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People are increasingly turning to generative AI (e.g., ChatGPT, Gemini, Copilot) for emotional support and companionship. While trust is likely to play a central role in enabling these informal and unsupervised interactions, we still lack…

Human-Computer Interaction · Computer Science 2026-01-26 Riccardo Volpato , Simone Stumpf , Lisa DeBruine

Digital portals in retirement communities often create physical and cognitive barriers for older adults, leading to digital avoidance. Generative AI offers a solution by enabling natural language interaction, yet its adoption is hindered by…

Human-Computer Interaction · Computer Science 2026-03-13 Feng Chen , Luna Xingyu Li , Ray-Yuan Chung , Wenyu Zeng , Yein Jeon , Yizhou Hu , Oleg Zaslavsky

Children in a large number of international and cross-cultural families in and outside of the US learn and speak more than one language. However, parents often struggle to acquaint their young children with their local language if the child…

Human-Computer Interaction · Computer Science 2021-04-20 Neelma Bhatti , Timothy L. Stelter , D. Scott McCrickard

Against rising global loneliness, AI companions promise connection, yet accumulating evidence suggests that, for some users and contexts, intensive companion-style use can correlate with increased loneliness and reduced offline…

Human-Computer Interaction · Computer Science 2026-03-23 Yao Xiao , Rafael A. Calvo

Generative AI (genAI) is increasingly being integrated into children's everyday lives, not only through screens but also through so-called "screen-free" AI toys. These toys can simulate emotions, personalize responses, and recall prior…

Human-Computer Interaction · Computer Science 2026-04-06 Aayushi Dangol , Meghna Gupta , Daeun Yoo , Robert Wolfe , Jason Yip , Franziska Roesner , Julie A. Kientz

This paper studies how parents want to moderate children's interactions with Generative AI chatbots, with the goal of informing the design of future GenAI parental control tools. We first used an LLM to generate synthetic child-GenAI…

Human-Computer Interaction · Computer Science 2026-03-13 John Driscoll , Yulin Chen , Viki Shi , Izak Vucharatavintara , Yaxing Yao , Haojian Jin

People increasingly turn to conversational agents such as ChatGPT to seek guidance for their personal problems. As these systems grow in capability, many now display elements of "thinking": short reflective statements that reveal a model's…

Human-Computer Interaction · Computer Science 2026-01-26 Samuel Rhys Cox , Jade Martin-Lise , Simo Hosio , Niels van Berkel

In this paper, we elaborate on how AI can support diversity and inclusion and exemplify research projects conducted in that direction. We start by looking at the challenges and progress in making large language models (LLMs) more…

This paper presents a user study (N=22) where participants used an interface combining Web Search and a Generative AI-Chat feature to solve health-related information tasks. We study how people behaved with the interface, why they behaved…

Human-Computer Interaction · Computer Science 2025-04-08 Kerstin Mayerhofer , Rob Capra , David Elsweiler

Older adults have increasingly turned to conversational AI as a source of emotional support. However, little is known about how emotionally supportive interactions are experienced in everyday use, particularly when AI systems limit,…

Human-Computer Interaction · Computer Science 2026-05-08 Mengqi Shi , Tianqi Song , Zicheng Zhu , Yi-Chieh Lee

Conversational generative artificial intelligence agents (or genAI chatbots) could benefit youth mental health, yet young people's perspectives remain underexplored. We examined the Mental health Intelligence Agent (Mia), a genAI chatbot…

Social isolation among older adults has become a critical concern, as reduced opportunities for conversation and weakened family relationships negatively affect mental health. This study proposes a dialogue agent that supports older adults…

Human-Computer Interaction · Computer Science 2026-04-17 Seiya Mitsuno , Midori Ban , Hiroshi Ishiguro , Yuichiro Yoshikawa

This full research paper investigates the impact of generative AI (GenAI) on the learner experience, with a focus on how learners engage with and utilize the information it provides. In e-learning environments, learners often need to…

Human-Computer Interaction · Computer Science 2026-01-21 Hannah Kim , Sergei L. Kosakovsky Pond , Stephen MacNeil

Automatic translation systems offer a powerful solution to bridge language barriers in scenarios where participants do not share a common language. However, these systems can introduce errors leading to misunderstandings and conversation…

Computation and Language · Computer Science 2025-07-01 José Pombal , Sweta Agrawal , Patrick Fernandes , Emmanouil Zaranis , André F. T. Martins

Conversational AI systems increasingly function as primary interfaces for information seeking, yet how they present sources to support information evaluation remains under-explored. This paper investigates how source transparency design…

Human-Computer Interaction · Computer Science 2026-01-22 Jiangen He , Jiqun Liu

The broad adoption of Generative AI (GenAI) is impacting Computer Science education, and recent studies found its benefits and potential concerns when students use it for programming learning. However, most existing explorations focus on…

Human-Computer Interaction · Computer Science 2025-10-08 Xinying Hou , Ruiwei Xiao , Runlong Ye , Michael Liut , John Stamper

In our globalized world, a growing number of situations arise where people are required to communicate in one or several foreign languages. In the case of written communication, users with a good command of a foreign language may find…

Computation and Language · Computer Science 2023-06-02 Josep Crego , Jitao Xu , François Yvon

This paper explores interaction designs for generative AI interfaces that necessitate human involvement throughout the generation process. We argue that such interfaces can promote cognitive engagement, agency, and thoughtful…

Human-Computer Interaction · Computer Science 2025-04-14 Kenneth C. Arnold , Jiho Kim

The increasing reliance on digital information necessitates advancements in conversational search systems, particularly in terms of information transparency. While prior research in conversational information-seeking has concentrated on…

Information Retrieval · Computer Science 2024-05-07 Weronika Łajewska , Damiano Spina , Johanne Trippas , Krisztian Balog

Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional machine-learning and pattern-based AI systems, and little is…