Physical education system and training framework based on human–computer interaction for augmentative and alternative communication

wenjuan, Hu; Premalatha, R.; Aiswarya, R.S.

doi:10.1007/s10772-021-09942-9

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…With the fast development of interactive systems like chatbots in various domains (Sarikaya, 2017;Tulshan et al, 2019;Wenjuan et al, 2022), Google assistance, Apple Siri, the machines have able to gauge the human language efficiently. The usefulness of these agents was at peak during pandemic when the life was restricted without human assistance for any problem.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: The Context-based approach of Slot Label Creation and Slot Filling for Interactive Systems

Magoo

Singh

2023

Preprint

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Slot-filling is considered one of the most important components of task-based interactive systems. The main challenge in slot filling is to assign a semantic label to each text in the utterance which is further useful for generating the response by the interactive system. Another challenge is the non-availability of extensive labeled data. Thus in this research, we primarily focus on developing two approaches namely (i) automatic slot identification through IOB labeling for slot labels creation and preparing a labeled dataset (ii) a self-learning based model where the slot labels are created in step (i) are predicted for an untrained query from the same or different domains. We use BI-LSTM with Elmo Embedding for our proposed frameworks with POS Tags to generate slot-independent tags and label descriptions for slot labeling. We applied and compared our model on the SNIPS and Mobile service provider dataset through the F1 score and analyzed that the efficiency of self-learning-based models highly depends upon the quality and correlation among different domains of the same dataset.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: The Context-based approach of Slot Label Creation and Slot Filling for Interactive Systems

Magoo

Singh

2023

Preprint

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“…It addresses the usability limitations, lack of humanization, lack of interest, and emotional care observed in conventional products of a similar nature. The design meets the actual needs of users for this product in the foreseeable future [28][29][30].…”

Section: Product Layer Designmentioning

confidence: 92%

“…It addresses the usability limitations, l manization, lack of interest, and emotional care observed in conventional pro similar nature. The design meets the actual needs of users for this product i seeable future [28][29][30]. When users see the camera, screen, speaker port, and printing area, their first impression may not entirely grasp the nature of the product.…”

Section: Product Layer Designmentioning

confidence: 92%

Evaluation of a Smart Audio System Based on the ViP Principle and the Analytic Hierarchy Process Human–Computer Interaction Design

Huang,

Li,

Sadad

2024

Applied Sciences

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The current limitations of user–product interaction with smart speakers have spurred the proposal of a model to circumvent these challenges. We used the ViP design principle to redefine the user’s approach to interacting with the product. Throughout the deconstruction and design stages, we explored the structure and function of the conventional product across three layers: the product layer, interaction layer, and context layer using three models. We used the hierarchical analysis method to effectively quantify the design factors affecting user experience and identify the key design factors. This approach enabled us to contextualize the smart audio system, explore the interaction dynamics between the product and the user, and provide valuable insights on designing new products. A questionnaire method was used to survey 67 users, and a reliability test was conducted to ensure the validity of the questionnaire v (Cronbach’s coefficient α = 0.868). A pairwise comparison of factors was conducted on a 1–9 scale, with weights determined through the analytic hierarchy process (AHP). The combination of the ViP design principle and hierarchical analysis presents a novel and objective paradigm to guide designers to customize product characteristics (design attributes) to enhance user human–computer interaction experience. We validated the feasibility of the innovative design approach using the smart speaker model, offering insights for research on designing similar products.

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“…It additionally has the potential to comprehend how humans function and respond to diverse circumstances. In accordance with a thorough overview of the academic English class in the Mobile learning platform amended version (such as the organisation of basic principles of recent adaptations), a skin colour allocation prototype for colour image pre -processing is established in [11] using a regulation testing regime. This model serves as a warranty and assistance for the education system and student achievement review process.…”

Section: Related Workmentioning

confidence: 99%

Optimization Analysis of AI Intelligent English Teaching Strategies Based on Computer Virtual Reality Technology

2024

jes

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The Internet of Things and other technology breakthroughs have a big impact on how English is taught (IoTV). The investigation of the actual English teaching process and the identification of student features come first. In order to use the interpolation technique with the student image-based feature detection method, we investigate the IoTV reform. As a result, we find a clever algorithm for IoTV that recognises student features more effectively. Artificial intelligence (AI) is the design technique used to create the intelligence algorithm for pupil feature recognition. A comprehensive multifunctional human-computer interaction system utilizes a variety of input and output streams. In addition to the standard computer keyboard, cursor clicking, and screen touching, the most recent speech and facial recognition technology can be employed for data input. Students learned to orally interact with the robot and act as a guide to various destinations. The Multimodal Interaction System for English Education (MMIEE) is an investigation into the use of network and artificial intelligence (AI) in teaching. Recurrent neural network (Rein RNN)-based Reinforced learning is utilized for the perpectual evaluation model to categorize the questions posed by teachers in terms of their content and kind, and to conduct experimental investigation. The results show that the proposed Rein_RNN model achieves 98.6% of accuracy in 4.3sec of mean evaluation time.

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Physical education system and training framework based on human–computer interaction for augmentative and alternative communication

Cited by 10 publications

References 21 publications

RETRACTED: The Context-based approach of Slot Label Creation and Slot Filling for Interactive Systems

RETRACTED: The Context-based approach of Slot Label Creation and Slot Filling for Interactive Systems

Evaluation of a Smart Audio System Based on the ViP Principle and the Analytic Hierarchy Process Human–Computer Interaction Design

Optimization Analysis of AI Intelligent English Teaching Strategies Based on Computer Virtual Reality Technology

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