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Collective design and innovation are crucial in organizations. To investigate how the collective design and innovation processes would be affected by the diversity of knowledge and background of collective individual members, we conducted…

Social and Information Networks · Computer Science 2021-10-19 Yiding Cao , Yingjun Dong , Minjun Kim , Neil G. MacLaren , Ankita Kulkarni , Shelley D. Dionne , Francis J. Yammarino , Hiroki Sayama

Knowledge workers such as healthcare information professionals, legal researchers, and librarians need to create and execute search strategies that are comprehensive, transparent, and reproducible. The traditional solution is to use…

Information Retrieval · Computer Science 2022-05-10 Tanja Svarre , Tony Russell-Rose

Visual exploration of high-dimensional real-valued datasets is a fundamental task in exploratory data analysis (EDA). Existing methods use predefined criteria to choose the representation of data. There is a lack of methods that (i) elicit…

Machine Learning · Statistics 2021-11-08 Kai Puolamäki , Emilia Oikarinen , Bo Kang , Jefrey Lijffijt , Tijl De Bie

This paper defines, analyzes, and discusses the emerging genre of visualization atlases. We currently witness an increase in web-based, data-driven initiatives that call themselves "atlases" while explaining complex, contemporary issues…

Human-Computer Interaction · Computer Science 2024-08-15 Jinrui Wang , Xinhuan Shu , Benjamin Bach , Uta Hinrichs

The process of design and development of virtual environments can be supported by tools and frameworks, to save time in technical aspects and focusing on the content. In this paper we present an academic framework which provides several…

Graphics · Computer Science 2013-06-06 Salvatore Catanese , Emilio Ferrara , Giacomo Fiumara , Francesco Pagano

We delineate the development of a mind-mapping system designed concurrently for both VR and desktop platforms. Employing an iterative methodology with groups of users, we systematically examined and improved various facets of our system,…

Human-Computer Interaction · Computer Science 2024-03-26 Ying Yang , Tim Dwyer , Zachari Swiecki , Benjamin Lee , Michael Wybrow , Maxime Cordeil , Teresa Wulandari , Bruce H. Thomas , Mark Billinghurst

The aim of visualization is to support people in dealing with large and complex information structures, to make these structures more comprehensible, facilitate exploration, and enable knowledge discovery. However, users often have problems…

Human-Computer Interaction · Computer Science 2022-03-22 Christina Stoiber , Markus Wagner , Florian Grassinger , Margit Pohl , Holger Stitz , Marc Streit , Benjamin Potzmann , Wolfgang Aigner

Many practical problems can be understood as the search for a state of affairs that extends a fixed partial state of affairs, the \emph{environment}, while satisfying certain conditions that are formally specified. Such problems are found…

Artificial Intelligence · Computer Science 2023-05-30 Pierre Carbonnelle , Joost Vennekens , Bart Bogaerts , Marc Denecker

Virtual Reality (VR) museums provide immersive visiting experiences. Despite growing efforts in VR museum design optimization, limited research addresses its efficacy for older adults. We sought to investigate the challenges of and…

Human-Computer Interaction · Computer Science 2024-10-22 Jingling Zhang , Qianjie Wei , Xiaoying Wei , Mingming Fan

Interacting with human agents in complex scenarios presents a significant challenge for robotic navigation, particularly in environments that necessitate both collision avoidance and collaborative interaction, such as indoor spaces. Unlike…

Robotics · Computer Science 2024-11-07 Lingfeng Sun , Yixiao Wang , Pin-Yun Hung , Changhao Wang , Xiang Zhang , Zhuo Xu , Masayoshi Tomizuka

Virtual reality is expected to play a significant role in the transformation of education and psychological studies. The possibilities for its application as a visual research method can be enhanced as established frameworks and toolkits…

Human-Computer Interaction · Computer Science 2023-10-24 Corrie Green , Chloë Farr , Yang Jiang

While designers increasingly leverage Generative AI for divergent exploration, current interaction is optimized for convergent refinement, forcing users to specify fixed targets rather than open-ended search spaces. Based on a formative…

Human-Computer Interaction · Computer Science 2026-05-12 DaEun Choi , Kihoon Son , Jaesang Yu , Hyunjoon Jung , Juho Kim

A growing number of efforts aim to understand what people see when using a visualization. These efforts provide scientific grounding to complement design intuitions, leading to more effective visualization practice. However, published…

Human-Computer Interaction · Computer Science 2020-09-16 Madison Elliott , Christine Nothelfer , Cindy Xiong , Danielle Szafir

Visual blends combine elements from two distinct visual concepts into a single, integrated image, with the goal of conveying ideas through imaginative and often thought-provoking visuals. Communicating abstract concepts through visual…

Human-Computer Interaction · Computer Science 2025-02-25 Zhida Sun , Zhenyao Zhang , Yue Zhang , Min Lu , Dani Lischinski , Daniel Cohen-Or , Hui Huang

Adaptive exploration methods propose ways to learn complex policies via alternating between exploration and exploitation. An important question for such methods is to determine the appropriate moment to switch between exploration and…

Artificial Intelligence · Computer Science 2026-02-11 Leonidas Bakopoulos , Georgios Chalkiadakis

In domains with high knowledge distribution a natural objective is to create principle foundations for collaborative interactive learning environments. We present a first mathematical characterization of a collaborative learning group, a…

Artificial Intelligence · Computer Science 2020-08-26 Tom Hanika , Jens Zumbrägel

Concept discovery is one of the open problems in the interpretability literature that is important for bridging the gap between non-deep learning experts and model end-users. Among current formulations, concepts defines them by as a…

Machine Learning · Computer Science 2022-02-11 Adrianna Janik , Kris Sankaran

When language models answer open-ended problems, they implicitly make hidden decisions that shape their outputs, leaving users with uncontextualized answers rather than a working map of the problem; drawing on multiverse analysis from…

Human-Computer Interaction · Computer Science 2026-05-05 Andre Ye , Jenny Y. Huang , Alicia Guo , Rose Novick , Tamara Broderick , Mitchell L. Gordon

The explorative mind-map is a dynamic framework, that emerges automatically from the input, it gets. It is unlike a verificative modeling system where existing (human) thoughts are placed and connected together. In this regard, explorative…

Artificial Intelligence · Computer Science 2009-08-25 Jayanta Poray , Christoph Schommer

With the advancement of virtual reality (VR) technology, virtual displays have become integral to how museums, galleries, and other tourist destinations present their collections to the public. However, the current lack of immersion in…

Human-Computer Interaction · Computer Science 2023-04-06 Simin Yang , Ze Gao , Reza Hadi Mogavi , Pan Hui , Tristan Braud