Autism simulator employing augmented reality: A prototype

Qin, Shibo; Nagai, Yukie; Kumagaya, Shinichiro; Ayaya, Satsuki; Asada, Minoru

doi:10.1109/devlrn.2014.6982972

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…In (Qin et al 2014), the authors hypothesized that the differences between ASD and TD individuals' perceptions caused communication problems. The authors proposed a simulator to enable TD individuals experience the perceptual over-and under-responsivity of individuals with ASD.…”

Section: Atypical Integration Of Proprioceptive and Visual Integratiomentioning

confidence: 99%

Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

et al. 2016

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We design a personalized human-robot environment for social learning for individuals with autism spectrum disorders (ASD). In order to define an individual's profile, we posit that the individual's reliance on proprioceptive and kinematic visual cues should affect the way the individual suffering from ASD interacts with a social agent (human/robot/virtual agent). In this paper, we assess the potential link between recognition performances of body/facial expressions of emotion of increasing complexity, emotion recognition on platforms with different visual features (two mini-humanoid robots, a virtual agent, and a This is one of several papers published in Autonomous Robots comprising the "Special Issue on Assistive and Rehabilitation human), and proprioceptive and visual cues integration of an individual. First, we describe the design of the EMBODI-EMO database containing videos of controlled body/facial expressions of emotions from various platforms. We explain how we validated this database with typically developed (TD) individuals. Then, we investigate the relationship between emotion recognition and proprioceptive and visual profiles of TD individuals and individuals with ASD. For TD individuals, our results indicate a relationship between profiles and emotion recognition. As expected, we show that TD individuals that rely more heavily on visual cues yield better recognition scores. However, we found that TD individuals relying on proprioception have better recognition scores, going against our hypothesis. Finally, participants with ASD relying more heavily on proprioceptive cues have lower emotion recognition scores on all conditions than participants relying on visual cues.

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Section: Atypical Integration Of Proprioceptive and Visual Integratiomentioning

confidence: 99%

Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

et al. 2016

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“…Written informed consent was obtained from all participants. This study was approved by the local ethics committee for life science research at the University of Tokyo (approval number: [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35].…”

Section: Plos Onementioning

confidence: 99%

“…A virtual reality system is one of the most appropriate tools for realistically experiencing a simulated external world because it enables us to embody another person's perceptual experiences through interaction between sensory information and voluntary action [19]. Recently, a virtual reality simulator for atypical visual perception in ASD, called the ASD simulator, was developed [20]. In this virtual reality system, visual fields on a head-mounted display are converted to autistic visual fields using visual processing techniques, depending on various features of the primary visual and auditory signals (e.g., brightness, motion, or loudness).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive intervention for reducing stigma of autism spectrum disorders: Incorporating the experience of simulated autistic perception and social contact

Tsujita

Homma²,

Kumagaya

et al. 2023

PLoS ONE

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Stigma of autism spectrum disorders (ASD) is a crucial factor leading to a lower quality of life for individuals with ASD. This research evaluated an intervention effect for the stigma through an experience of simulated autistic visual perception and video-based social contact. The intervention was conducted as an experiential workshop for the ASD simulator. Participants (N = 217; 156 women, 61 men; a mean age of 41.3) voluntarily attended the workshop. In the workshop, they received a short lecture on autistic perception, a simulated experience using the ASD simulator, a narrative video of individuals with ASD, and a group discussion. They completed the multidimensional attitudes scale, which was developed to measure four attitudes toward ASD: negative affect, calm, cognitions, and behaviors. The attitudes were measured three times: the period of registration with the workshop, during participation in the workshop, and six weeks after the workshop. With regard to the measure during participation in the workshop, attendees responded to the attitudes at the beginning or end of the workshop, to confirm whether attitudes changes were attributed to the effectiveness of the intervention or artifacts resulting from participation in the workshop. A significant reduction was observed in negative affective attitudes at the end of the workshop and persisted even six weeks afterward, even though not observed in calm, cognitive, and behavioral attitudes. Our findings suggest that implementation of our intervention can bring about reduction of the stigma associated with ASD. Further studies with a random sampling method are needed to validate its generalizability and elaborate the components of the intervention.

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“…This idea provides us with a new perspective; people are expected to be able to improve communication if they share internal models with some kind of help. To address this issue, we have been developing a head-mounted display system to simulate atypical perception in ASC [81,82]. We analysed visual experiences of ASC and revealed causal relationships between audiovisual stimuli from the environment and atypical visual patterns perceived by ASC (e.g.…”

Section: Autism Spectrum Condition Caused By Atypical Tolerance For Prediction Errormentioning

confidence: 99%

Predictive learning: its key role in early cognitive development

Nagai

2019

Phil. Trans. R. Soc. B

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What is a fundamental ability for cognitive development? Although many researchers have been addressing this question, no shared understanding has been acquired yet. We propose that predictive learning of sensorimotor signals plays a key role in early cognitive development. The human brain is known to represent sensorimotor signals in a predictive manner, i.e. it attempts to minimize prediction error between incoming sensory signals and top–down prediction. We extend this view and suggest that two mechanisms for minimizing prediction error lead to the development of cognitive abilities during early infancy. The first mechanism is to update an immature predictor. The predictor must be trained through sensorimotor experiences because it does not inherently have prediction ability. The second mechanism is to execute an action anticipated by the predictor. Interacting with other individuals often increases prediction error, which can be minimized by executing one's own action corresponding to others’ action. Our experiments using robotic systems replicated developmental dynamics observed in infants. The capabilities of self–other cognition and goal-directed action were acquired based on the first mechanism, whereas imitation and prosocial behaviours emerged based on the second mechanism. Our theory further provides a potential mechanism for autism spectrum condition. Atypical tolerance for prediction error is hypothesized to be a cause of perceptual and social difficulties. This article is part of the theme issue ‘From social brains to social robots: applying neurocognitive insights to human–robot interaction’.

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Autism simulator employing augmented reality: A prototype

Cited by 13 publications

References 7 publications

Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

Comprehensive intervention for reducing stigma of autism spectrum disorders: Incorporating the experience of simulated autistic perception and social contact

Predictive learning: its key role in early cognitive development

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