Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Dan Bohus"'
Publikováno v:
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION.
Publikováno v:
HRI (Companion)
Competent collaboration between robots and people in the open world requires sensing and reasoning about transitions of people's attention to the robots themselves, as well as to other people and objects in the environment. We present challenges and
Publikováno v:
HRI
We demonstrate an open, extensible framework for enabling faster development and study of physically situated interactive systems. The framework provides a programming model for parallel coordinated computation centered on temporal streams of data, a
Autor:
Dan Bohus, Alexander I. Rudnicky
Publikováno v:
INTERSPEECH
A common design pattern in spoken dialog systems is to reject an input when the recognition confidence score falls below a preset rejection threshold. However, this introduces a potentially non-optimal tradeoff between various types of errors such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdf76c5220dfbebd36fe3fd1056431d7
Publikováno v:
ICMI
We demonstrate an open, extensible platform for developing and studying multimodal, integrative-AI systems. The platform provides a time-aware, stream-based programming model for parallel coordinated computation, a set of tools for data visualization
Publikováno v:
Social Robotics ISBN: 9783319700212
ICSR
ICSR
Effective situated interaction hinges on the well-coordinated operation of a set of competencies, including computer vision, speech recognition, and natural language, as well as higher-level inferences about turn taking and engagement. Systems often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a55ee56ff6e75e1cf41b74c2775fd68
https://doi.org/10.1007/978-3-319-70022-9_29
https://doi.org/10.1007/978-3-319-70022-9_29
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1:2-5
A major challenge in developing dialog systems is obtaining realistic data to train the systems for specific domains. We study the opportunity for using crowdsourcing methods to collect dialog datasets. Specifically, we introduce ChatCollect, a syste
Publikováno v:
2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Publikováno v:
AI Magazine; Vol 37, No 4: Winter 2016; 5-6
This issue of AI Magazine brings together a collection of articles on challenges, mechanisms, and research progress in turn-taking and coordination between humans and machines. The contributing authors work in interrelated fields of spoken dialog sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77bee48533828801ba146892a03147f4
https://pub.uni-bielefeld.de/record/2908388
https://pub.uni-bielefeld.de/record/2908388