Conversational Strategies for Robustly Managing Dialog in Public Spaces
نویسندگان
چکیده
Open environments present an attention management challenge for conversational systems. We describe a kiosk system (based on Ravenclaw–Olympus) that uses simple auditory and visual information to interpret human presence and manage the system’s attention. The system robustly differentiates intended interactions from unintended ones at an accuracy of 93% and provides similar task completion rates in both a quiet room and a public space.
منابع مشابه
A Conversational Interface for Online Shopping
We present a deployed, conversational dialog system that assists users in finding computers based on their usage patterns and constraints on specifications. We discuss findings from a market survey and two user studies. We compared our system to a directed dialog system and a menu driven navigation system. We found that the conversational interface reduced the average number of clicks by 63% an...
متن کاملAn Agent-Based Dialog Simulation Technique to Develop and Evaluate Conversational Agents
In this paper, we present an agent-based dialog simulation technique for learning new dialog strategies and evaluate conversational agents. Using this technique the effort necessary to acquire data required to train the dialog model and then explore new dialog strategies is considerably reduced. A set of measures has also been defined to evaluate the dialog strategy that is automatically learne...
متن کاملComputational Models for Multiparty Turn-Taking
We describe a computational framework for modeling and managing turn-taking in openworld spoken dialog systems. We present a representation and methodology for tracking the conversational dynamics in multiparty interactions, making floor control decisions, and rendering these decisions into appropriate behaviors. We show how the approach enables an embodied conversational agent to participate i...
متن کاملAutomatic Recognition of Conversational Strategies in the Service of a Socially-Aware Dialog System
In this work, we focus on automatically recognizing social conversational strategies that in human conversation contribute to building, maintaining or sometimes destroying a budding relationship. These conversational strategies include self-disclosure, reference to shared experience, praise and violation of social norms. By including rich contextual features drawn from verbal, visual and vocal ...
متن کاملA Conversational Agent as Museum Guide - Design and Evaluation of a Real-World Application
This paper describes an application of the conversational agent Max in a real-world setting. The agent is employed as guide in a public computer museum, where he engages with visitors in natural face-to-face communication, provides them with information about the museum or the exhibition, and conducts natural small talk conversations. The design of the system is described with a focus on how th...
متن کامل