Abstract

Purpose The purpose of this paper is to conduct research with children, who have different abilities from adults, in terms of language understanding and level of attention, is a challenging task, especially concerning novel interactive systems such as social robots. Consequently, self-reporting methods are often replaced or supplemented by observational methods that are usually carried out taking advantage of video recordings. However, some limitations make this approach challenging for studies conducted with groups of children in real-world environments, whose relevance is being addressed more and more frequently in human-robot interaction (HRI) research. Thus, there is a growing need for rigorous observation approaches in unstructured test environments. Design/methodology/approach This paper presents an alternative analysis approach, in relation to an experimental child-robot interaction (CRI) application, which was developed at the Academy of Arts and Design, Tsinghua University, China. The proposed methodology is based on the analysis of video recordings of in-wild activities of children with a robot. The methodology has the aim of providing a framework to facilitate knowledge identification and structuring. It was implemented for experiment evaluation and validation purposes and to propose a reference structure for the organization of new experiments and the stimulation of new ideas and activities in the design process. Findings This methodology provides a logical structure, which can be used to identify the effectiveness or limits of design choices, pertaining to such aspects as the morphology or movement of robots or the choice of their specific role in education, all of which play crucial roles in the design process and could be improved to achieve better results. This structured identification is a practical implication for the design process, above all when it is oriented toward social robots and their interaction with children or elderly senile people. In this case, the outcomes were the identification of important elements of an experiment (psychological profiles of the involved children and possible problems or risks) and their impact on the design process. Originality/value The methodological approach, which structures and uses cognitive maps to elaborate multicriteria evaluation models, is not new to the operations research field (where it is defined as a multimethodology application of Soft OR), but it has not yet been applied in the field of HRI studies, to analyze children’s perception of a robot and to identify the factors that can affect a good CRI or to structure knowledge that can be shared to guide the design process of robots for the experience of children playing.

Highlights

  • Conducting research with children is a challenging task, especially when dealing with novel interactive systems, such as social robots

  • The challenges of evaluation studies with children have already been addressed by some authors within the child-robot interaction (CRI) community, Kennedy et al (2015) and by Charisi et al (2016), there are still no consolidated methodologies available to assess some perceptual aspects of robots, such as animacy, anthropomorphism and likeability

  • The interaction between the children and the robot was very limited in the third phase, while the second phase was different, and the descriptions of the impressions and actions of the children in this phase were used to facilitate the definition of the profiles, together with an j j VOL. 23 NO. 2 2019 MEASURING BUSINESS EXCELLENCE PAGE 115 analysis of the children’s reactions to the game presentation and activation, to consider their active or passive attitudes of being involved and to involve their parents in the game (Phases IV and V)

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Summary

Introduction

Conducting research with children is a challenging task, especially when dealing with novel interactive systems, such as social robots. The challenges of evaluation studies with children have already been addressed by some authors within the child-robot interaction (CRI) community, Kennedy et al (2015) and by Charisi et al (2016), there are still no consolidated methodologies available to assess some perceptual aspects of robots, such as animacy, anthropomorphism and likeability. These methodological challenges are becoming even more prominent in the case of studies conducted in the wild, whose relevance is being addressed more and more in human-robot interaction (HRI) research (Baxter et al, 2016). When conducted as applications in real environments, the studies are characterized by an unconstrained interaction nature, which results in the impossibility of categorizing the participants’ behavior a priori (Feil-Seifer and Mataric, 2011)

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