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Related papers: Avenir-UX: Automated UX Evaluation via Simulated H…

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AI assistants that interact with users over time need to interpret the user's current emotional state in order to respond appropriately and personally. However, this capability remains insufficiently evaluated. Existing emotion datasets…

Artificial Intelligence · Computer Science 2026-04-09 Deliang Wen , Ke Sun , Yu Wang

Explainable Artificial Intelligence (XAI) plays a critical role in fostering user trust and understanding in AI-driven systems. However, the design of effective XAI interfaces presents significant challenges, particularly for UX…

Human-Computer Interaction · Computer Science 2025-06-23 Mohammad Naiseh , Huseyin Dogan , Stephen Giff , Nan Jiang

Autonomous agents must know how to explore user interfaces (UIs) for reliable task solving, yet systematic evaluation of this crucial phase is lacking. We introduce UIExplore-Bench, the first benchmark explicitly dedicated to UI…

Digital agents for automating tasks across different platforms by directly manipulating the GUIs are increasingly important. For these agents, grounding from language instructions to target elements remains a significant challenge due to…

Human-Computer Interaction · Computer Science 2025-07-09 Yuhao Yang , Yue Wang , Dongxu Li , Ziyang Luo , Bei Chen , Chao Huang , Junnan Li

This chapter explores the practice of conducting user research studies and design assessments in virtual reality (VR). An overview of key VR hardware and software tools is provided, including game engines, such as Unity and Unreal Engine.…

This paper presents a mobile application for vote-casting and vote-verification based on the Selene e-voting protocol and explains how it was developed and implemented using the User Experience Design process. The resulting interface was…

Human-Computer Interaction · Computer Science 2021-06-16 Marie-Laure Zollinger , Verena Distler , Peter B. Roenne , Peter Y. A. Ryan , Carine Lallemand , Vincent Koenig

Voice assistants (VAs) are typically evaluated through task performance metrics and self-report questionnaires, but people's voices themselves carry rich paralinguistic cues that reveal affect, effort, and interaction breakdowns. We present…

Human-Computer Interaction · Computer Science 2026-03-23 Yong Ma , Xuesong Zhang , Xuedong Zhang , Natalia Bartłomiejczyk , Seungwoo Je , Adrian Holzer , Morten Fjeld , Andreas Butz

In pursuit of documenting users Neurophysiological responses during experiencing virtual environments (VE), this systematic review presents a novel conceptual model of UX in VE. Searching across seven databases yielded to 1743 articles.…

Human-Computer Interaction · Computer Science 2025-07-28 Alireza Mortezapour , Andrea Antonio Cantone , Monica Maria Lucia Sebillo , Giuliana Vitiello

Understanding user behavior on the web is increasingly critical for optimizing user experience (UX). This study introduces Augmented Web Usage Mining (AWUM), a methodology designed to enhance web usage mining and improve UX by enriching the…

Human-Computer Interaction · Computer Science 2025-10-21 Özkan Canay , {Ü}mit Kocabıcak

The human-centered artificial intelligence (HCAI) design approach, the user-centered design (UCD) version in the intelligence era, has been promoted to address potential negative issues caused by AI technology; user experience design (UXD)…

Human-Computer Interaction · Computer Science 2024-03-08 Wei Xu

The rise of autonomous GUI agents has triggered adversarial countermeasures from digital platforms, yet existing research prioritizes utility and robustness over the critical dimension of anti-detection. We argue that for agents to survive…

Artificial Intelligence · Computer Science 2026-04-14 Jiachen Zhu , Lingyu Yang , Rong Shan , Congmin Zheng , Zeyu Zheng , Weiwen Liu , Yong Yu , Weinan Zhang , Jianghao Lin

Recent progress in GUI agents has substantially improved visual grounding, yet robust planning remains challenging, particularly when the environment deviates from a canonical initial state. In real applications, users often invoke…

Artificial Intelligence · Computer Science 2026-05-26 Henry Hengyuan Zhao , Kaiming Yang , Wendi Yu , Difei Gao , Mike Zheng Shou

Multimodal large language models (MLLMs) are transforming the capabilities of graphical user interface (GUI) agents, facilitating their transition from controlled simulations to complex, real-world applications across various platforms.…

Artificial Intelligence · Computer Science 2025-06-18 Boyu Gou , Ruohan Wang , Boyuan Zheng , Yanan Xie , Cheng Chang , Yiheng Shu , Huan Sun , Yu Su

Modeling visual search not only offers an opportunity to predict the usability of an interface before actually testing it on real users, but also advances scientific understanding about human behavior. In this work, we first conduct a set…

Human-Computer Interaction · Computer Science 2020-05-11 Arianna Yuan , Yang Li

This paper introduces UI-TARS, a native GUI agent model that solely perceives the screenshots as input and performs human-like interactions (e.g., keyboard and mouse operations). Unlike prevailing agent frameworks that depend on heavily…

Graphical user interface (GUI) grounding is a fundamental task for building GUI agents. However, general vision-language models (VLMs) struggle with this task due to a lack of specific optimization. We identify a key gap in this paper:…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Weiming Li , Yan Shao , Jing Yang , Yujing Lu , Ling Zhong , Yuhan Wang , Manni Duan

Smartphones are now ubiquitous, yet our understanding of user interface factors that maximize mobile user experience (UX), is still limited. This work presents a controlled experiment, which investigated factors that affect the usability…

Human-Computer Interaction · Computer Science 2021-02-05 Lasse Einfeldt , Auriol Degbelo

The world is undergoing a major demographic shift as older adults become a rapidly growing share of the population, creating new challenges for driving safety. In car-dependent regions such as the United States, driving remains essential…

Artificial Intelligence · Computer Science 2026-03-03 Yimeng Liu , Fangwei Zhang , Maolin Gan , Jialuo Du , Jingkai Lin , Yawen Wang , Fei Sun , Honglei Chen , Linda Hill , Ruofeng Liu , Tianxing Li , Zhichao Cao

Graphical user interface (GUI) agents have shown promise in automating mobile tasks but still struggle with input redundancy and decision ambiguity. In this paper, we present \textbf{RecAgent}, an uncertainty-aware agent that addresses…

Artificial Intelligence · Computer Science 2025-08-07 Chao Hao , Shuai Wang , Kaiwen Zhou

Autonomous agents capable of navigating Graphical User Interfaces (GUIs) hold the potential to revolutionize digital productivity. However, achieving true digital autonomy extends beyond reactive element matching; it necessitates a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Hongxin Li , Xiping Wang , Jingran Su , Zheng Ju , Yuntao Chen , Qing Li , Zhaoxiang Zhang
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