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In the rapidly evolving landscape of AI-mediated communication (AIMC), tools powered by Large Language Models (LLMs) are becoming integral to interpersonal communication. Employing a mixed-methods approach, we conducted a one-week diary and…

人机交互 · 计算机科学 2024-03-12 Yue Fu , Sami Foell , Xuhai Xu , Alexis Hiniker

The growing use of Generative AI (GenAI) conversational search tools has raised concerns about their effects on people's metacognitive engagement, critical thinking, and learning. As people increasingly rely on GenAI to perform tasks such…

人机交互 · 计算机科学 2026-03-19 Anjali Singh , Zhitong Guan , Soo Young Rieh

How can we use generative AI to design tools that augment rather than replace human cognition? In this position paper, we review our own research on AI-assisted decision-making for lessons to learn. We observe that in both AI-assisted…

人机交互 · 计算机科学 2025-04-07 Zelun Tony Zhang , Leon Reicherts

The recent surge in research focused on generating synthetic data from large language models (LLMs), especially for scenarios with limited data availability, marks a notable shift in Generative Artificial Intelligence (AI). Their ability to…

机器学习 · 计算机科学 2024-03-08 Xu Guo , Yiqiang Chen

Large Language Models (LLMs) have transformed how people interact with artificial intelligence (AI) systems, achieving state-of-the-art results in various tasks, including scientific discovery and hypothesis generation. However, the lack of…

计算与语言 · 计算机科学 2024-11-06 Sikun Guo , Amir Hassan Shariatmadari , Guangzhi Xiong , Albert Huang , Eric Xie , Stefan Bekiranov , Aidong Zhang

Although capable of generating creative text, Large Language Models (LLMs) are poor judges of what constitutes "creativity". In this work, we show that we can leverage this knowledge of how to write creatively in order to better judge what…

计算与语言 · 计算机科学 2024-12-10 Matthew Lyle Olson , Neale Ratzlaff , Musashi Hinck , Shao-yen Tseng , Vasudev Lal

Prompting-based user interfaces (UIs) shift the task of defining and accessing relevant functions from developers to users. However, how UIs shape this flexibility has not yet been investigated explicitly. We explored interaction with Large…

人机交互 · 计算机科学 2024-10-15 Florian Lehmann , Daniel Buschek

Large language models are transforming the creative process by offering unprecedented capabilities to algorithmically generate ideas. While these tools can enhance human creativity when people co-create with them, it's unclear how this will…

人机交互 · 计算机科学 2025-02-18 Harsh Kumar , Jonathan Vincentius , Ewan Jordan , Ashton Anderson

As Large Language Models (LLMs) increasingly automate writing tasks, there is a growing risk of cognitive deskilling where users offload critical thinking to the system. To address this, we introduce Critical Inker, a writing tool designed…

人机交互 · 计算机科学 2026-04-09 Philipp Hugenroth , Valdemar Danry , Pattie Maes

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…

计算机与社会 · 计算机科学 2024-02-20 Maddalena Torricelli , Mauro Martino , Andrea Baronchelli , Luca Maria Aiello

Recently, a variety of neural models have been proposed for lyrics generation. However, most previous work completes the generation process in a single pass with little human intervention. We believe that lyrics creation is a creative…

计算与语言 · 计算机科学 2022-01-19 Rongsheng Zhang , Xiaoxi Mao , Le Li , Lin Jiang , Lin Chen , Zhiwei Hu , Yadong Xi , Changjie Fan , Minlie Huang

Composing poetry or lyrics involves several creative factors, but a challenging aspect of generation is the adherence to a more or less strict metric and rhyming pattern. To address this challenge specifically, previous work on the task has…

计算与语言 · 计算机科学 2024-05-09 Tommaso Pasini , Alejo López-Ávila , Husam Quteineh , Gerasimos Lampouras , Jinhua Du , Yubing Wang , Ze Li , Yusen Sun

The recent rapid advancement of LLM-based AI systems has accelerated our search and production of information. While the advantages brought by these systems seemingly improve the performance or efficiency of human activities, they do not…

人机交互 · 计算机科学 2025-04-22 Katelyn Xiaoying Mei , Nic Weber

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered…

人机交互 · 计算机科学 2023-02-16 A. Baki Kocaballi

In the field of Human-Computer Interaction (HCI), interactive devices with embedded mechanical computation are gaining attention. The rise of these cutting-edge devices has created a need for specialized design tools that democratize the…

人机交互 · 计算机科学 2024-10-31 Qiuyu Lu , Jiawei Fang , Zhihao Yao , Yue Yang , Shiqing Lyu , Haipeng Mi , Lining Yao

Empathetic response generation aims to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses. Psychological theories posit that comprehending emotional and cognitive states necessitates…

计算与语言 · 计算机科学 2024-06-04 Zhou Yang , Zhaochun Ren , Yufeng Wang , Chao Chen , Haizhou Sun , Xiaofei Zhu , Xiangwen Liao

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But do LLMs actually support user creativity? We hypothesized…

人机交互 · 计算机科学 2024-05-14 Barrett R. Anderson , Jash Hemant Shah , Max Kreminski

LLMs can act as an impartial other, drawing on vast knowledge, or as personalized self-reflecting user prompts. These personalized LLMs, or Digital Humans, occupy an intermediate position between self and other. This research explores the…

Everyday devices like light bulbs and kitchen appliances are now embedded with so many features and automated behaviors that they have become complicated to actually use. While such "smart" capabilities can better support users' goals, the…

人机交互 · 计算机科学 2024-05-08 Evan King , Haoxiang Yu , Sahil Vartak , Jenna Jacob , Sangsu Lee , Christine Julien

In recent years, the detection of AI-generated text has become a critical area of research due to concerns about academic integrity, misinformation, and ethical AI deployment. This paper presents COT Fine-tuned, a novel framework for…

计算与语言 · 计算机科学 2025-04-24 Shifali Agrahari , Sanasam Ranbir Singh