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Multi-Mosaics: Corpus Summarizing and Exploration using multiple Concordance Mosaic Visualisations ...
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Detecting cognitive decline using speech only: The ADReSSo Challenge ...
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TeMoCo-Doc: A visualization for supporting temporal and contextual analysis of dialogues and associated documents in linguistic tasks ...
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TeMoCo-Doc: A visualization for supporting temporal and contextual analysis of dialogues and associated documents in linguistic tasks ...
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Investigating speech technology for monitoring disease progression in the context of neurodegenerative disease
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Epistemologies of evidence-based medicine: a plea for corpus-based conceptual research in the medical humanities
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In: Med Health Care Philos (2021)
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Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
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In: Front Aging Neurosci (2021)
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Text Visualization for the Support of Lexicography-Based Scholarly Work ...
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Text Visualization for the Support of Lexicography-Based Scholarly Work ...
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A Method for Analysis of Patient Speech in Dialogue for Dementia Detection ...
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On-Talk and Off-Talk Detection: A Discrete Wavelet Transform Analysis of Electroencephalogram ; 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)
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Cross-cultural assessment of automatically generated multimodal referring expressions in a virtual world
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Abstract:
PUBLISHED ; This paper presents an assessment of automatically generated multimodal referring expressions as produced by embodied conversational agents in a virtual world. The algorithm used for this purpose employs general principles of human motor control and cooperativity in dialogues that can be parametrised so as to vary the precision of the pointing gestures and the amount of linguistic information included in the referring expressions. The study assessed how native speakers of English and Japanese perceived three different algorithmic outputs for multimodal referring behaviour in terms of understandability, human-likeness and a social practice (selling). Results show that users generally prefer mobile agents that are economical in their linguistic descriptions to stationary verbose agents. They also show the need for further calibration of the algorithm to accommodate the differences between the two groups. In addition to the detailed description of the set up and results of the study, the paper discusses implications for the design and use of agents, methodological issues that arose while conducting the cross-cultural study and directions for future work. ; This research is partly funded SFI grant (07/CE/I1142) for the Centre for Next Generation Localisation (www.cngl.ie) at Trinity College Dublin, and the National Institute of Informatics.
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Keyword:
Cross-cultural differences; Dialogue; Digital Humanities; multimodal referring expressions; Translation; Virtual worlds
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URL: http://hdl.handle.net/2262/64938 https://doi.org/10.1016/j.ijhcs.2012.05.002 http://people.tcd.ie/luzs
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Interface design strategies for computer-assisted speech transcription
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In: OZCHI '08 (2008)
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A Framework for collaborative writing with recording and post-meeting retrieval capabilities
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Tableau Algorithms for Categorial Deduction and Parsing
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Luz, Saturnino. - : University of Edinburgh. College of Science and Engineering. School of Informatics., 1998
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