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Related papers: Explorable Ideas: Externalizing Ideas as Explorabl…

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We build on theoretical foundations of tool-mediated learning, tool design, and human computer interaction to develop a framework for implicit scaffolding in learning environments. Implicit scaffolding employs affordances, constraints,…

Physics Education · Physics 2014-01-24 Noah S. Podolefsky , Emily B. Moore , Katherine K. Perkins

This paper presents the principles of ontology-supported and ontology-driven conceptual navigation. Conceptual navigation realizes the independence between resources and links to facilitate interoperability and reusability. An engine builds…

Information Retrieval · Computer Science 2007-05-23 Michel Crampes , Sylvie Ranwez

While previous work exists on how to conduct and disseminate insights from problem-driven visualization projects and design studies, the literature does not address how to accomplish these goals in transdisciplinary teams in ways that…

Navigating the vast scientific literature often starts with browsing a paper's abstract. However, when a reader seeks additional information, not present in the abstract, they face a costly cognitive chasm during their dive into the full…

Human-Computer Interaction · Computer Science 2024-04-17 Raymond Fok , Joseph Chee Chang , Tal August , Amy X. Zhang , Daniel S. Weld

Divergent thinking in the ideation stage of creative problem-solving demands that individuals explore a broad design space. Yet this exploration rarely follows a neat, linear sequence; problem-solvers constantly shift among searching,…

Human-Computer Interaction · Computer Science 2025-09-26 Yaqing Yang , Vikram Mohanty , Nikolas Martelaro , Aniket Kittur , Yan-Ying Chen , Matthew K. Hong

It has been a long-standing dream to design artificial agents that explore their environment efficiently via intrinsic motivation, similar to how children perform curious free play. Despite recent advances in intrinsically motivated…

Machine Learning · Computer Science 2022-11-29 Cansu Sancaktar , Sebastian Blaes , Georg Martius

Some instances of creative thinking require an agent to build and test hypothetical theories. Such a reasoner needs to explore the space of not only those situations that have occurred in the past, but also those that are rationally…

Artificial Intelligence · Computer Science 2013-02-28 Raj Bhatnagar

Although explainable computational creativity seeks to create and sustain computational models of creativity that foster a collaboratively creative process through explainability, there remains little to no work in supporting designers when…

Human-Computer Interaction · Computer Science 2023-08-21 Michael Clemens

If a robotic agent wants to exploit symbolic planning techniques to achieve some goal, it must be able to properly ground an abstract planning domain in the environment in which it operates. However, if the environment is initially unknown…

Artificial Intelligence · Computer Science 2022-04-11 Leonardo Lamanna , Luciano Serafini , Alessandro Saetti , Alfonso Gerevini , Paolo Traverso

Amid current social distancing measures requiring people to work from home, there has been renewed interest on how to effectively converse and collaborate remotely utilizing currently available technologies. On the surface, VR provides a…

Human-Computer Interaction · Computer Science 2020-07-07 Anna Bleakley , Vincent Wade , Benjamin R. Cowan

Speculative design uses provocative "what if?" scenarios to explore possible sociotechnical futures, yet lacks rigorous criteria for assessing the quality of speculation. We address this gap by reframing speculative design through an…

Human-Computer Interaction · Computer Science 2026-02-26 Botao Amber Hu

A creative idea is often born from transforming, combining, and modifying ideas from existing visual examples capturing various concepts. However, one cannot simply copy the concept as a whole, and inspiration is achieved by examining…

Computer Vision and Pattern Recognition · Computer Science 2023-06-01 Yael Vinker , Andrey Voynov , Daniel Cohen-Or , Ariel Shamir

Research and development in computer science and statistics have produced increasingly sophisticated software interfaces for interactive and exploratory analysis, optimized for easy pattern finding and data exposure. But design philosophies…

Human-Computer Interaction · Computer Science 2021-07-08 Jessica Hullman , Andrew Gelman

Outside-knowledge visual question answering is a challenging task that requires both the acquisition and the use of open-ended real-world knowledge. Some existing solutions draw external knowledge into the cross-modality space which…

Computer Vision and Pattern Recognition · Computer Science 2023-05-12 Qingyi Si , Yuchen Mo , Zheng Lin , Huishan Ji , Weiping Wang

This paper addresses the concept of materiality in virtual environments, which we define as being composed of objects that can influence user experience actively. Such virtual materiality is closely related to its physical counterpart,…

Human-Computer Interaction · Computer Science 2025-04-23 Ali Arya , Anthony Scavarelli , Dan Hawes , Luciara Nardon

Information retrieval (IR) research must understand and contend with the social implications of the technology it produces. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies,…

Information Retrieval · Computer Science 2025-04-01 Bhaskar Mitra

Contribution: This secondary study examines the literature on immersive learning frameworks and reviews their state of the art. Frameworks have been categorized according to their purpose. In addition, the elements that compose them were…

Computers and Society · Computer Science 2022-08-31 Filipe Arantes Fernandes , Claudia Susie Camargo Rodrigues , Eldânae Nogueira Teixeira , Cláudia Werner

Exploration is crucial in the design process and is known for its essential role in fostering creativity and enhancing design outcomes. Within design teams, exploration evolves into co-exploration, a collaborative and dynamic practice that…

Human-Computer Interaction · Computer Science 2025-10-03 Xinhui Ye , Joep Frens , Jun Hu

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about how people describe their data, either…

Human-Computer Interaction · Computer Science 2020-09-08 Alex Bigelow , Katy Williams , Katherine E. Isaacs

We are concerned with the question of how an agent can acquire its own representations from sensory data. We restrict our focus to learning representations for long-term planning, a class of problems that state-of-the-art learning methods…

Machine Learning · Computer Science 2022-05-05 Steven James , Benjamin Rosman , George Konidaris