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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/64938

Title: Cross-cultural assessment of automatically generated multimodal referring expressions in a virtual world
Author: LUZ, SATURNINO
Sponsor: Science Foundation Ireland
Author's Homepage: http://people.tcd.ie/luzs
Keywords: multimodal referring expressions
Virtual worlds
Dialogue
Translation
Cross-cultural differences
Issue Date: 2012
Publisher: Elsevier
Citation: I. Van der Sluis, S. Luz, W. Breitfuß, M. Ishizuka, and H. Prendinger, Cross-cultural assessment of automatically generated multimodal referring expressions in a virtual world, International Journal of Human-Computer Studies, 70, 9, 2012, 611 - 629
Series/Report no.: International Journal of Human-Computer Studies;70, 9
Abstract: 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.
Description: PUBLISHED
URI: http://dx.doi.org/10.1016/j.ijhcs.2012.05.002
http://hdl.handle.net/2262/64938
Appears in Collections:Computer Science (Scholarly Publications)

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