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  Repeated interactions can lead to more iconic signals

Little, H., Perlman, M., & Eryilmaz, K. (2017). Repeated interactions can lead to more iconic signals. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 760-765). Austin, TX: Cognitive Science Society.

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Little_Perlman_Eryilmaz_2017.pdf (Publisher version), 409KB
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Little_Perlman_Eryilmaz_2017.pdf
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 Creators:
Little, Hannah1, Author           
Perlman, Marcus1, Author           
Eryilmaz, Kerem2, Author
Affiliations:
1Language and Cognition Department, MPI for Psycholinguistics, Max Planck Society, ou_792548              
2Artificial Intelligence Lab, Vrije Universiteit Brussel, ou_persistent22              

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 Abstract: Previous research has shown that repeated interactions can cause iconicity in signals to reduce. However, data from several recent studies has shown the opposite trend: an increase in iconicity as the result of repeated interactions. Here, we discuss whether signals may become less or more iconic as a result of the modality used to produce them. We review several recent experimental results before presenting new data from multi-modal signals, where visual input creates audio feedback. Our results show that the growth in iconicity present in the audio information may come at a cost to iconicity in the visual information. Our results have implications for how we think about and measure iconicity in artificial signalling experiments. Further, we discuss how iconicity in real world speech may stem from auditory, kinetic or visual information, but iconicity in these different modalities may conflict.

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Language(s): eng - English
 Dates: 2017-05-132017
 Publication Status: Published online
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Title: the 39th Annual Conference of the Cognitive Science Society (CogSci 2017)
Place of Event: London, UK
Start-/End Date: 2017-07-26 - 2017-07-29

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Title: Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017)
Source Genre: Proceedings
 Creator(s):
Gunzelmann, Glenn, Editor
Howes, Andrew, Editor
Tenbrink, Thora, Editor
Davelaar, Eddy, Editor
Affiliations:
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Publ. Info: Austin, TX : Cognitive Science Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 760 - 765 Identifier: -