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Large pre-trained language models have exhibited unprecedented capabilities in producing high-quality text via prompting techniques. This fact introduces new possibilities for data collection and annotation, particularly in situations where…

计算与语言 · 计算机科学 2023-05-25 Tiziano Labruna , Sofia Brenna , Andrea Zaninello , Bernardo Magnini

Building on a human-led thematic analysis of life-story interviews with inpatients with Borderline Personality Disorder, this study examines the capacity of large language models (OpenAI's GPT, Google's Gemini, and Anthropic's Claude) to…

人工智能 · 计算机科学 2026-01-27 Marcin Moskalewicz , Anna Sterna , Karolina Drożdż , Kacper Dudzic , Marek Pokropski , Paula Flores

Thematic Analysis (TA) is a widely used qualitative method that provides a structured yet flexible framework for identifying and reporting patterns in clinical interview transcripts. However, manual thematic analysis is time-consuming and…

This paper presents a new educational framework for integrating generative artificial intelligence (GenAI) platforms such as ChatGPT, Claude, and Gemini into laboratory activities aimed at developing critical thinking and digital literacy…

计算机与社会 · 计算机科学 2025-07-02 Vasiliy Znamenskiy , Rafael Niyazov , Joel Hernandez

Agentic Artificial Intelligence (AI) builds upon Generative AI (GenAI). It constitutes the next major step in the evolution of AI with much stronger reasoning and interaction capabilities that enable more autonomous behavior to tackle…

人工智能 · 计算机科学 2025-04-29 Johannes Schneider

The field of text-to-image (T2I) generation has garnered significant attention both within the research community and among everyday users. Despite the advancements of T2I models, a common issue encountered by users is the need for…

计算与语言 · 计算机科学 2023-10-31 Wanrong Zhu , Xinyi Wang , Yujie Lu , Tsu-Jui Fu , Xin Eric Wang , Miguel Eckstein , William Yang Wang

While human-AI collaboration has been a longstanding goal and topic of study for computational research, the emergence of increasingly naturalistic generative AI language models has greatly inflected the trajectory of such research. In this…

人机交互 · 计算机科学 2025-03-11 Elizabeth Anne Watkins , Emanuel Moss , Giuseppe Raffa , Lama Nachman

This paper presents a critical analysis of generative Artificial Intelligence (AI) detection tools in higher education assessments. The rapid advancement and widespread adoption of generative AI, particularly in education, necessitates a…

计算机与社会 · 计算机科学 2024-01-02 Cesare G. Ardito

The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some argue that AI-driven provocations, such as questions asking…

人机交互 · 计算机科学 2026-03-23 Thomas Şerban von Davier , Hao-Ping Lee , Jodi Forlizzi , Sauvik Das

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…

人机交互 · 计算机科学 2025-04-22 Runlong Ye , Matthew Varona , Oliver Huang , Patrick Yung Kang Lee , Michael Liut , Carolina Nobre

Human-AI interaction researchers face an overwhelming challenge: synthesizing insights from thousands of empirical studies to understand how AI impacts people and inform effective design. Existing approach for literature reviews cluster…

人机交互 · 计算机科学 2025-10-01 Chayapatr Archiwaranguprok , Awu Chen , Sheer Karny , Hiroshi Ishii , Pattie Maes , Pat Pataranutaporn

This study examines the relationship between student perceptions and their intention to use generative AI in higher education. Drawing on Expectancy-Value Theory (EVT), a questionnaire was developed to measure students' knowledge of…

计算机与社会 · 计算机科学 2026-02-17 Cecilia Ka Yuk Chan , Wenxin Zhou

Generative artificial intelligences, particularly large language models (LLMs), play an increasingly prominent role in human decision-making contexts, necessitating transparency about their capabilities. While prior studies have shown…

计算与语言 · 计算机科学 2026-01-30 Lydia Uhler , Verena Jordan , Jürgen Buder , Markus Huff , Frank Papenmeier

The accelerated evolution of large language models has raised questions about their comparative performance across domains of practical importance. GPT-4 by OpenAI introduced advances in reasoning, multimodality, and task generalization,…

人机交互 · 计算机科学 2025-08-28 Georgios P. Georgiou

This study explores automatic generation (AIG) using language models to create multiple choice questions (MCQs) for morphological assessment, aiming to reduce the cost and inconsistency of manual test development. The study used a two-fold…

计算与语言 · 计算机科学 2025-08-29 Mohammad Amini , Babak Ahmadi , Xiaomeng Xiong , Yilin Zhang , Christopher Qiao

Chat GPT belongs to the category of Generative Pre-trained Transformer (GPT) language models, which have received specialized training to produce text based on natural language inputs. Its purpose is to imitate human-like conversation and…

人机交互 · 计算机科学 2023-11-03 Wei Zhou

When designing a program, both novice programmers and seasoned developers alike often sketch out -- or, perhaps more famously, whiteboard -- their ideas. Yet despite the introduction of natively multimodal Generative AI models, work on…

计算机与社会 · 计算机科学 2026-02-12 David H. Smith , S. Moonwara A. Monisha , Annapurna Vadaparty , Leo Porter , Daniel Zingaro

Writing survey questions that easily and accurately convey their intent to a variety of respondents is a demanding and high-stakes task. Despite the extensive literature on best practices, the number of considerations to keep in mind is…

统计方法学 · 统计学 2025-09-11 Erica Ann Metheney , Lauren Yehle

The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). HEIs scrambled to respond to its use, especially by students, looking first to…

计算机与社会 · 计算机科学 2024-02-06 Nora McDonald , Aditya Johri , Areej Ali , Aayushi Hingle

Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantly enhancing the learning process. However, delivering such…