A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots

Bagheri, Elahe; Roesler, Oliver; Cao, Hoang-Long; Vanderborght, Bram

doi:10.1007/s12369-020-00683-4

Cited by 18 publications

(11 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The environment changes its state to the succeeding state according to the probability function. We also can find studies using a reinforcement learning algorithm, such as those by [ 79 , 80 , 81 , 82 ]. The study by Bagheri et al [ 81 ] was based on the cognitive empathy framework for social robots.…”

Section: Resultsmentioning

confidence: 99%

Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review

Cano

González

Gil

et al. 2021

Sensors

View full text Add to dashboard Cite

Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when social robots are designed for children, and especially those with autism spectrum disorder (ASD). Social robots are based on cognitive-affective models, which allow them to communicate with people following social behaviors and rules. However, interactions between a child and a robot may change or be different compared to those with an adult or when the child has an emotional deficit. In this study, we systematically reviewed studies related to computational models of emotions for children with ASD. We used the Scopus, WoS, Springer, and IEEE-Xplore databases to answer different research questions related to the definition, interaction, and design of computational models supported by theoretical psychology approaches from 1997 to 2021. Our review found 46 articles; not all the studies considered children or those with ASD.

show abstract

Section: Resultsmentioning

confidence: 99%

Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review

Cano

González

Gil

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…ServBots are also able to accept blame (Kerruish 2021 ) (IJ dimension: apology ) and provide explanations, feedback, and information (Kerruish 2021 ; Leite et al 2013a , b ), and recommend activities (Rincon et al 2019 ) with high scores in social presence and sociability (Rossi et al 2020 ) (IJ dimension: explanation ). Finally, ServBots can show helpfulness, attention, and listening skills (IJ dimension: interest ) through facial expressions (Pasternak et al 2021 ), social behaviors (Rossi et al 2020 ; Sakurai et al 2020 ), empathic display (Bagheri et al 2021 ; Kuhnlenz et al 2013 ), and high social presence (Leite et al 2014 ). These findings show that ServBots' emotional and social skills to handle interactions during service encounters go beyond customers' concerns and negative perceptions of ServBots, as reported in Table 1 .…”

Section: Servbots' Capacity To Use Ij During Service Recovery: a Comp...mentioning

confidence: 99%

Can robots recover a service using interactional justice as employees do? A literature review-based assessment

2023

View full text Add to dashboard Cite

Interactional justice (e.g., empathy) plays a crucial role in service recovery. It relies on human social skills that would prevent it from automation. However, several considerations challenge this view. Interactional justice is not always necessary to recover service, and progress in social robotics enables service robots to handle social interactions. This paper reviews service recovery and social robotics literature and addresses whether service robots can use interactional justice as frontline employees do during service recovery. Results show service robots can replicate interactional justice norms, although with some considerations. Accordingly, we propose a research agenda for future studies.

show abstract

“…Studies suggest that adding emotional information to SAR enhances user satisfaction [11] and results in a more positive interaction between robot and human. Empathy is a critical skill in health and elder care; users perceive robots that express empathic behavior as more friendly, understanding, and caring [12].…”

Section: Introductionmentioning

confidence: 99%

Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study

Abdollahi,

Mahoor,

Zandie

et al. 2022

Preprint

View full text Add to dashboard Cite

This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a socially assistive robot designed to provide companionship for older adults with depression and dementia through conversation. We used two versions of Ryan for our study, empathic and non-empathic. The empathic Ryan utilizes a multimodal emotion recognition algorithm and a multimodal emotion expression system. Using different input modalities for emotion, i.e. facial expression and speech sentiment, the empathic Ryan detects users' emotional state and utilizes an affective dialogue manager to generate a response. On the other hand, the non-empathic Ryan lacks facial expression and uses scripted dialogues that do not factor in the users' emotional state. We studied these two versions of Ryan with 10 older adults living in a senior care facility. The statistically significant improvement in the users' reported face-scale mood measurement indicates an overall positive effect from the interaction with both the empathic and non-empathic versions of Ryan. However, the number of spoken words measurement and the exit survey analysis suggest that the users perceive the empathic Ryan as more engaging and likable.

show abstract

A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots

Cited by 18 publications

References 33 publications

Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review

Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review

Can robots recover a service using interactional justice as employees do? A literature review-based assessment

Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study

Contact Info

Product

Resources

About