DAGFiNN: A Conversational Conference Assistant
Ivica Kostric, Krisztian Balog, T{\o}ll{\o}v Alexander Aresvik,, Nolwenn Bernard, Eyvinn Thu D{\o}rheim, Pholit Hantula, Sander, Havn-S{\o}rensen, Rune Henriksen, Hengameh Hosseini, Ekaterina Khlybova,, Weronika Lajewska, Sindre Ekrheim Mosand, Narmin Orujova
TL;DR
DAGFiNN is a versatile conversational assistant designed for conferences, offering personalized, real-time support through chatbot and robot interfaces to enhance participant engagement and information access.
Contribution
This paper introduces DAGFiNN, a novel conference assistant that operates both as a chatbot and a physical robot, providing personalized support during conferences.
Findings
Effective in answering diverse conference-related questions
Enhances participant engagement and experience
Operates seamlessly in both digital and physical forms
Abstract
DAGFiNN is a conversational conference assistant that can be made available for a given conference both as a chatbot on the website and as a Furhat robot physically exhibited at the conference venue. Conference participants can interact with the assistant to get advice on various questions, ranging from where to eat in the city or how to get to the airport to which sessions we recommend them to attend based on the information we have about them. The overall objective is to provide a personalized and engaging experience and allow users to ask a broad range of questions that naturally arise before and during the conference.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.