English
Related papers

Related papers: Roboviz: A Game-Centered Project for Information V…

200 papers

Multiple-choice questions (MCQs) are a widely used educational tool, particularly in domains such as visualization literacy that require broad conceptual coverage and support diverse real-world applications. However, designing high-quality…

Human-Computer Interaction · Computer Science 2026-03-03 Zixin Chen , Yuhang Zeng , Sicheng Song , Yanna Lin , Xian Xu , Huamin Qu , Meng Xia

Working in complex industrial facilities requires spatial navigation skills that people build up with time and field experience. Training sessions consisting in guided tours help discover places but they are insufficient to become…

Human-Computer Interaction · Computer Science 2018-07-12 Arnaud Mas , Idriss Ismaël , Nicolas Filliard

Online programming communities provide a space for novices to engage with computing concepts, allowing them to learn and develop computing skills using user-generated projects. However, the lack of structured guidance in the informal…

Human-Computer Interaction · Computer Science 2024-12-10 Yunnong Chen , Yishu Shen , Ruiyi Liu , Xinyu Yu , Lingyun Sun , Liuqing Chen

Data visualizations are created and shared on the web at an unprecedented speed, raising new needs and questions for processing and analyzing visualizations after they have been generated and digitized. However, existing formalisms focus on…

Human-Computer Interaction · Computer Science 2022-04-05 Aoyu Wu , Wai Tong , Haotian Li , Dominik Moritz , Yong Wang , Huamin Qu

Machine Learning (ML) is becoming more prevalent in the systems we use daily. Yet designers of these systems are under-equipped to design with these technologies. Recently, interactive visualizations have been used to present ML concepts to…

Human-Computer Interaction · Computer Science 2020-09-15 Chelsea M. Myers , Jiachi Xie , Jichen Zhu

We present how to integrate Design Sprints and project-based learning into introductory visualization courses. A design sprint is a unique process based on rapid prototyping and user testing to define goals and validate ideas before…

Human-Computer Interaction · Computer Science 2021-10-01 Johanna Beyer , Yalong Yang , Hanspeter Pfister

Robot learning has emerged as a promising tool for taming the complexity and diversity of the real world. Methods based on high-capacity models, such as deep networks, hold the promise of providing effective generalization to a wide range…

Contribution: This article analyzes the learning and motivational impact of teacher-authored educational video games on computer science education and compares its effectiveness in both face-to-face and online (remote) formats. This work…

Computers and Society · Computer Science 2024-07-11 Daniel López-Fernández , Aldo Gordillo , Jennifer Pérez , Edmundo Tovar

Continually solving new, unsolved tasks is the key to learning diverse behaviors. Through reinforcement learning (RL), we have made massive strides towards solving tasks that have a single goal. However, in the multi-task domain, where an…

Machine Learning · Computer Science 2020-06-18 Yunzhi Zhang , Pieter Abbeel , Lerrel Pinto

Under the assumptions that (i) gamification consists of various types of users that experience game design elements differently; and (ii) gamification is deployed in order to achieve some goal in the broadest sense, we pose the gamification…

Human-Computer Interaction · Computer Science 2014-07-04 Michael Meder , Brijnesh-Johannes Jain

Understanding player behavior is fundamental in game data science. Video games evolve as players interact with the game, so being able to foresee player experience would help to ensure a successful game development. In particular, game…

Machine Learning · Statistics 2018-12-10 Anna Guitart , Pei Pei Chen , Paul Bertens , África Periáñez

The promise of multimodal models for real-world applications has inspired research in visualizing and understanding their internal mechanics with the end goal of empowering stakeholders to visualize model behavior, perform model debugging,…

Appropriate evaluation is a key component in visualization research. It is typically based on empirical studies that assess visualization components or complete systems. While such studies often include the user of the visualization,…

Human-Computer Interaction · Computer Science 2019-08-05 Daniel Weiskopf

In the last few years, serious games have become popular, with a consensus of the benefits for teaching cyber security awareness and education. However, there is still a lack of pedagogical driven methodologies and tools to support serious…

Cryptography and Security · Computer Science 2021-10-25 Stephen Hart , Basel Halak , Vladimiro Sassone

Training students in basic concepts of physics, such as the ones related to mass, volume, or density, is much more complicated than just stating the underlying definitions and laws. One of the reasons for this is that most students have…

Graphics · Computer Science 2024-01-31 Iuliia Zhurakovskaia , Jeanne Vézien , Cécile de Hosson , Patrick Bourdot

Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and monotonous training procedure to train both the system and the user. Considering many users struggle with effective control of MI-BCI systems, a more…

Human-Computer Interaction · Computer Science 2024-10-24 Fred Atilla , Marie Postma , Maryam Alimardani

The teaching innovation project SpaceRaceEdu: development of an educational multiplayer video game for self-study and self-assessment has been carried out under the INNOVA call of the Autonomous University of Madrid during the 2022-2023…

Computers and Society · Computer Science 2024-10-21 Juan Jesús Roldán Gómez , Cristina Alonso Fernández , Carlos Aguirre Maeso

We introduce RadGame, an AI-powered gamified platform for radiology education that targets two core skills: localizing findings and generating reports. Traditional radiology training is based on passive exposure to cases or active practice…

Video game playing is an extremely structured domain where algorithmic decision-making can be tested without adverse real-world consequences. While prevailing methods rely on image inputs to avoid the problem of hand-crafting state space…

Machine Learning · Computer Science 2024-09-24 Abhishek Jaiswal , Nisheeth Srivastava

Teaching systems physical tasks is a long standing goal in HCI, yet most prior work has focused on non collaborative physical activities. Collaborative tasks introduce added complexity, requiring systems to infer users assumptions about…

Artificial Intelligence · Computer Science 2026-04-13 Edward Kim , Daniel He , Jorge Chao , Wiktor Rajca , Mohammed Amin , Nishant Malpani , Ruta Desai , Antti Oulasvirta , Bjoern Hartmann , Sanjit Seshia
‹ Prev 1 3 4 5 6 7 10 Next ›