Interaction Studies - Volume 23, Issue 2, 2022

Abstract

During the last decade, children have shown an increasing need for mental wellbeing interventions due to their anxiety and depression issues, which the COVID-19 pandemic has exacerbated. Socially Assistive Robotics have been shown to have a great potential to support children with mental wellbeing-related issues. However, understanding how robots can be used to aid the measurement of these issues is still an open challenge. This paper presents a narrative review of child-robot interaction (cHRI) papers (IEEE ROMAN proceedings from 2016–2021 and keyword-based article search using Google Scholar) to investigate the open challenges and potential knowledge gaps in the evaluation of mental wellbeing or the assessment of factors affecting mental wellbeing in children. We exploited the SPIDER framework to search for the key elements for the inclusion of relevant studies. Findings from this work (10 screened papers in total) investigate the challenges in cHRI studies about mental wellbeing by categorising the current research in terms of robot-related factors (robot autonomy and type of robot), protocol-related factors (experiment purpose, tasks, participants and user sensing) and data related factors (analysis and findings). The main contribution of this work is to highlight the potential opportunities for cHRI researchers to carry out measurements concerning children’s mental wellbeing.

Abstract

Social robots have the potential to support autistic school children with their wellbeing. This research reveals how a co-design approach with autistic children and their teachers was undertaken. Focus groups with autistic children and teachers collaboratively identified user requirements for the social robot and robot behaviours within the school ecosystem in order to improve student wellbeing. The results reveal the importance of including autistic children in the co-design process to ensure their voices are heard and also that the role of the robot is appropriate and targeted to the users’ needs and requirements. Autistic children and their teachers report multiple potential benefits for social robots supporting emotional wellbeing in the school. Autistic children were supportive of the introduction of a social robot in their school, mostly expressing positive attitudes towards the robot. The research is significant in revealing how a user-centred co-design approach involving autistic children and social robots may support emotional wellbeing.

Abstract

Understanding the impact of robot errors in child-robot-interactions (CRI) is critical, as current technological systems are still limited and may randomly present a variety of mistakes during interactions with children. In this study we manipulate a task-based error of a NAO robot during a semi-autonomous computational thinking task implemented with the Cozmo robot. Data from 72 children aged 7–10 were analysed regarding their attitudes towards NAO (social trust, competency trust, liking, and perceived agency), their behaviour towards the robot (self-disclosure, following recommendations), as well as their task performance. We did not find quantitative effects of the robot’s error on children’s self-reported attitudes, behaviour, or task performance. Age was also not significantly related to either social attitudes or behaviours towards NAO, although there were some age-related differences in task performance. Potential reasons behind the lack of statistical effects and limitations of the study with regards to the manipulation of robot errors are discussed and insights into the design of future CRI studies provided.

Abstract

Several lines of research within developmental psychology, experimental semiotics and language origins studies have recently converged in their interest in pantomime as a system of bodily communication distinct from both language (spoken or signed) and nonlinguistic gesticulation. These approaches underscore the effectiveness of pantomime, which despite lack of semiotic conventions is capable of communicating complex meanings. However, very little research is available on the structural underpinnings of this effectiveness, that is, the specific properties of pantomime that determine its communicative success. To help fill in this gap, we conducted an exploratory rating study aimed at identifying those properties of pantomime that facilitate its understanding. We analysed an existing corpus of 602 recordings of whole-body re-enactments of short transitive events, coding each of them for 6 properties, and found out that the presence of salient elements (conspicuous objects in a specific semantic space), image mapping (representing the physical orientation of the object), and gender markers (distinguishing between the represented characters) increased the guessability of pantomimes.

Abstract

Globally, robots can be described as some sets of moving parts that are dedicated to a task while using their own energy. Yet, humans commonly qualify those machines as being intelligent, autonomous or being able to learn, know, feel, make decisions, etc. Is it merely a way of talking or does it mean that robots could eventually be more than a complex set of moving parts? On the one hand, the language of robotics allows multiple interpretations (leading sometimes to misreading or confusion in various contexts). On the other hand, the status of robots is challenged more and more by technical achievements and humans’ own empirical beliefs. In this paper, we follow a linguistic approach in order to explore the relevance of these words when talking about robots. Since we note that the words impose themselves (even if opposed), we discuss the efficiency of a rhetorical strategy in order to work with such a lexicon in robotics. More precisely, we explore the argumentative technique of the dissociation of notions through the study of a practical case: the case of robot lawn mowers versus hedgehogs.

This article reviews Cognitive Sociolinguistics Revisited9783110738513

This article reviews Understanding Dialogue: Language Use and Social Interaction978-1-108-47361-3