Dialog strategies for handling miscommunication in task-related HRI

Barbara Gonsior, Christian Landsiedel, Antonia Glaser, Dirk Wollherr, Martin Buss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

As communication quality in public spaces often is impaired by noisy environment, it is difficult for a robot to retrieve missing task-information from humans. In this paper, different dialog strategies are modeled and evaluated with respect to user experience and error handling capabilities in HRI in order to cope with erroneous speech recognition. Since correct recognition of spoken language is a bottleneck for real-world dialog systems, special emphasis is placed on the issue of adapting dialog strategies to the conditions under which the dialog is held to thereby provide for adaptability of the dialog strategy to variable speech recognition performance. Experimental evaluations are conducted in a fully automated indoor setting, and in a Wizard-of-Oz outdoor setting. Results indicate that a critical point exists, up to which the use of requests for handling miscommunication improves the user experience of a dialog strategy.

Original languageEnglish
Title of host publication2011 RO-MAN - 20th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest
Pages369-375
Number of pages7
DOIs
StatePublished - 2011
Event20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011 - Atlanta, GA, United States
Duration: 31 Jul 20113 Aug 2011

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011
Country/TerritoryUnited States
CityAtlanta, GA
Period31/07/113/08/11

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