It has been the historic responsibility of the social sciences to investigate human societies.
Fulfilling this responsibility requires social theories, measurement models and social data …

Use of conversational artificial intelligence (AI), such as humanlike social chatbots, is
increasing. While a growing number of people is expected to engage in intimate …

Large Language Models (LLMs) have emerged as powerful generative Artificial Intelligence
solutions. This paper presents results and reflections of an experiment done with the LLM …

Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth
by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself …

Data analysts have long sought to turn unstructured text data into meaningful concepts.
Though common, topic modeling and clustering focus on lower-level keywords and require …

Recent advancements in HCI and AI research attempt to support user experience (UX)
practitioners with AI-enabled tools. Despite the potential of emerging models and new …

AI tools, particularly large-scale language model (LLM) based applications such as
ChatGPT, have the potential to simplify qualitative research. Through semi-structured …

Over the years, the task of AI-assisted data annotation has seen remarkable advancements.
However, a specific type of annotation task, the qualitative coding performed during thematic …

Data storytelling is powerful for communicating data insights, but it requires diverse skills
and considerable effort from human creators. Recent research has widely explored the …

Thematic analysis (TA) has been widely used for analyzing qualitative data in many
disciplines and fields. To ensure reliable analysis, the same piece of data is typically …