Abstract According to the World Health Organization, the early identification of mental wellbeing issues in children is extremely important for children’s growth and development. However, the available health services are not sufficient to address children’s needs in this area. Literature suggests that robots can provide the support needed to promote mental wellbeing in children, but how robots can help with the assessment of mental wellbeing is relatively unexplored. Hence, this work analyses multiple data modalities collected in an exploratory study involving 41 children (8–13 years old, 21 females and 20 males) who interacted with a Nao robot for about 30–45 min. During this session, the robot delivered four tasks: (1) happy and sad memory recall, (2) the Short Moods and Feelings Questionnaire (SMFQ), (3) the picture-based task inspired by the Children Appreciation Test (CAT), and (4) the Revised Children Anxiety and Depression Scale (RCADS). We clustered the participants into three groups based on their SMFQ scores as follows: low tertile (16 participants), med tertile (12 participants), and high tertile (13 participants). Then, we described and analysed the data collected from multiple sources (i.e., questionnaires responses, audio-visual recordings, and speech transcriptions) to gather multiple perspectives for understanding how children’s responses and behaviours differ across the three clusters (low, med, vs high) and their gender (boys vs girls) for robot-assisted assessment of mental wellbeing. Our results show that: (i) the robotised mode is the most effective in the identification of wellbeing-related concerns with respect to standardised modes of administration (self-report and parent-report); (ii) children less likely to have mental wellbeing concerns displayed more expressive responses than children who are more likely to have mental wellbeing concerns; and (iii) girls who are more likely to have mental wellbeing concerns displayed more expressive responses than boys, while boys who are less likely to have mental wellbeing concerns displayed more expressive responses than girls. Findings from this work are promising for paving the way towards automatic assessment of mental wellbeing in children via robot-assisted interactions. 

pdf/analysing-childrens-responses-from-multiple-modalities-1itvmbiyi1.pdf

Analysing Children’s Responses from Multiple Modalities During Robot-Assisted Assessment of Mental Wellbeing

Abstract Over the past several decades, robots have gradually infiltrated our daily lives, evolving from tools to social companions. With more robots and artificial intelligence agents becoming capable of engaging in social and emotional interactions, investigating the dynamics behind these relationships is becoming increasingly relevant. Despite increasing interests, little research has conducted systematic research to unpack their underlying mechanisms. Utilizing the PRISMA framework, this review systematically examined attachment within Human-Robot Interaction (HRI) from 30 studies, by synthesizing research on human-robot emotional bonds from the last 15 years. This review highlights the need of integrating traditional psychological attachment theories to deepen our comprehension of these relationships. It also identifies gaps in current methodologies and suggests directions for future research, emphasizing the importance of grounding these studies in established psychological frameworks to better understand and facilitate these evolving human-robot relationships.

Exploring Emotional Connections: A Systematic Literature Review of Attachment in Human-Robot Interaction

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Intelligent Robots Embedding into Society: Reshaping Trust in the Human–Robot Interaction

Human-AI collaboration: Unraveling the effects of user proficiency and AI agent capability in intelligent decision support systems

This study searched the Web of Science core database for literature related to robotic arms for humanoid robots and used bibliometrics and CiteSpace 6.1.R2 software to visually analyze the authors, institutions, and keywords of the literature published in this field from 2009 to 2023. The study summarizes the current status and trends of robotic arms for humanoid robots and incorporates information extraction to select and include 376 articles for analysis. This study provides the field's development vein by reviewing the relevant literature and follows the research progress in the area of humanoid robots in a particular vein. In addition to thoroughly examining robotic arms and motion generating techniques for robotic arms that mimic human action, this study reviews pertinent literature. A review of the literature indicates a clear trend toward the use of artificial intelligence and machine learning to create motion control schemes for humanoid robotic arms. The report then assesses current methodologies and suggests future research directions for promising studies.

Bibliometric analysis and visualization of research and development trends in humanoid robotics

Human-robot interaction (HRI) spans many and diverse contexts, each varying in the preferred degree of social connection fostered therein. The design of robotic systems and selection of which robotic forms to use will thus benefit from an understanding of the factors by which social connection is enhanced or diminished. We address this fundamental problem through an exploratory study of role-taking, a core construct from structural social psychology. Through a laboratory experiment (N=86) in which participants interact with either human, humanoid robot, or non-humanoid robot partners, we examine variation in perceived role-taking accuracy, affection for the partner, and desire for continued interaction. Findings show that participants evaluate human interaction partners as more accurate role-takers than robots, but with variation between robotic types (humanoid vs non-humanoid) in relation to personality versus emotion. Sense of affection and desire for continued interaction are predicted by interpersonal factors rather than partner type or robotic form. We discuss possible reasons behind these preliminary findings and draw on them to formulate subsequent research questions. More broadly, we call for continued study at the intersection of HRI and structural social psychology, advancing both fields through the pairing. 

Role-taking and robotic form: an exploratory study of social connection in human-robot interaction

Role-Taking in Human-Robot Interaction

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Role-taking and robotic form: an exploratory study of social connection in human-robot interaction

Role-Taking in Human-Robot Interaction