6 papers
Who Trusts AI with Their Emotions? Trust Formation and Sociodemographic Variation in LLM Use for Emotional Support
Natalia Amat-Lefort, Mert Yazan, Amanda Cercas Curry +1
Trust in AI for emotional support is not universal; it is shaped by who users are, where they come from, and what they value. Yet research in this area lacks validated psychometric…
Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
Mert Yazan, Suzan Verberne, Frederik Bungaran Ishak Situmeang
Artificial Intelligence (AI) agents personalize their responses by tailoring explanations to users' backgrounds, interests, and prior interactions, referred to as contextualization…
The Decision to Verify: How Warmth and User Characteristics Shape Reliance on Conversational Agents for Information Search
Mert Yazan, Frederik Bungaran Ishak Situmeang, Suzan Verberne
Conversational artificial intelligence (AI) provides an efficient and convenient gateway to information access. However, it can cause overreliance when users blindly trust AI and a…
From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support
Natalia Amat-Lefort, Mert Yazan, Amanda Cercas Curry +1
Large Language Models (LLMs) are increasingly used not only for instrumental tasks, but as always-available and non-judgmental confidants for emotional support. Yet what drives ado…
Personality over Precision: Exploring the Influence of Human-Likeness on ChatGPT Use for Search
Mert Yazan, Frederik Bungaran Ishak Situmeang, Suzan Verberne
Conversational search interfaces, like ChatGPT, offer an interactive, personalized, and engaging user experience compared to traditional search. On the downside, they are prone to…
Improving RAG for Personalization with Author Features and Contrastive Examples
Mert Yazan, Suzan Verberne, Frederik Situmeang
Personalization with retrieval-augmented generation (RAG) often fails to capture fine-grained features of authors, making it hard to identify their unique traits. To enrich the RAG…