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Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting…

Human-Computer Interaction · Computer Science 2024-05-30 Gun Woo Warren Park , Payod Panda , Lev Tankelevitch , Sean Rintel

While generative models have become powerful tools for image synthesis, they are typically optimized for executing carefully crafted textual prompts, offering limited support for the open-ended visual exploration that often precedes idea…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Kfir Goldberg , Elad Richardson , Yael Vinker

We investigate using generated decorative art as a source of inspiration for design tasks. Using a visual similarity search for image retrieval, the \emph{Camera Obscurer} app enables rapid searching of tens of thousands of generated…

Multimedia · Computer Science 2019-03-07 Dilpreet Singh , Nina Rajcic , Simon Colton , Jon McCormack

Recent advances in GenAI have enabled automation in data visualization, allowing users to generate visual representations using natural language. However, existing systems primarily focus on automation, overlooking users' varying expertise…

Human-Computer Interaction · Computer Science 2025-04-10 Kathrin Schnizer , Sven Mayer

Many recommendation systems limit user inputs to text strings or behavior signals such as clicks and purchases, and system outputs to a list of products sorted by relevance. With the advent of generative AI, users have come to expect richer…

Faceted search acts as a critical bridge for navigating massive ecommerce catalogs, yet traditional systems rely on static rule-based extraction or statistical ranking, struggling with emerging vocabulary, semantic gaps, and a disconnect…

Information Retrieval · Computer Science 2026-03-23 Zhouwei Zhai , Min Yang , Jin Li

Query reformulation is the process by which a input search query is refined by the user to match documents outside the original top-n results. On average, roughly 50% of text search queries involve some form of reformulation, and term…

Computer Vision and Pattern Recognition · Computer Science 2019-10-29 Kyle Xiao , Houdong Hu , Yan Wang

Exploratory search starts with ill-defined goals and involves browsing, learning, and formulating new targets for search. To fluidly support such dynamic search behaviours, we focus on devising interactive visual facets (IVF), visualising…

Human-Computer Interaction · Computer Science 2021-09-14 Chen He , Luana Micallef , Barış Serim , Tung Vuong , Tuukka Ruotsalo , Giulio Jacucci

Generative AI (GenAI) tools are radically expanding the scope and capability of automation in knowledge work such as academic research. While promising for augmenting cognition and streamlining processes, AI-assisted research tools may also…

Human-Computer Interaction · Computer Science 2025-04-22 Runlong Ye , Matthew Varona , Oliver Huang , Patrick Yung Kang Lee , Michael Liut , Carolina Nobre

Recent advances in Generative AI have transformed how users interact with data analysis through natural language interfaces. However, many systems rely too heavily on LLMs, creating risks of hallucination, opaque reasoning, and reduced user…

Human-Computer Interaction · Computer Science 2025-09-04 Ratanond Koonchanok , Alex Kale , Khairi Reda

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

As generative AI (GenAI) increasingly permeates design workflows, its impact on design outcomes and designers' creative capabilities warrants investigation. We conducted a within-subjects experiment where we asked participants to design…

Human-Computer Interaction · Computer Science 2024-11-04 Yue Fu , Han Bin , Tony Zhou , Marx Wang , Yixin Chen , Zelia Gomes Da Costa Lai , Jacob O. Wobbrock , Alexis Hiniker

Generative retrieval introduces a groundbreaking paradigm to document retrieval by directly generating the identifier of a pertinent document in response to a specific query. This paradigm has demonstrated considerable benefits and…

Information Retrieval · Computer Science 2024-10-28 Mingming Li , Huimu Wang , Zuxu Chen , Guangtao Nie , Yiming Qiu , Guoyu Tang , Lin Liu , Jingwei Zhuo

Generative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, Generative AI has been actively studied in creative design…

Human-Computer Interaction · Computer Science 2025-02-04 Liuging Chen , Yaxuan Song , Jia Guo , Lingyun Sun , Peter Childs , Yuan Yin

Generative Artificial Intelligence (Generative AI) holds significant promise in reshaping interactive systems design, yet its potential across the four key phases of human-centered design remains underexplored. This article addresses this…

Human-Computer Interaction · Computer Science 2024-11-06 Marie Muehlhaus , Jürgen Steimle

This work investigates the integration of generative visual aids in human-robot task communication. We developed GenComUI, a system powered by large language models that dynamically generates contextual visual aids (such as map annotations,…

Human-Computer Interaction · Computer Science 2025-02-18 Yate Ge , Meiying Li , Xipeng Huang , Yuanda Hu , Qi Wang , Xiaohua Sun , Weiwei Guo

During the early stages of interface design, designers need to produce multiple sketches to explore a design space. Design tools often fail to support this critical stage, because they insist on specifying more details than necessary.…

Human-Computer Interaction · Computer Science 2026-03-31 Aryan Garg , Yue Jiang , Antti Oulasvirta

Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that…

Human-Computer Interaction · Computer Science 2024-07-08 Lev Tankelevitch , Viktor Kewenig , Auste Simkute , Ava Elizabeth Scott , Advait Sarkar , Abigail Sellen , Sean Rintel

Dynamic web applications such as mashups need efficient access to web data that is only accessible via entity search engines (e.g. product or publication search engines). However, most current mashup systems and applications only support…

Databases · Computer Science 2010-03-24 Stefan Endrullis , Andreas Thor , Erhard Rahm

Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompting}, a process in which users write a short text to…

Computers and Society · Computer Science 2024-02-20 Maddalena Torricelli , Mauro Martino , Andrea Baronchelli , Luca Maria Aiello