Matthias Haase


2024

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User Perspective on Anonymity in Voice Assistants – A comparison between Germany and Finland
Ingo Siegert | Silas Rech | Tom Bäckström | Matthias Haase
Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies @ LREC-COLING 2024

2012

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LAST MINUTE: a Multimodal Corpus of Speech-based User-Companion Interactions
Dietmar Rösner | Jörg Frommer | Rafael Friesen | Matthias Haase | Julia Lange | Mirko Otto
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We report about design and characteristics of the LAST MINUTE corpus. The recordings in this data collection are taken from a WOZ experiment that allows to investigate how users interact with a companion system in a mundane situation with the need for planning, re-planning and strategy change. The resulting corpus is distinguished with respect to aspects of size (e.g. number of subjects, length of sessions, number of channels, total length of records) as well as quality (e.g. balancedness of cohort, well designed scenario, standard based transcripts, psychological questionnaires, accompanying in-depth interviews).

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Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus
Jörg Frommer | Bernd Michaelis | Dietmar Rösner | Andreas Wendemuth | Rafael Friesen | Matthias Haase | Manuela Kunze | Rico Andrich | Julia Lange | Axel Panning | Ingo Siegert
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The LAST MINUTE corpus comprises multimodal recordings (e.g. video, audio, transcripts) from WOZ interactions in a mundane planning task (Rösner et al., 2011). It is one of the largest corpora with naturalistic data currently available. In this paper we report about first results from attempts to automatically and manually analyze the different modes with respect to emotions and affects exhibited by the subjects. We describe and discuss difficulties encountered due to the strong contrast between the naturalistic recordings and traditional databases with acted emotions.