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Research on Immersive Virtual Reality Interactive Design for Dyeing and Weaving Process in Tang Dynasty 16th

Research on Immersive Virtual Reality Interactive Design for...

引用

16th International Conference on Virtual, Augmented and Mixed Reality (VAMR)

作者： Ge, Chenchen Wuhan Univ Technol 122 Luoshi Rd Wuhan Hubei Peoples R China

ISBN: (纸本)9783031610462;9783031610479

With the arrival of the digital era and the national promotion of non-heritage culture, traditional handicraft techniques are gradually becoming known to the public, and the dyeing and weaving crafts of the Tang Dynasty are famous for their unique technical standard and artistic value. However, due to the complexity and scarcity of the craft, there are certain difficulties in the traditional way of learning and preservation, and the development of immersive virtual reality technology provides an opportunity for the public to recognize and understand the Tang Dynasty dyeing and weaving craft. The greatest academic contribution of this paper is to reproduce and protect the traditional history and culture of China, to provide innovative interaction design concepts and to promote the application of virtual reality technology in the field of cultural heritage. First of all, through the methods of literature review and field study, this paper conducts an in-depth research on the dyeing and weaving craft of the Tang Dynasty, including its historical background, technical characteristics and artistic value, which is of great significance for the protection and education of history and culture. Through immersive virtual reality technology, the details and processes of Tang Dynasty dyeing and weaving craft can be reproduced. Through clear visual effects and dynamic interactive experience, users can feel the unique charm of Tang Dynasty dyeing and weaving craft immersively. This immersive experience can better convey the artistic value and aesthetic emotion in history and culture to users, and inspire their interest in traditional culture and awareness of protection. In addition, immersive virtual reality interaction design can also provide a new way for the promotion and dissemination of Tang Dynasty dyeing and weaving craft. Virtual reality technology can present the Tang Dynasty dyeing and weaving craft globally, so that more people can understand and appreciate the uniquen

关键词： Virtual Reality Tang Dynasty Dyeing and Weaving Interaction Design Heritage Communication Generation of meta smart city

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Investigating Learning Behaviors and Intervention Effectiveness of Students with Special Educational Needs 17th

Investigating Learning Behaviors and Intervention Effectiven...

引用

17th International Conference on Blended Learning. Intelligent Computing in Education (ICBL)

作者： Li, Xiaoyin Yu, Yang Cao, Jiannong Yang, Zhen-Qun Wang, Kaile Ng, Vincent To Yee Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China

ISBN: (纸本)9789819744411;9789819744428

Over the past decade, numerous studies and technologies have emerged exploring how to provide the most appropriate interventions to help students with special educational needs (SEN), who need assistance due to cognitive or developmental disabilities, to learn and achieve higher added value in school. In this work, we focus on data analysis to scrutinize the learning behavior and intervention effectiveness associated with the different types of SEN students. Specifically, we investigated the learning behaviors of students with special educational needs in terms of extracurricular activities (ECA) participation and prosocial behavior, based on data collected from a HongKong secondary school. We found that different types of disorders are associated with distinct learning behaviors. Moreover, the effectiveness of interventions varied across students with different disorders, indicating the need for individualized strategies in supporting these students.

关键词： Educational Data Analysis Special Educational Needs Individual Educational Plan Intervention

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Empowering Older Adults: A User-Centered Approach Combining iTV and Voice Assistants to Promote Social Interactions 1

引用

13th International Conference on Design, User Experience and Usability (DUXU)

作者： de Camargo, Juliana Duarte Silva, Telmo de Abreu, Jorge Ferraz Univ Aveiro Dept Commun & Art DeCA Aveiro Portugal

ISBN: (数字)9783031613562

ISBN: (纸本)9783031613555;9783031613562

Low digital literacy is classified by the United Nations (UN) and the World Health Organization (WHO) as one of the main factors in the social exclusion of seniors. Faced with this scenario, the two institutions put digital inclusion initiatives at the center of the debate. Projects and activities developed in this area are seen as ways of reducing isolation indicators and feelings of loneliness. To fill this gap, this study seeks to use smart speakers and televisions to empower older adults. The aim is for them to be able to contact their family and friends more easily, through a system that offers a simplified User experience (UX). The aim of this study is to help increase intergenerational connections through a system consisting of an application that sends notifications to the TV and a smart speaker. The whole process of devising the solution was based on the opinions/perceptions of the target audience. Firstly, 20 interviews were carried out with a group of older adults. Then, a focus group with six individuals helped clarify some perceptions and identify potential scenarios. This information supported the development of the web supporting platform, which was tested with a group of six older adults for 44 days in a real-life context. A gerontologist was subsequently interviewed so that she could evaluate the system before starting the final tests. The expert's perceptions were evaluated and changes were made so that the solution was as suitable as possible for the target audience. Next, an 82-year-old Portuguese man was invited to validate the process. The aim was to assess whether the testing procedure was the most appropriate before moving on to the final field tests. All the perceptions of the beta tester and the gerontologist are described throughout this paper. This experience has shown that the system's proactivity is a way of stimulating social interactions, as well as the ease of using voice commands to make calls and send messages.

关键词： iTV smart speaker voice assistants older adults social isolation social connections loneliness voice commands

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Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts 17th

Leveraging Deep Learning for Classifying Learner-Generated C...

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17th International Conference on Blended Learning. Intelligent Computing in Education (ICBL)

作者： Chen, Xieling Li, Zongxi Zou, Di Wang, Fu Lee Xie, Haoran Wong, Leung Pun Guangzhou Univ Sch Educ Guangzhou Peoples R China Lingnan Univ Sch Data Sci Hong Kong Peoples R China Lingnan Univ Ctr English & Addit Languages Hong Kong Peoples R China Hong Kong Metropolitan Univ Sch Sci & Technol Hong Kong Peoples R China Tung Wah Coll Informat Technol Serv Off Hong Kong Peoples R China

ISBN: (纸本)9789819744411;9789819744428

With the growing popularity of massive open online courses (MOOCs), there are many chances to analyze student-generated assessments of course content to learn more about the experiences of learners. Unstructured textual data is typically subjected to manual analysis for qualitative evaluation, which produces a limited knowledge of learners' experiences. This study looked into the use of a convolutional neural networks-bidirectional long short-term memory network (CNN-BiLSTM) hybrid neural network model to automatically classify significant content in student-written course evaluation documents. Nine categories: "Platforms and tools", "Overall evaluation", "Course introduction", "Course quality", "Learning resources", "Instructor", "Learner", "Relationship", "Process", and "Assessment" were successfully recognized by the artificial neural network-based model. Using a well-established coding framework, an annotated dataset of learner-generated course evaluations was built, and 8,588 MOOC review words from Class Central were analyzed to assess the model's performance. The CNN-BiLSTM model performed better than the other models when compared to the baseline techniques. It obtained an overall F1 score of 0.7563, an accuracy score of 0.807, a recall score of 0.7552, and a precision score of 0.7612. TheCNN-BiLSTM model quickly and efficiently extracts semantic information from contexts by comprehending the local and global features of learner-generated course evaluation texts. With this knowledge, learner-generated course assessments can be managed more effectively, which could improve communication between teachers and students.

关键词： learner-generated content automatic classification deep learning course evaluation

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Short and Long Term Vessel Movement Prediction for Maritime Traffic 1

引用

18th International Conference on Critical Information Infrastructures Security (CRITIS)

作者： Farahnakian, Farshad Farahnakian, Fahimeh Sheikh, Javad Nevalainen, Paavo Heikkonen, Jukka Univ Turku Dept Comp Turku 20500 Finland

ISBN: (数字)9783031621390

ISBN: (纸本)9783031621383;9783031621390

In maritime traffic management, the precise prediction of vessel trajectories is paramount, given the industry's substantial dependence on vessel transportation for the transport of commodities, passengers, and energy resources. This study proposes two innovative prediction methodologies (short-term and long-term) for vessel movements. Furthermore, we introduce a novel evaluation metric designed to quantitatively assess the efficacy of the proposed short-term prediction method in forecasting vessel trajectories. The presented methodologies were empirically tested, employing two-month Automatic Identification System (AIS) data collected from the Baltic Sea to examine their performance. Preliminary experimental outcomes indicate a superior level of accuracy embodied in the short-term prediction method. On the other hand, the long-term prediction method demonstrated enhanced performance metrics in the context of computational speed and memory utilization. These observations underscore the potential of the proposed methodologies to amplify efficiency and augment safety standards in marine traffic management.

关键词： Maritime Traffic Vessel Movement Prediction Intelligent Transportation System Machine Learning Neural Networks

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Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-Playing Games 12th

Skill Check: Some Considerations on the Evaluation of Gamema...

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12th International Conference on Games and Learning Alliance (GALA)

作者： Gongora, Santiago Chiruzzo, Luis Mendez, Gonzalo Gervas, Pablo Univ Republica Montevideo Uruguay Univ Complutense Madrid Madrid Spain

ISBN: (纸本)9783031490644;9783031490651

In role-playing games a Game Master (GM) is the player in charge of the game, who must design the challenges the players face and narrate the outcomes of their actions. In this work we discuss some challenges to model GMs from an Interactive Storytelling and Natural Language Processing perspective. Following those challenges we propose three test categories to evaluate such dialogue systems, and we use them to test ChatGPT, Bard and OpenAssistant as out-of-the-box GMs.

关键词： Role-playing Games Natural Language Processing Interactive Storytelling Computational Creativity Dialogue Systems

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Teacher-Mediated and Student-Led Interaction with a Physics Simulation: Effects on the Learning Experience 19th

Teacher-Mediated and Student-Led Interaction with a Physics ...

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19th European Conference on Technology Enhanced Learning (EC-TEL)

作者： Magkouta, Maria Ioanna La Scala, Jeremy Farah, Juan Carlos Michailidi, Emily Gillet, Denis Ecole Polytech Fed Lausanne Vaud Switzerland Univ Crete Rethimnon Greece

ISBN: (纸本)9783031723148;9783031723155

computer simulations are often used as support material for science education, as they can engage students through inquiry-based learning, promote their active interaction in the experimentation phase, and help them visualize abstract concepts. For instance, interactive simulations developed by the PhET Interactive Simulations Project are being increasingly used in K-12 physics education. These simulations provide different levels of interaction to scaffold how students are exposed to the content embedded in the simulations. In a classroom setting, students can interact directly with the simulation (changing the parameters themselves) or indirectly via the teacher, who controls the simulation in front of the class (guiding the interaction through questions). Although researchers have investigated the effects of differences in interaction levels on learning outcomes, fewer studies explore how indirect interaction with the simulation compares to when students interact directly with the simulation. To address this question, we conducted a quasi-experimental study with 34 primary school students, examining the effects of direct versus indirect interaction using a simulation on sound propagation. Students in both groups were asked to produce drawings and explanations to assess their understanding of the material both before and after our intervention. A quantitative analysis comparing the learning outcomes of the two conditions did not yield significant differences, suggesting that both groups achieved comparable short-term learning gains. However, our findings suggest that there could be cognitive understanding differences between conditions. We discuss implications for further research on how to best integrate simulations into science lessons at the primary school level.

关键词： science Education computer Simulation Inquiry-Based Learning Physics Primary School

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Revolutionizing Programming Language Education with Generative AI: Knowledge Enrichment and Adaptive Learning/Teaching Framework 8th

Revolutionizing Programming Language Education with Generati...

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8th International Conference on Emerging Technologies for Education (SETE)

作者： Khiem, H. G. Khoi, L. Q. Triet, M. N. Phuc, N. T. Khoa, T. D. Hien, N. Q. Tung, L. K. Nam, T. B. Vinh, N. T. Kha, N. H. Thuan, Q. T. Bang, L. K. Minh, N., V Ngan, N. T. K. Khanh, H., V FPT Univ Can Tho Vietnam FPT Polytech Can Tho Vietnam

ISBN: (纸本)9789819742455;9789819742462

The digital era, marked by swift advancements in artificial intelligence (AI), has reshaped the educational landscape, particularly in e-learning platforms and digital assistants. While initial forays into AI-enhanced education relied on static algorithms, the evolving needs of global learners demand more dynamic solutions. This paper introduces the Knowledge Enrichment and Adaptive Learning/Teaching Framework (KEALTF), a transformative approach that marries cutting-edge technologies with intricate data preparation. Designed to offer a dynamic educational experience, this framework leverages tools such as ***, MongoDB, and advanced AI libraries, including ChatGPT. By ensuring a holistic and synergistic learning environment, KEALTF aims to redefine the future of programming language education.

关键词： Programming Language Learning Generative AI Adaptive Education Artificial Intelligence in Education Personalized Learning

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Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction 13th

Exploring a Behavioral Model of "Positive Friction" in Human...

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13th International Conference on Design, User Experience and Usability (DUXU)

作者： Chen, Zeya Schmidt, Ruth IIT Inst Design Chicago IL 60616 USA

ISBN: (纸本)9783031613524;9783031613531

Designing seamless, frictionless user experiences has long been a dominant trend in both applied behavioral science and artificial intelligence (AI), in which the goal of making desirable actions easy and efficient informs efforts to minimize friction in user experiences. However, in some settings, friction can be genuinely beneficial, such as the insertion of deliberate delays to increase reflection, preventing individuals from resorting to automatic or biased behaviors, and enhancing opportunities for unexpected discoveries. More recently, the popularization and availability of AI on a widespread scale has only increased the need to examine how friction can help or hinder users of AI;it also suggests a need to consider how positive friction can benefit AI practitioners, both during development processes (e.g., working with diverse teams) and to inform how AI is designed into offerings. This paper first proposes a 'positive friction' model that can help characterize how friction is currently beneficial in user and developer experiences with AI, diagnose the potential need for friction where it may not yet exist in these contexts, and inform how positive friction can be used to generate solutions, especially as advances in AI continue to be progress and new opportunities emerge. It then explores this model in the context of AI users and developers by proposing the value of taking a hybrid 'AI+human' lens, and concludes by suggesting questions for further exploration.

关键词： Friction Behavioral design Artificial intelligence Behavioral science Human-AI interaction

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A Study to Prevent People from Using a Smartphones at Bedtime with ASMR

A Study to Prevent People from Using a Smartphones at Bedtim...

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Conference on Human Interface and the Management of Information Thematic Area (HIMI) Held as Part of the 26th International Conference on Human-computer Interaction (HCII)

作者： Takahara, Madoka Nishimura, Shunsuke Hattori, Shun Ryukoku Univ Kyoto Japan Univ Shiga Prefecture Hikone Japan

ISBN: (纸本)9783031601064;9783031601071

With the widespread use of smartphones, smartphone addiction has become a social problem. In addition, people who are absorbed in cell phones, e-mail, and games after going to bed wake up and stay up late. Therefore, in this study, we developed a system that restricts smartphone usage before bedtime using an independent sensory climax response (ASMR) to prevent the use of a smartphone before bed to address the above problem. This study investigated the effectiveness of this system in preventing smartphone use before bedtime.

关键词： ASMR Smartphone-in-bed Smartphone Addiction

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