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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...

引用

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

Revolutionizing Programming Language Education with Generati...

引用

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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Five Bureaucratic Roles in the Age of Digital Transformation - Insights from Scandinavian Public Organizations 23rd

Five Bureaucratic Roles in the Age of Digital Transformation...

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23rd International Conference on Electronic Government (EGOV)

作者： Melin, Ulf Madsen, Christian Ostergaard Larsson, Karl Kristian Linkoping Univ Dept Management & Engn Informat Syst & Digitaliza S-58183 Linkoping Sweden IT Univ Copenhagen Res Ctr Govt IT DK-2300 Copenhagen Denmark Simula Metropolitan Ctr Digital Engn N-0164 Oslo Norway

ISBN: (纸本)9783031702730;9783031702747

The traditional street-level bureaucrat's (SLB's) role has undergone significant changes in the age of digital transformation. These changes have challenged Lipsky's description of the SLB. To address this, our study aims to analyze how the ongoing digital transformation influences the role of traditional SLB's, their work activities, and organization. The research question we ask is: How does digital transformation in the public sector influence the roles and work activities of traditional street-level bureaucrats? We have analyzed three large government agencies that administer public services in Scandinavia. We applied Nograsek & Vintar's framework as a sociotechnical analytical lens in our exploratory qualitative study of three large public organizations. Focusing people, work activities and processes, and enabling digital technologies, we have identified five bureaucratic roles: (1) The automated bureaucrat, (2) the self-servicing citizen, (3) the front-office employee, (4) the back-office employee, and (5) the specialized bureaucrat. While the SLB was an essential actor in the traditional street-level bureaucracy, these five roles are equally essential to a functioning contemporary bureaucracy. We argue that the five roles have greater explanatory power for understanding bureaucratic roles, including digital technologies, and contemporary ways of managing public services in the age of digital transformation.

关键词： Bureaucratic Roles Street-level Bureaucrats Digital Transformation

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Breaking Blockchain Rationality with Out-of-Band Collusion 27th

Breaking Blockchain Rationality with Out-of-Band Collusion

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8th Workshop on Advances in Secure Electronic Voting (Voting) / 4th Workshop on Coordination of Decentralized Finance (CoDecFin) / 3rd Workshop on Decentralized Finance (DeFi) / 7th Workshop on Trusted Smart Contracts (WTSC)

作者： Zhang, Haoqian Bastankhah, Mahsa Merino, Louis-Henri Estrada-Galinanes, Vero Ford, Bryan Ecole Polytechn Fed Lausanne EPFL Lausanne Switzerland

ISBN: (纸本)9783031488054;9783031488061

Blockchain systems often rely on rationality assumptions for their security, expecting that nodes are motivated to maximize their profits. These systems thus design their protocols to incentivize nodes to execute the honest protocol but fail to consider out-of-band collusion. Existing works analyzing rationality assumptions are limited in their scope, either by focusing on a specific protocol or relying on nonexisting financial instruments. We propose a general rational attack on rationality by leveraging an external channel that incentivizes nodes to collude against the honest protocol. Our approach involves an attacker creating an out-of-band bribery smart contract to motivate nodes to double-spend their transactions in exchange for shares in the attacker's profits. We provide a game theory model to prove that any rational node is incentivized to follow the malicious protocol. We discuss our approach to attacking the Bitcoin and Ethereum blockchains, demonstrating that irrational behavior can be rational in real-world blockchain systems when analyzing rationality in a larger ecosystem. We conclude that rational assumptions only appear to make the system more secure and offer a false sense of security under the flawed analysis.

关键词： Blockchain

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Complexities of Using Large Language Model Generative AI in Health Education and Robots 17th

Complexities of Using Large Language Model Generative AI in ...

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

作者： Tashiro, Jay Shiro Hung, Patrick C. K. Ontario Tech Univ Fac Business & IT Oshawa ON Canada

ISBN: (纸本)9789819744411;9789819744428

We describe the early stages of Artificial Intelligence (AI) research and future robotic development projects to study how and why to integrate Large Language Model (LLM) Generative AI (LLM-GAI) into educational software systems we have built during the past decade. Our current focus has been to study what we do not know about a variety of Natural Language Processing (NLP) tasks across a range of educational settings within the United States. As a prelude to large-scale research and writing grant proposals, we conducted thought experiments (often known as Gedanken experiments) to identify factors shaping the effective usage of LLM-GAI within inclusive-adaptive teaching-learning environments. While qualitative and non-experimental, we wanted to delineate the scope of problem areas to refine a model of an inclusive-adaptive-learning environment we have been developing during the past three years.

关键词： Adaptive Education Inclusive Education Large Language Model (LLM) Generative Artificial Intelligence (GAI) Robots

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

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

Investigating Learning Behaviors and Intervention Effectiven...

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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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Quantum Tonality: A Mathemusical Playground 9th

Quantum Tonality: A Mathemusical Playground

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9th International Conference on Mathematics and Computation in Music (MCM)

作者： Graben, Peter Beim Noll, Thomas Humboldt Univ Bernstein Ctr Computat Neurosci Berlin Germany Escola Super Mus Catalunya Dept Creacio & Teoria Mus Barcelona Spain

ISBN: (纸本)9783031606373;9783031606380

We adopt some basic ideas on quantum-theoretical modeling of tonal attraction and develop them further in an alternative direction. Fitting Gaussian Mixture Models (GMM) to the Krumhansl-Kessler (KK) probe tone profiles for static attraction opens the possibility to investigate the underlying wave function as the stationary ground state of an anharmonic quantum oscillator with a schematic Hamiltonian involving a perturbation potential. We numerically verify the fulfilment of the associated stationary Schrodinger equation and also inspect its excited states as a solution basis for the corresponding time-dependent Schrodinger equation. With their help we calculate the temporal evolution of any initial state. As an example, we study the dynamics of transpositions of the stationary KK wave function across Regener's line of fifths. This offers potential models for dynamic tonal attraction and also for the behavior of deflected key profiles within the Hamiltonian dynamics of a given tonality. Finally, we sketch further directions of investigation within this mathemusical experimental playground.

关键词： Quantum Theory Music Theory Pitch Class Profiles Krumhansl-Kessler Probetone Profiles Gaussian Mixture Models Quantum Harmonic Oscillator Schematic Hamiltonian

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