Attention shifting during child—robot interaction: a preliminary clinical study for children with autism spectrum disorder

Wan, Guobin; Deng, Fuhao; Jiang, Zijian; Lin, Shengzhao; Zhao, Cheng-lian; Liu, Boxun; Chen, Gong; Shen-hong, Chen; Cai, Xiaohong; Wang, Hao-bo; Li, Liping; Yan, Ting; Zhang, Jiaming

doi:10.1631/fitee.1800555

Cited by 8 publications

(7 citation statements)

References 16 publications

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“…We developed a socially interactive robot so-called Dabao for autistic rehabilitation, with which we conducted three preliminary clinical human-robot interaction studies [10,104,105] for Chinese children with ASD. Te appearance and functionalities of the robot are demonstrated in Figure 2, and the software architecture is illustrated in Figure 3 as follows.…”

Section: A Social Robot For Autistic Rehabilitationmentioning

confidence: 99%

“…Many people with autism spectrum disorder (ASD) have characteristics such as difculty in social communication (e.g., poor perception of nonverbal cues including facial expressions and gestures in body language, as well as inappropriate expressions), limited and repeated behaviors, as well as narrow, focused interests (in Diagnostic and Statistical Manual of Mental Disorders 5th Edition: DSM 5 [9]). It is increasingly necessary to introduce social interactive robots as an auxiliary means for the treatment and rehabilitation of ASD, so as to improve the diversity of treatment and the efectiveness of rehabilitation training, and to mitigate the medical staf shortages in mainland China and the rest of the world [10]. A number of treatment and training targets, such as triadic interactions, joint attention (JA), turn-taking activities, improving eye contact and self-initiated interactions, assisting the diagnostic process, emotion recognition, and imitation, can be achieved by robotics for autism [11].…”

Section: Introductionmentioning

confidence: 99%

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AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation

Yan

Lin

Wang

et al. 2023

Computational Intelligence and Neuroscience

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Computational models of emotions can not only improve the effectiveness and efficiency of human-robot interaction but also coordinate a robot to adapt to its environment better. When designing computational models of emotions for socially interactive robots, especially for robots for people with special needs such as autistic children, one should take into account the social and communicative characteristics of such groups of people. This article presents a novel computational model of emotions called AppraisalCloudPCT that is suitable for socially interactive robots that can be adopted in autistic rehabilitation which, to the best of our knowledge, is the first computational model of emotions built for robots that can satisfy the needs of a special group of people such as autistic children. To begin with, some fundamental and notable computational models of emotions (e.g., OCC, Scherer’s appraisal theory, PAD) that have deep and profound influence on building some significant models (e.g., PRESENCE, iGrace, xEmotion) for socially interactive robots are revisited. Then, a comparative assessment between our AppraisalCloudPCT and other five significant models for socially interactive robots is conducted. Great efforts have been made in building our proposed model to meet all of the six criteria for comparison, by adopting the appraisal theories on emotions, perceptual control theory on emotions, a component model view of appraisal models, and cloud robotics. Details of how to implement our model in a socially interactive robot we developed for autistic rehabilitation are also elaborated in this article. Future studies should examine how our model performs in different robots and also in more interactive scenarios.

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Section: A Social Robot For Autistic Rehabilitationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation

Yan

Lin

Wang

et al. 2023

Computational Intelligence and Neuroscience

Self Cite

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“…Since the foot positions of the six legs are already included in the set P, when the two states are compared, N is easy to determine. Next, based on the stability principle, discuss in several situations: (1) If N is greater than 3, M must be 2; (2) If N is 3 and the three legs to be adjusted are in the same group, M is 1, otherwise M is 2; (3) If N is 2, and the two legs to be adjusted are not adjacent, M is 1, otherwise M is 2; (4) If N is 1, M is 1; (5) If N is 0, M is 0. This way, M can be determined.…”

Section: Gait Transformation Schemementioning

confidence: 99%

“…With the advent of the artificial intelligence era, robots are more closely related to human society [1]. Compared with wheeled robots, legged robots have better terrain adaptivity and flexibility, which can complete specific tasks [2].…”

Section: Introductionmentioning

confidence: 99%

Straight Gait Research of a Small Electric Hexapod Robot

et al. 2021

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Gait is an important research content of hexapod robots. To better improve the motion performance of hexapod robots, many researchers have adopted some high-cost sensors or complex gait control algorithms. This paper studies the straight gait of a small electric hexapod robot with a low cost, which can be used in daily life. The strategy of “increasing duty factor” is put forward in the gait planning, which aims to reduce foot sliding and attitude fluctuation in robot motion. The straight gaits of the robot include tripod gait, quadrangular gait, and pentagonal gait, which can be described conveniently by discretization and a time sequence diagram. In order to facilitate the user to control the robot to achieve all kinds of motion, an online gait transformation algorithm based on the adjustment of foot positions is proposed. In addition, according to the feedback of the actual attitude information, a yaw angle correction algorithm based on kinematics analysis and PD controller is designed to reduce the motion error of the robot. The experiments show that the designed gait planning scheme and control algorithm are effective, and the robot can achieve the expected motion. The RMSE of the row, pitch, and yaw angle was reduced by 35%, 25%, and 12%, respectively, using the “increasing duty factor” strategy, and the yaw angle was limited in the range −3°~3° using the yaw angle correction algorithm. Finally, the comparison with related works and the limitations are discussed.

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“…In China, from 2014 to 2016, the incidence rate of children aged 6 to 12 years living in eight representative cities in China was estimated to be 0.7% ( 3 ). A common problem here is factors including the limited number of local and national rehabilitation facilities, a scarcity of practitioners, and different levels of rehabilitation training offered to children with ASD ( 4 ). Therapists must spend considerable time and energy creating rehabilitation training scenarios for children with ASD, and clinical treatment has the disadvantages of lengthy rehabilitation or therapy protocols and scenarios that cannot be replicated ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

Virtual reality technology enhances the cognitive and social communication of children with autism spectrum disorder

Zhao

Zhang²,

Lu³

et al. 2022

Front. Public Health

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ObjectiveWe aimed to explore the impact of using virtual reality technology to intervene in and encourage the developmental behavior areas of cognition, imitation, and social interaction in children with autism spectrum disorder.MethodsForty-four children with autism spectrum disorder were divided randomly into an intervention group and a control group, with each group consisting of 22 participants. Incorporating conventional rehabilitation strategies, virtual reality technology was used with the intervention group to conduct rehabilitation training in areas including cognition, imitation, and social interaction. The control group was provided conventional/routine clinical rehabilitation training. The children's cognitive development was evaluated before and 3 months after intervention.ResultsAfter intervention, the developmental abilities of both groups of children in the areas of cognition, imitation, and social interaction were improved over their abilities measured before the intervention (P < 0.05). However, post-intervention score differences between the two groups demonstrated that the intervention group levels were better than the control group levels only in the areas of cognition and social interaction (P < 0.05).ConclusionCombining virtual reality with conventional rehabilitation training improved the cognitive and social development of children with autism spectrum disorder and supported the goal of improving the rehabilitation effect.

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Attention shifting during child—robot interaction: a preliminary clinical study for children with autism spectrum disorder

Cited by 8 publications

References 16 publications

AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation

AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation

Straight Gait Research of a Small Electric Hexapod Robot

Virtual reality technology enhances the cognitive and social communication of children with autism spectrum disorder

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