Stefan Kopp


Enabling robust and fluid spoken dialogue with cognitively impaired users
Ramin Yaghoubzadeh | Stefan Kopp
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue

We present the flexdiam dialogue management architecture, which was developed in a series of projects dedicated to tailoring spoken interaction to the needs of users with cognitive impairments in an everyday assistive domain, using a multimodal front-end. This hybrid DM architecture affords incremental processing of uncertain input, a flexible, mixed-initiative information grounding process that can be adapted to users’ cognitive capacities and interactive idiosyncrasies, and generic mechanisms that foster transitions in the joint discourse state that are understandable and controllable by those users, in order to effect a robust interaction for users with varying capacities.


Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective
Spyros Kousidis | Casey Kennington | Timo Baumann | Hendrik Buschmeier | Stefan Kopp | David Schlangen
Proceedings of the EACL 2014 Workshop on Dialogue in Motion

ALICO: a multimodal corpus for the study of active listening
Hendrik Buschmeier | Zofia Malisz | Joanna Skubisz | Marcin Wlodarczak | Ipke Wachsmuth | Stefan Kopp | Petra Wagner
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners. The annotations consist of short feedback expression transcription with corresponding communicative function interpretation as well as segmentation of interpausal units, words, rhythmic prominence intervals and vowel-to-vowel intervals. Additionally, ALICO contains head gesture annotation of both interlocutors. The corpus contributes to research on spontaneous human--human interaction, on functional relations between modalities, and timing variability in dialogue. It also provides data that differentiates between distracted and attentive listeners. We describe the main characteristics of the corpus and present the most important results obtained from analyses in recent years.


Referring in Installments: A Corpus Study of Spoken Object References in an Interactive Virtual Environment
Kristina Striegnitz | Hendrik Buschmeier | Stefan Kopp
INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference

Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation
Hendrik Buschmeier | Timo Baumann | Benjamin Dosch | Stefan Kopp | David Schlangen
Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Toward a Virtual Assistant for Vulnerable Users: Designing Careful Interaction
Ramin Yaghoubzadeh | Stefan Kopp
Proceedings of the 1st Workshop on Speech and Multimodal Interaction in Assistive Environments


Regulating Dialogue with Gestures - Towards an Empirically Grounded Simulation with Conversational Agents
Kirsten Bergmann | Hannes Rieser | Stefan Kopp
Proceedings of the SIGDIAL 2011 Conference


Middleware for Incremental Processing in Conversational Agents
David Schlangen | Timo Baumann | Hendrik Buschmeier | Okko Buß | Stefan Kopp | Gabriel Skantze | Ramin Yaghoubzadeh
Proceedings of the SIGDIAL 2010 Conference


An Alignment-Capable Microplanner for Natural Language Generation
Hendrik Buschmeier | Kirsten Bergmann | Stefan Kopp
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)