Robot‐mediated therapy to reduce worrying in persons with visual and intellectual disabilities

Wingerden, Evelien van; Barakova, Emilia; Lourens, Tino; Sterkenburg, P.S.

doi:10.1111/jar.12801

Cited by 10 publications

(4 citation statements)

References 36 publications

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“…ref. [90]), it will be valuable for future research to consider additional aspects of interactions with social robots, including the form of broadcasting and privacy matters.…”

Section: Overall Disclosure Differs By Agent Not Topicmentioning

confidence: 99%

Tell me more! Assessing interactions with social robots from speech

Laban

George

Morrison

et al. 2020

Paladyn, Journal of Behavioral Robotics

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As social robots are increasingly introduced into health interventions, one potential area where they might prove valuable is in supporting people’s psychological health through conversation. Given the importance of self-disclosure for psychological health, this study assessed the viability of using social robots for eliciting rich disclosures that identify needs and emotional states in human interaction partners. Three within-subject experiments were conducted with participants interacting with another person, a humanoid social robot, and a disembodied conversational agent (voice assistant). We performed a number of objective evaluations of disclosures to these three agents via speech content and voice analyses and also probed participants’ subjective evaluations of their disclosures to three agents. Our findings suggest that participants overall disclose more to humans than artificial agents, that agents’ embodiment influences disclosure quantity and quality, and that people are generally aware of differences in their personal disclosures to three agents studied here. Together, the findings set the stage for further investigation into the psychological underpinnings of self-disclosures to artificial agents and their potential role in eliciting disclosures as part of mental and physical health interventions.

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“…ref. [90]), it will be valuable for future research to consider additional aspects of interactions with social robots, including the form of broadcasting and privacy matters.…”

Section: Overall Disclosure Differs By Agent Not Topicmentioning

confidence: 99%

Tell me more! Assessing interactions with social robots from speech

Laban

George

Morrison

et al. 2020

Paladyn, Journal of Behavioral Robotics

View full text Add to dashboard Cite

show abstract

“…For having more effective stress coping support, we need to consider a long-term interaction. For example, a past study reported the effectiveness of robot-mediated therapeutic intervention for people with visual and intellectual disabilities that was done for more than one month [38]. Designing conversational contents and memorization functions considering the changes of users' concerns and their self-schemas would be needed in long-term interaction.…”

Section: A Implicationsmentioning

confidence: 99%

A Robot That Encourages Self-Disclosure to Reduce Anger Mood

Akiyoshi

Nakanishi

Ishiguro

et al. 2021

IEEE Robot. Autom. Lett.

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One essential role of social robots is supporting human mental health by interaction with people. In this study, we focused on making people's moods more positive through conversations about their problems as our first step to achieving a robot that cares about mental health. We employed the column method, typical stress coping technique in Japan, and designed conversational contents for a robot. We implemented conversational functions based on the column method for a social robot as well as a self-schema estimation function using conversational data, and proposed conversational strategies to support awareness of their self-schemas and automatic thoughts, which are related to mental health support. We experimentally evaluated our system's effectiveness and found that participants who used it with our proposed conversational strategies made more self-disclosures and experienced less anger than those who did not use our proposed conversational strategies. Unfortunately, the strategies did not significantly increase the performance of the self-schema estimation function.

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“…It can be a bridge for interaction with autistic children, improving their social skills (HAN et al, 2018), assist in treatment of children with cancer (Ranjkar et al, 2019), contribute with wrist (English & Howard, 2017a) and upper limb (Kikuchi et al, 2018) rehabilitation. Furthermore, it can contribute to therapeutic interventions in order to support people with visual and intellectual disabilities (Wingerden et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Affective computing in the context of music therapy: a systematic review

Santana

Lima

Torcate

et al. 2021

RSD

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Music therapy is an effective tool to slow down the progress of dementia since interaction with music may evoke emotions that stimulates brain areas responsible for memory. This therapy is most successful when therapists provide adequate and personalized stimuli for each patient. This personalization is often hard. Thus, Artificial Intelligence (AI) methods may help in this task. This paper brings a systematic review of the literature in the field of affective computing in the context of music therapy. We particularly aim to assess AI methods to perform automatic emotion recognition applied to Human-Machine Musical Interfaces (HMMI). To perform the review, we conducted an automatic search in five of the main scientific databases on the fields of intelligent computing, engineering, and medicine. We search all papers released from 2016 and 2020, whose metadata, title or abstract contains the terms defined in the search string. The systematic review protocol resulted in the inclusion of 144 works from the 290 publications returned from the search. Through this review of the state-of-the-art, it was possible to list the current challenges in the automatic recognition of emotions. It was also possible to realize the potential of automatic emotion recognition to build non-invasive assistive solutions based on human-machine musical interfaces, as well as the artificial intelligence techniques in use in emotion recognition from multimodality data. Thus, machine learning for recognition of emotions from different data sources can be an important approach to optimize the clinical goals to be achieved through music therapy.

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Robot‐mediated therapy to reduce worrying in persons with visual and intellectual disabilities

Cited by 10 publications

References 36 publications

Tell me more! Assessing interactions with social robots from speech

Tell me more! Assessing interactions with social robots from speech

A Robot That Encourages Self-Disclosure to Reduce Anger Mood

Affective computing in the context of music therapy: a systematic review

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