Pilot corpus of child-robot interaction in therapeutic settings

Gnjatović, Milan; Tasevski, Jovica; Miskovic, Dragisa; Savić, S.; Borovać, Branislav; Mikov, Aleksandra; Krasnik, Rastislava

doi:10.1109/coginfocom.2017.8268252

Cited by 11 publications

(3 citation statements)

References 11 publications

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“…[29]. The conversational humanoid robot MARKO [34] is an example of a rehabilitation robot for therapeutic exercises for children with cerebral palsy. Applying robotics in mental health is also an active research area [35] and targets topics such as autism spectrum disorder, activity engagement and physical exercise, dementia or schizophrenia with varied levels of intelligence endowed among different projects.…”

Section: Intelligent Agent Definitionmentioning

confidence: 99%

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

O’Connor

Kupper²,

Heavin

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Within the next decade, robots (intelligent agents that are able to perform tasks normally requiring human intelligence) may become more popular when delivering healthcare services to patients. The use of robots in this way may be daunting for some members of the public, who may not understand this technology and deem it untrustworthy. Others may be excited to use and trust robots to support their healthcare needs. It is argued that (1) context plays an integral role in Information Systems (IS) research and (2) technology demonstrating anthropomorphic or system-like features impact the extent to which an individual trusts the technology. Yet, there is little research which integrates these two concepts within one study in healthcare. To address this gap, we develop a theoretical framework that considers trusting intentions towards robots based on the interaction of humans and robots within the contextual landscape of delivering healthcare services. This article presents a theory-based approach to developing effective trustworthy intelligent agents at the intersection of IS and Healthcare.

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Section: Intelligent Agent Definitionmentioning

confidence: 99%

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

O’Connor

Kupper²,

Heavin

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Some empirical case studies across the globe demonstrated some very successful robots in rehabilitation. The list includes Zora Robot for elderly care services (Tuisku et al, 2018), SAR the Socially Assisted Robot for children's therapy sessions (Carrillo et al, 2018), SLT the Speech-Language Robotic Therapist for improving cerebral palsy and communication disorders in children (Ochoa-Guaraca (2017) and MAKRO Robot for therapeutic exercises for children with cerebral palsy and similar movement disorders (Gnjatovic et al, 2018). These cognitive Robot-Patient interactions for cognitive and speech therapies seem to be limited to elderly care or pediatric applications.…”

Section: Can Robots Bring Your Life Back? the Controversial And Recommendationsmentioning

confidence: 99%

Can a Robot Bring Your Life Back? A Systematic Review for Robotics in Rehabilitation

Chew

Turner

2019

Robotics in Healthcare

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Stroke is a leading cause of disability in the world and the use of robots in rehabilitation has become increasingly common. The Fourth Industrial Revolutions has created a novel and wide range of options for the involvement of computer-guided and artificially intelligent machines to be used in rehabilitation. In this chapter we critically review some of the literature on the use of robots in rehabilitation, and emphasize the diversity of approaches in this burgeoning field. We argue that there is a need to consolidate interdisciplinary evidence on robotics and rehabilitation in a systematic way, as the alternative is to have a literature that continues to grow, following the interests of various specialists, but without offering a synoptic assessment of what is available to medical specialists and patients. A literature review using Scopus and Web of Science, coupled with the Briggs Institute's Critical Appraisal Tool: Checklist for Case Reports was conducted. The two databases were systematically searched using inter-disciplinary keywords in Feb 2019. An initial search of the databases produced 9,894 articles. After rigorous reviews, 35 articles were screened and selected for further interpretation. We examined the current studies on the efficiency and effectiveness of the robot interventions and produced a taxonomy of the review. An original finding of the current robotics in rehabilitation landscaping are critical presented with recommendations and concluding remarks concerning interdisciplinary impact.

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“…CogInfoCom covers several disciplines appearing in applications and research areas also. CogInfoCom is available technology from socio-cognitive ICT [55][56][57][58][59][60][61][62][63][64][65] to cognitive aided engineering [66][67][68][69][70][71][72][73][74][75][76][77] and its related aspects in terms of online collaborative systems and virtual reality solutions [78][79][80], teaching-learning [81][82][83][84][85][86] and human cognitive interfaces such as braincomputer interfaces (BCIs) [87][88][89][90][91][92] and medicals [93][94][95][96].…”

Section: Human-computer Interfaces and Cognitive Infocommunicationmentioning

confidence: 99%

Examining the Learning Efficiency by a Brain-Computer Interface System

2018

APH

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Brain research is one of the most significant research areas of the last decades, in which many developments and modern engineering technologies are applied. The electroencephalogram (EEG)-based brain activity observation processes are very promising and have been used in several engineering research fields. Objective: The main goal of this research was to develop a Brain-Computer Interface (BCI) system to observe the level of vigilance calculated by Think Gear-ASIC Module (TGAM1) technology and to evaluate the output with learning efficiency tests applied in cognitive neuroscience. Methods: The performance of the BCI system is evaluated in a comparative study. The BCI system was tested by thirty-two test subjects and the attention level output was compared by the Psychology Experiment Building Language's (PEBL's) Corsi block test (P CORSI) and PEBL's Ebbinghaus procedure (P EBBINGHAUS) tasks. Results: Using the BCI, we have shown statistically significant results between the BCI and the conventional cognitive neuroscience tests. The correlation between the tests and the average attention of the BCI was slightly strong for P CORSI Total Score (r=.63, p<.01 (2-tailed) and slightly strong for P EBBINGHAUS Total Correct (r=-.71, p<.01 (2-tailed). The average level of attention measured by the BCI system during the P CORSI test was 49.00%, while in case of the P EBBINGHAUS test it was 52.41% on all samples. Conclusion: The developed BCI system has a significant correlation with P CORSI and P EBBINGHAUS cognitive neuroscience tests. The BCI system is capable of observing attentional vigilance continuously. Significance: The developed BCI system is applicable to observe vigilance level in realtime while the level of attention depends on activities.

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Pilot corpus of child-robot interaction in therapeutic settings

Cited by 11 publications

References 11 publications

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

Can a Robot Bring Your Life Back? A Systematic Review for Robotics in Rehabilitation

Examining the Learning Efficiency by a Brain-Computer Interface System

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