A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots

Shenoy, Sudhir; Jiang, Yusheng; Lynch, Tyler; Manuel, Lauren Isabelle; Doryab, Afsaneh

doi:10.1109/ro-man53752.2022.9900581

Cited by 1 publication

(3 citation statements)

References 45 publications

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“…The QTrobot offers 12 degrees of freedom, upper-body motions, and animated faces on a screen [35], [36]. The use of humanoid robots to enhance the development of emotion recognition and facial expression imitation skills in children with ASD [37], [38].…”

Section: Artificial Intelligence Robots-based Platformmentioning

confidence: 99%

“…Children exposed to the robot decrease their distress and positively change their attitude toward the technological device using the content of the tales (knowledge or emotional) and the different social behaviour of the narrators: static human, static robot, expressive human, and expressive robot [21]. The effectiveness of the adaptive emotion-aware robot system was measured through various metrics such as recognizing emotions, eliciting intended emotions, and enhancing trust, engagement, and empathy in social interactions [38]. In assessing the effectiveness of AI-based robotic therapy, measures like task mastery, engagement, and eye contact duration are pivotal.…”

Section: Efficacy Of the Intervention Measurable Variables Or Parametersmentioning

confidence: 99%

“…The evaluation of children's engagement during therapy sessions involved the utilization of a therapist assessment scale formulated in collaboration with ABA specialists and therapists, ensuring alignment with the expertise of professionals in the field. Converting these scores into a percentage format enabled a quantifiable measurement of engagement, contributing to a comprehensive understanding of the children's involvement dynamics throughout the therapy sessions [15], [38], [47]. The assessment involves monitoring the patient's progress by observing their therapy sessions in real-time and analysing the recorded sessions, including capturing their emotions [27].…”

Section: Assessment Utilized In the Therapy Processmentioning

confidence: 99%

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A scoping review of artificial intelligence-based robot therapy for children with disabilities

Yahya,

Jailani,

Hanapiah

et al. 2024

IJEECS

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The integration of artificial intelligence (AI)-based robot therapy (AIBRT) has become prominent in addressing the needs of children with disabilities, including autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), learning disabilities, and speech delays. However, questions arise regarding the effectiveness of different AI techniques in enhancing therapy for children with specific needs. This review explores current literature on AIBRT for children with disabilities, aiming to understand the efficacy and potential of various AI techniques in improving their therapy. This paper presents a comprehensive search of research articles published from 2019 to September 2023. 39 articles focusing on AI-based robot platforms, the employed treatment or therapy methods, assessment procedures during therapy, and the variables or parameters used to measure intervention effectiveness have been discussed in detail. These AI-based robot platforms have been utilized to engage individuals diagnosed with ASD, offering therapeutic interventions and assessments. In conclusion, the integration of AI and robotics in therapy shows promise for enhancing the development and quality of life for children with disabilities. The findings of this review have implications for therapists, practitioners, and researchers interested in incorporating AI applications into therapy practices. This integration can lead to improved therapy outcomes, optimized children’s development, and enhanced quality of life.

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