Britta Wrede


2016

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An Interaction-Centric Dataset for Learning Automation Rules in Smart Homes
Kai Frederic Engelmann | Patrick Holthaus | Britta Wrede | Sebastian Wrede
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

The term smart home refers to a living environment that by its connected sensors and actuators is capable of providing intelligent and contextualised support to its user. This may result in automated behaviors that blends into the user’s daily life. However, currently most smart homes do not provide such intelligent support. A first step towards such intelligent capabilities lies in learning automation rules by observing the user’s behavior. We present a new type of corpus for learning such rules from user behavior as observed from the events in a smart homes sensor and actuator network. The data contains information about intended tasks by the users and synchronized events from this network. It is derived from interactions of 59 users with the smart home in order to solve five tasks. The corpus contains recordings of more than 40 different types of data streams and has been segmented and pre-processed to increase signal quality. Overall, the data shows a high noise level on specific data types that can be filtered out by a simple smoothing approach. The resulting data provides insights into event patterns resulting from task specific user behavior and thus constitutes a basis for machine learning approaches to learn automation rules.

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How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment
Patrick Holthaus | Christian Leichsenring | Jasmin Bernotat | Viktor Richter | Marian Pohling | Birte Carlmeyer | Norman Köster | Sebastian Meyer zu Borgsen | René Zorn | Birte Schiffhauer | Kai Frederic Engelmann | Florian Lier | Simon Schulz | Philipp Cimiano | Friederike Eyssel | Thomas Hermann | Franz Kummert | David Schlangen | Sven Wachsmuth | Petra Wagner | Britta Wrede | Sebastian Wrede
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

In order to explore intuitive verbal and non-verbal interfaces in smart environments we recorded user interactions with an intelligent apartment. Besides offering various interactive capabilities itself, the apartment is also inhabited by a social robot that is available as a humanoid interface. This paper presents a multi-modal corpus that contains goal-directed actions of naive users in attempts to solve a number of predefined tasks. Alongside audio and video recordings, our data-set consists of large amount of temporally aligned sensory data and system behavior provided by the environment and its interactive components. Non-verbal system responses such as changes in light or display contents, as well as robot and apartment utterances and gestures serve as a rich basis for later in-depth analysis. Manual annotations provide further information about meta data like the current course of study and user behavior including the incorporated modality, all literal utterances, language features, emotional expressions, foci of attention, and addressees.

2015

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Semantic parsing of speech using grammars learned with weak supervision
Judith Gaspers | Philipp Cimiano | Britta Wrede
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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Engagement-based Multi-party Dialog with a Humanoid Robot
David Klotz | Johannes Wienke | Julia Peltason | Britta Wrede | Sebastian Wrede | Vasil Khalidov | Jean-Marc Odobez
Proceedings of the SIGDIAL 2011 Conference

2010

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Pamini: A framework for assembling mixed-initiative human-robot interaction from generic interaction patterns
Julia Peltason | Britta Wrede
Proceedings of the SIGDIAL 2010 Conference

2007

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Corpus-Based Training of Action-Specific Language Models
Lars Schillingmann | Sven Wachsmuth | Britta Wrede
Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue

2006

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BITT: A Corpus for Topic Tracking Evaluation on Multimodal Human-Robot-Interaction
Jan Frederik Maas | Britta Wrede
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Our research is concerned with the development of robotic systems which can support people in household environments, such as taking care of elderly people. A central goal of our research consists in creating robot systems which are able to learn and communicate about a given environment without the need of a specially trained user. For the communication with such users it is necessary that the robot is able to communicate multimodally, which especially includes the ability to communicate in natural language. Our research is concerned with the development of robotic systems which can support people in household environments, such as taking care of elderly people. A central goal of our research consists in creating robot systems which are able to learn and communicate about a given environment without the need of a specially trained user. For the communication with such users it is necessary that the robot is able to communicate multimodally, which especially includes the ability to communicate in natural language. We believe that the ability to communicate naturally in multimodal communication must be supported by the ability to access contextual information, with topical knowledge being an important aspect of this knowledge. Therefore, we currently develop a topic tracking system for situated human-robot communication on our robot systems. This paper describes the BITT (Bielefeld Topic Tracking) corpus which we built in order to develop and evaluate our system. The corpus consists of human-robot communication sequences about a home-like environment, delivering access to the information sources a multimodal topic tracking system requires.

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Spontaneous Speech Understanding for Robust Multi-Modal Human-Robot Communication
Sonja Hüwel | Britta Wrede
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

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A computational model of multi-modal grounding for human robot interaction
Shuyin Li | Britta Wrede | Gerhard Sagerer
Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue