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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“…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%

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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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Section: Product Layer Designmentioning

confidence: 92%

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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“…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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“…For the problem of physical education teaching for students with movement disorders, which is challenging to deal with in this model, human-computer interaction technology is adopted to construct a physical education teaching communication model. He discussed the characteristics and advantages of the model and finally compared the model with the common physical education interactive interface [7]. Adem and his team reviewed in detail the impact and harm caused by the rapid spread of COVID-19 in various fields in recent years.…”

Section: Literature Reviewmentioning

confidence: 99%

Philosophical Research on Enterprise Innovation Ecology Based on a Human–Computer Interaction Mental Model

Dong

2023

Sustainability

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Enterprise innovation ecology plays a vital role in the operation and development of enterprises. It can enable enterprises to have benign and sustainable progress space in action. At the same time, it can also make the innovation ability of enterprises grow unprecedentedly, which is a crucial factor related to the survival and lifeline of enterprises. However, enterprise managers are often too immersed in concept innovation and structural optimization in the actual innovation and ecological construction of enterprises. Still, they do not pay attention to the problems in actual construction. This would cause the actual operation of the system to be restricted by key influencing factors such as environmental protection policies, making it difficult to achieve effective progress. In this regard, the purpose of this paper is to analyze and discuss the enterprise innovation ecological philosophy based on the human–computer interaction mental model. Therefore, this paper comprehensively considers four key factors that affect the construction of enterprise innovation ecology, namely, the promotion of enterprise technology, the competitiveness of enterprise market, the innovation characteristics of enterprises, and the environmental constraints of innovation ecology, and improves and perfects the innovation ecosystem from these factors. Finally, an efficient ecological model of enterprise innovation was designed, and the scientific construction was carried out through the human–computer interaction mental model combining human–computer interaction technology and cognitive psychology. At the same time, the model is applied to the actual enterprise operation, and the naive Bayesian algorithm is adopted to optimize the relevant performance of the algorithm model. The experimental results showed that the highest sample accuracy of the algorithm reaches 92.9%, which greatly improved the operation efficiency of enterprise innovation ecological construction.

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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

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

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

Philosophical Research on Enterprise Innovation Ecology Based on a Human–Computer Interaction Mental Model

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