kheddar, E. Yoshida, S. S. Ge, K. Suzuki, J-J. Cabibihan, F. Eyssel, & H. He (Eds.), Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings (pp. 676-686). (Lecture notes in computer science; Vol. 10652). https://doi.org/10.1007/978-3-319-70022-9_67
Davison, Daniel Patrick ; Charisi, Vasiliki ; Wijnen, Frances Martine ; Reidsma, Dennis ; Evers, Vanessa . / Measuring Children’s Perceptions of Robots’ Social Competence : Design and Validation. Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings. editor / Abderrahmane Kheddar ; Eiichi Yoshida ; Shuzhi Sam Ge ; Kenji Suzuki ; John-John Cabibihan ; Friederike Eyssel ; Hongsheng He. 2017. pp. 676-686 (Lecture notes in computer science).
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Davison, DP, Charisi, V, Wijnen, FM, Reidsma, D & Evers, V 2017, Measuring Children’s Perceptions of Robots’ Social Competence: Design and Validation. in A Kheddar, E Yoshida, SS Ge, K Suzuki, J-J Cabibihan, F Eyssel & H He (eds), Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings. Lecture notes in computer science, vol. 10652, pp. 676-686, 9th International Conference on Social Robotics 2017, Tsukuba, Japan, 22/11/17. https://doi.org/10.1007/978-3-319-70022-9_67

Measuring Children’s Perceptions of Robots’ Social Competence : Design and Validation. / Davison, Daniel Patrick; Charisi, Vasiliki ; Wijnen, Frances Martine; Reidsma, Dennis ; Evers, Vanessa .

Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings. ed. / Abderrahmane Kheddar; Eiichi Yoshida; Shuzhi Sam Ge; Kenji Suzuki; John-John Cabibihan; Friederike Eyssel; Hongsheng He. 2017. p. 676-686 (Lecture notes in computer science; Vol. 10652).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Measuring Children’s Perceptions of Robots’ Social Competence

T2 - Design and Validation

AU - Davison, Daniel Patrick

AU - Charisi, Vasiliki

AU - Wijnen, Frances Martine

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AU - Evers, Vanessa

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N2 - 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.

AB - 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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Davison DP, Charisi V, Wijnen FM, Reidsma D, Evers V. Measuring Children’s Perceptions of Robots’ Social Competence: Design and Validation. In Kheddar A, Yoshida E, Ge SS, Suzuki K, Cabibihan J-J, Eyssel F, He H, editors, Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings. 2017. p. 676-686. (Lecture notes in computer science). https://doi.org/10.1007/978-3-319-70022-9_67