Athena

Academic Research

Evaluating LLM-Driven Book Discovery: A Comparative Study of a RAG-Based Chat Interface vs. Traditional Search in Digital Libraries


This paper introduces Athena, a conversational, RAG-powered book-discovery system for Project Gutenberg, and compares it to traditional keyword search. Our user study shows that the LLM-based interface improves retrieval accuracy, user satisfaction, and exploratory search while highlighting challenges around trust and AI-generated content.

Authors

Nicole León, Pennsylvania State University


Matt Murtagh White, Trinity College Dublin


Yunkai Xu, Pennsylvania State University

Date

May 5th, 2025

Publication / Venue

Manuscript submitted to ACM; Presented at UIST 2025 in Busan, South Korea

Details

  • 22-page manuscript

  • Empirical within-subjects study comparing a RAG-LLM conversational interface vs. the Project Gutenberg website


Key focus areas: exploratory search, trust in conversational agents, retrieval accuracy, visualization through knowledge graphs




From Queries to Conversations: How Interface Modality Shapes Exploratory Search Behavior

This study compares four search modalities: keyword, semantic, conversational, and conversational-graph to evaluate how interface design influences exploratory search, workload, confidence, and sense-making in large digital libraries. Conversational interfaces improved synthesis quality and reduced workload, but also increased confidence without increasing accuracy, revealing important risks in LLM-driven exploration.

Authors

Nicole León, Pennsylvania State University


Anonymous Author(s) (review-stage IUI submission)

Date

October 10th, 2025

Publication / Venue

Manuscript submitted to ACM (for IUI conference review)

Details

  • 24-page mixed-methods study

  • Interfaces evaluated: keyword search (Project Gutenberg), semantic list search,

    conversational LLM search, conversational-graph search

  • Measures: performance, workload (NASA-TLX), confidence calibration, synthesis quality

  • 28-participant within-subjects lab study


Talk to Your Library: A Visual Conversational System for Book Discovery

Talk to Your Library is a research poster condensing the insights derived from the 'Evaluating LMM-Driven Book Discovery' research paper featured at the top of this page.