Parents’ Evaluation of Interaction Between Robots and Children with Neurodevelopmental Disorders

Andreeva, Anna; Lekova, Anna; Simonska, Miglena; Tanev, Tanio

doi:10.1007/978-981-19-3112-3_45

Cited by 3 publications

(8 citation statements)

References 12 publications

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“…We plan to integrate the audio input to GPT-J into HRI within the speech language therapy system reported in [3]. It wires robots and services for speech language intervention in Node-RED.…”

Section: Model Validation Results and Discussionmentioning

confidence: 99%

“…The control systems of both robots read the Nao memory in one-second interval in order to trigger and synchronize their interactions. NAO reads and writes into its memory via python scripts inside Choregraphe (Softbank application for accessing NAOqi APIs via graphical language) or from a Node-Red node [3].…”

Section: Programmable Humanoid Robotsmentioning

confidence: 99%

“…Although they transfer children from the role of a spectator of the surrounding world into an active participant, their application is still limited, possibly due to lack of workable verbal interaction with humans. In the frame of the ongoing H2020 Project CybSPEED under Grant 777720EU we performed research experiments with a Speech and Language Therapy (SLT) system assisted by HRs to provide SLT intervention for children with communication disorders [3]. The obstacles we faced concerned the levels of robots' verbal interactions.…”

Section: Introductionmentioning

confidence: 99%

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Making humanoid robots teaching assistants by using natural language processing (NLP) cloud-based services

Lekova¹,

Tsvetkova²,

Tanev³

et al. 2022

J. mechatron., artif. intell., eng.

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Humanoid robots have a substantial potential to serve as teaching and social assistants. However, the expectations of the children from robots to interact like humans are huge. This study presents a general model for understanding the natural language in human-robot interaction by applying Generative Pre-trained Transformer (GPT) language models as a service in the Internet of Things. Thus, the physical presence of the robot can help in fine-tuning the GPT model by prompts derived from the environmental context and subsequent robot actions for embodiment understanding of the GPT outputs. The model uses web or cloud services for Natural Language Processing (NLP) to produce and play human-like text, question answering or text generation. Verbal questions are processed either via a local speech recognition software or via a Speech-to-Text (STT) cloud service. The converted question into machine-readable code is sent to one of the GPT language models with zero- or few-shot learning prompts. GPT-J model has been tested and deployed either in the web or cloud with options for varying the parameters for controlling the haphazardness of the generated text. The robot produces human-like text by using Text-to-Speech (TTS) cloud services that convert the response into audio format rendered on the robot to be played. Useful requirements how the model to be used in order to be feasible were determined based on the evaluation of the outputs given from the different NLP and GPT-J web or cloud-services. We designed and implemented the model in order to be used by a humanoid NAO-type robot in the speech language therapy practice, however it can be used for other open-source and programmable robots and in different contexts.

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Section: Model Validation Results and Discussionmentioning

confidence: 99%

Section: Programmable Humanoid Robotsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Making humanoid robots teaching assistants by using natural language processing (NLP) cloud-based services

Lekova¹,

Tsvetkova²,

Tanev³

et al. 2022

J. mechatron., artif. intell., eng.

Self Cite

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Section: Participants' Role and Behaviormentioning

confidence: 99%

“…There are four participants in this scenario, a speech and language therapist (control the game), a social robot (instructor-Nao), a social robot EmoSan (playmate), and a child with neurodevelopmental disorders (playmate). Age 3-10 years old Activity description [60], page 491 Robot configuration and mode of operation A social robot NAO, a social robot EmoSan. Used software NAOqi software v.2.8.6.23 and Python 2.7.…”

Section: Participants' Role and Behaviormentioning

confidence: 99%

Exploring the Potential of Social Robots for Speech and Language Therapy: A Review and Analysis of Interactive Scenarios

et al. 2023

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The use of innovative technology in the field of Speech and Language Therapy (SLT) has gained significant attention nowadays. Despite being a promising research area, Socially Assistive Robots (SARs) have not been thoroughly studied and used in SLT. This paper makes two main contributions: firstly, providing a comprehensive review of existing research on the use of SARs to enhance communication skills in children and adolescents. Secondly, organizing the information into tables that categorize the interactive play scenarios described in the surveyed papers. The inclusion criteria for play scenarios in the tables are based only on their effectiveness for SLT proven by experimental findings. The data, systematically presented in a table format, allow readers to easily find relevant information based on various factors, such as disorder type, age, treatment technique, robot type, etc. The study concludes that the despite limited research on the use of social robots for children and adolescents with communication disorders (CD), promising outcomes have been reported. The authors discuss the methodological, technical, and ethical limitations related to the use of SARs for SLT in clinical or home environments, as well as the huge potential of conversational Artificial Intelligence (AI) as a secondary assistive technology to facilitate speech and language interventions.

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Media Literacy and Assistive Technologies for Empowerment in Autism

Tkaczyk

2023

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Social Inclusion maybe even more challenging for those who experience difficulties with social communication as is characteristic of Autism Spectrum Conditions (ASC). Advancing Social Inclusion through Technology and EmPowerment (a-STEP) is an European Union funded COST Action comprising of an interdisciplinary consortium of researchers, practitioners, service providers, educators, developers and people with disability from 35 countries. a-STEP is dedicated to making accessible and sustainable AT available to those that need it especially those with ASC. Members of a-STEP have demonstrated in this book how AT can be powerfully deployed across education, higher education and in the workplace to increase social inclusion and empowerment. They joined a group of scholars that also approached, in a broad manner, how media literacy fosters an active and engaged citizenship in an increasing digitized society. The book will be of interest to parents, educators, researchers, service providers and the autism community.Prof. Geraldine Leader (a-STEP, Chair) Dr. Zeynep Sahin Timar (a-STEP, Vice-Chair) 1 https://www.a-step-action.eu/

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Parents’ Evaluation of Interaction Between Robots and Children with Neurodevelopmental Disorders

Cited by 3 publications

References 12 publications

Making humanoid robots teaching assistants by using natural language processing (NLP) cloud-based services

Making humanoid robots teaching assistants by using natural language processing (NLP) cloud-based services

Exploring the Potential of Social Robots for Speech and Language Therapy: A Review and Analysis of Interactive Scenarios

Media Literacy and Assistive Technologies for Empowerment in Autism

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