A Synchronization Feedback System to Improve Interaction Correlation in Subjects With Autism Spectrum Disorder

Ma, Yong; Han, Yean; Lin, Jie; Cosentino, Sarah; Nishio, Yuya; Oshiyama, Chiaki; Takanishi, Atsuo

doi:10.1109/icawst.2018.8517233

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Qualities considered to be essential for effective design were system adaptability and user-centred, as well as user participation, iterative prototyping, and interdisciplinary development teams. The robots' design resulting efficient to attract children's attention have humanoid [91,93,94,124,125] resemblance or attractive colours [90,94,124,125] looking more like interactive toys [92,94] providing audio and social feedback to the child during different scenarios to improve their performance. Some systems use the participant's visual attention and tracks different objects as well as providing analysis of imitation accuracy/agility [85,124] during the sessions for behavioural assessment of the children [90,124].…”

Section: Discussionmentioning

confidence: 99%

“…Music and auditory environments implemented using virtual reality [81][82][83] (Table 1), software applications [84][85][86][87][88][89] (Table 2), machine learning [90,91] and robotics [92][93][94] (Table 3) have highlighted the benefits of combining multi-sensory stimuli to boost expression through sounds and music. These new forms of intervention also include therapeutic goals such as improved motor control, social-engagement, body awareness and creativity [95,96] which is this review's focus.…”

Section: Music-therapy and Technologymentioning

confidence: 99%

“…The theoretical background in support of most of the selected studies stem from multimodal embodied interaction, theories of embodied cognition and sensory integration, as well as synaesthesia and cross modality literature [23]. We included one of the studies [91] as a work in progress, although it did not present results with autistic individuals but with typically developing participants. However, the system was initially designed for autism and presents features which can be taken into consideration for future design.…”

Section: Waseda (Was-5) [91]mentioning

confidence: 99%

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How Technology Applied to Music-Therapy and Sound-Based Activities Addresses Motor and Social Skills in Autistic Children

Ragone

Good

Howland

2021

MTI

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Autism affects how people perceive and make sense of the world around them. Autism is a spectrum condition which impacts people in different ways. Also referred to as Autism Spectrum Disorder (ASD), it is characterized by challenges in the domains of social, cognitive and motor functioning, which differ in severity. Previous research suggests that music can have cognitive, psychosocial, behavioural, and motor benefits in this population. We systematically review the use of technology in Music-therapy and related sound-based activities to improve the motor and social skills of children. In May 2020 we conducted a systematic search on Music-therapy and musical activities for autistic children in research databases including Science Direct, APA PsycNet, Cochrane, IEE and Web of Science, to collect relevant studies. We initially collected 5,179 papers of which only 27 studies were identified as suitable for the scope of this review. In the paper, we analyse and describe key characteristics of each project. We then highlight the commonalities, strengths and limitations of existing work, and identify implications for future interaction design.

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Section: Discussionmentioning

confidence: 99%

Section: Music-therapy and Technologymentioning

confidence: 99%

Section: Waseda (Was-5) [91]mentioning

confidence: 99%

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How Technology Applied to Music-Therapy and Sound-Based Activities Addresses Motor and Social Skills in Autistic Children

Ragone

Good

Howland

2021

MTI

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“…Such a solution can be incorporated in assistive BCIs. Other works seek to apply these musical interfaces to improve communication and interaction between people (Syed et al, 2018;Yi-Hsiang et al, 2018). Syed et al (2018)'s study proposes a tool to help people with hearing impairments and hearing people communicate.…”

Section: Non-invasive Assistive Solutions Based On Human-machine Musical Interfacesmentioning

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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