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Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent
Lindsey Vanderlyn, Dirk Väth, Ngoc Thang Vu
Mental models play an important role in whether user interaction with intelligent systems, such as dialog systems is successful or not. Adaptive dialog systems present the opportun…
Towards a Zero-Data, Controllable, Adaptive Dialog System
Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu
Conversational Tree Search (Väth et al., 2023) is a recent approach to controllable dialog systems, where domain experts shape the behavior of a Reinforcement Learning agent throug…
Conversational Tree Search: A New Hybrid Dialog Task
Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu
Conversational interfaces provide a flexible and easy way for users to seek information that may otherwise be difficult or inconvenient to obtain. However, existing interfaces gene…
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
Chia-Yu Li, Daniel Ortega, Dirk Väth +9
We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e.g.…