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Effective ideation requires both broad exploration of diverse ideas and deep evaluation of their potential. Generative AI can support such processes, but current tools typically emphasize either generating many ideas or supporting in-depth…

Human-Computer Interaction · Computer Science 2025-10-01 Yaqing Yang , Vikram Mohanty , Yan-Ying Chen , Matthew K. Hong , Nikolas Martelaro , Aniket Kittur

Dense video captioning (DVC) aims to generate multi-sentence descriptions to elucidate the multiple events in the video, which is challenging and demands visual consistency, discoursal coherence, and linguistic diversity. Existing methods…

Computer Vision and Pattern Recognition · Computer Science 2021-11-22 Xu Yan , Zhengcong Fei , Shuhui Wang , Qingming Huang , Qi Tian

Visuals can enhance our experience of music, owing to the way they can amplify the emotions and messages conveyed within it. However, creating music visualization is a complex, time-consuming, and resource-intensive process. We introduce…

Human-Computer Interaction · Computer Science 2023-09-29 Vivian Liu , Tao Long , Nathan Raw , Lydia Chilton

Spatial understanding is a critical aspect of most robotic tasks, particularly when generalization is important. Despite the impressive results of deep generative models in complex manipulation tasks, the absence of a representation that…

Robotics · Computer Science 2024-09-10 Niklas Funk , Julen Urain , Joao Carvalho , Vignesh Prasad , Georgia Chalvatzaki , Jan Peters

Digital art portfolios serve as impactful mediums for artists to convey their visions, weaving together visuals, audio, interactions, and narratives. However, without technical backgrounds, design students often find it challenging to…

Human-Computer Interaction · Computer Science 2023-11-27 Tao Long , Weirui Peng

Generative AI models have revolutionized various fields by enabling the creation of realistic and diverse data samples. Among these models, diffusion models have emerged as a powerful approach for generating high-quality images, text, and…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Gaurav Raut , Apoorv Singh

Generative AI faces many challenges when entering the product design workflow, such as interface usability and interaction patterns. Therefore, based on design thinking and design process, we developed the DesignGPT multi-agent…

Artificial Intelligence · Computer Science 2023-11-21 Shiying Ding , Xinyi Chen , Yan Fang , Wenrui Liu , Yiwu Qiu , Chunlei Chai

In traditional human living environment landscape design, the establishment of three-dimensional models is an essential step for designers to intuitively present the spatial relationships of design elements, as well as a foundation for…

Human-Computer Interaction · Computer Science 2024-04-26 Ran Chen , Zeke Lian , Yueheng He , Xiao Ling , Fuyu Yang , Xueqi Yao , Xingjian Yi , Jing Zhao

Existing rectified flow models are based on linear trajectories between data and noise distributions. This linearity enforces zero curvature, which can inadvertently force the image generation process through low-probability regions of the…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Yan Luo , Drake Du , Hao Huang , Yi Fang , Mengyu Wang

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous…

Conventional picture-book production imposes substantial physical and temporal demands on creators, often constraining opportunities for high-level artistic exploration. While generative AI can drastically accelerate image generation,…

Human-Computer Interaction · Computer Science 2026-04-07 Cosei Kawa

Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include…

Human-Computer Interaction · Computer Science 2025-02-26 Anna Ravera , Cristina Gena

Learning to use feature-rich software is a persistent challenge, but generative AI tools promise to lower this barrier by replacing complex navigation with natural language prompts. We investigated how people approach prompt-based tools for…

Human-Computer Interaction · Computer Science 2026-04-01 Kanak Gautam , Poorvi Bhatia , Parmit K. Chilana

The rapid proliferation of Generative AI (GenAI) into diverse, high-stakes domains necessitates robust and reproducible evaluation methods. However, practitioners often resort to ad-hoc, non-standardized scripts, as common metrics are often…

Computation and Language · Computer Science 2026-03-24 Nitin Gupta , Pallav Koppisetti , Kausik Lakkaraju , Biplav Srivastava

This research explores the opportunities of Generative AI (GenAI) in the realm of higher education through the design and development of a multimodal chatbot for an undergraduate course. Leveraging the ChatGPT API for nuanced text-based…

Human-Computer Interaction · Computer Science 2025-09-25 Johnny Chan , Yuming Li

Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface…

Human-Computer Interaction · Computer Science 2025-03-28 Rifat Mehreen Amin , Oliver Hans Kühle , Daniel Buschek , Andreas Butz

Despite Generative AI (GenAI) systems' potential for enhancing content creation, users often struggle to effectively integrate GenAI into their creative workflows. Core challenges include misalignment of AI-generated content with user…

Design processes involve exploration, iteration, and movement across interconnected stages such as persona creation, problem framing, solution ideation, and prototyping. However, time and resource constraints often hinder designers from…

Human-Computer Interaction · Computer Science 2025-08-18 Sangho Suh , Michael Lai , Kevin Pu , Steven P. Dow , Tovi Grossman

The emergence of Generative AI is catalyzing a paradigm shift in user interfaces from command-based to intent-based outcome specification. In this paper, we explore abstract-to-detailed task transitions in the context of frontend code…

Human-Computer Interaction · Computer Science 2024-08-05 Qinshi Zhang , Latisha Besariani Hendra , Mohan Chi , Zijian Ding

Visually-guided acoustic highlighting seeks to rebalance audio in alignment with the accompanying video, creating a coherent audio-visual experience. While visual saliency and enhancement have been widely studied, acoustic highlighting…

Audio and Speech Processing · Electrical Eng. & Systems 2026-02-05 Hugo Malard , Gael Le Lan , Daniel Wong , David Lou Alon , Yi-Chiao Wu , Sanjeel Parekh
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