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Related papers: Teaching Interaction using State Diagrams

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Facial expressiveness plays a crucial role in a robot's ability to engage and interact with children. Prior research has shown that expressive robots can enhance child engagement during human-robot interactions. However, many robots used in…

Robots are still limited to controlled conditions, that the robot designer knows with enough details to endow the robot with the appropriate models or behaviors. Learning algorithms add some flexibility with the ability to discover the…

Background: A growing amount of software is available to children today. Children use both software that has been explicitly developed for them and software for general users. While they obtain clear benefits from software, such as access…

Software Engineering · Computer Science 2021-01-08 Letizia Jaccheri , Sandro Morasca

Building on game design and education research, this paper introduces narrative-focused role-playing games as a way to promote visualization literacy in young children. Visualization literacy skills are vital in understanding the world…

Human-Computer Interaction · Computer Science 2020-09-01 Elaine Huynh , Angela Nyhout , Patricia Ganea , Fanny Chevalier

We introduce DrawTalking, an approach to building and controlling interactive worlds by sketching and speaking while telling stories. It emphasizes user control and flexibility, and gives programming-like capability without requiring code.…

Human-Computer Interaction · Computer Science 2024-08-07 Karl Toby Rosenberg , Rubaiat Habib Kazi , Li-Yi Wei , Haijun Xia , Ken Perlin

Node-link diagrams are widely used to facilitate network explorations. However, when using a graph drawing technique to visualize networks, users often need to tune different algorithm-specific parameters iteratively by comparing the…

Human-Computer Interaction · Computer Science 2019-10-10 Yong Wang , Zhihua Jin , Qianwen Wang , Weiwei Cui , Tengfei Ma , Huamin Qu

Soft object manipulation poses significant challenges for robots, requiring effective techniques for state representation and manipulation policy learning. State representation involves capturing the dynamic changes in the environment,…

Robotics · Computer Science 2024-10-31 Junjia Liu , Chenzui Li , Shixiong Wang , Zhipeng Dong , Sylvain Calinon , Miao Li , Fei Chen

Children with autism spectrum disorder (ASD) experience challenges in grasping social-emotional cues, which can result in difficulties in recognizing emotions and understanding and responding to social interactions. Social-emotional…

Human-Computer Interaction · Computer Science 2024-04-25 Yue Lyu , Pengcheng An , Huan Zhang , Keiko Katsuragawa , Jian Zhao

Interactive simulation toolkits come in handy when teaching macroeconomic models by facilitating an easy understanding of underlying economic concepts and offering an intuitive approach to the models' comparative statics. Based on the…

General Finance · Quantitative Finance 2020-08-07 Juan Dominguez-Moran , Rouven Geismar

Population aging and the ubiquity of technology in everyday life have made designing solutions for older adults a necessity. User-centered and participatory design approaches include elderly users in the software development process to some…

Educators frequently rely on diagrams to explain complex concepts during lectures, yet creating clear and complete visual representations in real time while simultaneously speaking can be cognitively demanding. Incomplete or unclear…

Human-Computer Interaction · Computer Science 2025-12-03 Suveen Ellawela , Sashenka Gamage , Dinithi Dissanayake

Consider learning a policy purely on the basis of demonstrated behavior -- that is, with no access to reinforcement signals, no knowledge of transition dynamics, and no further interaction with the environment. This *strictly batch…

Machine Learning · Statistics 2021-01-15 Daniel Jarrett , Ioana Bica , Mihaela van der Schaar

Large Language Models (LLMs) are increasingly being adopted as tools for learning; however, most tools remain text-only, limiting their usefulness for domains where visualizations are essential, such as mathematics. Recent work shows that…

Artificial Intelligence · Computer Science 2025-11-12 Vishal Kumar , Shubhra Mishra , Rebecca Hao , Rizwaan Malik , David Broman , Dorottya Demszky

We demonstrate model-based, visual robot manipulation of linear deformable objects. Our approach is based on a state-space representation of the physical system that the robot aims to control. This choice has multiple advantages, including…

Robotics · Computer Science 2020-10-07 Mengyuan Yan , Yilin Zhu , Ning Jin , Jeannette Bohg

Influence diagrams (IDs) are well-known formalisms extending Bayesian networks to model decision situations under uncertainty. Although they are convenient as a decision theoretic tool, their knowledge representation ability is limited in…

Logic in Computer Science · Computer Science 2020-07-02 Erman Acar , Rafael Peñaloza

Young people are increasingly exposed to adverse effects of data-driven profiling, recommending, and manipulation on social media platforms, most of them without adequate understanding of the mechanisms that drive these platforms. In the…

Computers and Society · Computer Science 2025-01-29 Henriikka Vartiainen , Nicolas Pope , Juho Kahila , Sonsoles López-Pernas , Matti Tedre

Creating formal models of interactive systems has wide reaching benefits, not only for verifying low-level correctness, but also as a tool for ensuring user interfaces behave logically and consistently. Despite this, tools for designing…

Software Engineering · Computer Science 2018-11-28 Nathaniel Watson , Steve Reeves , Paolo Masci

In the evolving landscape of education, robotics has emerged as a powerful tool for fostering creativity, critical thinking, and problem-solving skills among students of all ages. This innovative approach to learning seamlessly integrates…

Robotics · Computer Science 2023-12-12 Athanasios Karagounis

Unified Modeling Language (UML) Use Case and Class Diagrams are fundamental modeling notations in Software Engineering (SE) education due to their importance for requirements and model-based engineering, yet their relevance is…

Software Engineering · Computer Science 2026-04-27 Giacomo Garaccione , Riccardo Coppola , Luca Ardito

Using Reinforcement Learning (RL) in simulation to construct policies useful in real life is challenging. This is often attributed to the sequential decision making aspect: inaccuracies in simulation accumulate over multiple steps, hence…

Machine Learning · Computer Science 2017-06-09 Rika Antonova , Silvia Cruciani