Abstract

Structured signaling in the acoustic environment between two individuals usually leads to turns to avoid interference. Turn-taking in human communication is a precise system that enables interlocutors to interact very efficiently. Previous studies have detected criteria that allow for optimized timing within a conversation. For instance, lexico-syntax seems to be of outstanding relevance. Other aspects still under consideration in this context are prosody and rhythm beside others. In the current study, we focused on the question if language carries universal acoustic features which might make turn-taking in human communication uniquely efficient in contrast to e.g. 'turn-taking' in animals. We aimed at getting an impression of how language specific properties other than content and grammatical structure affect anticipation performance. Therefore, we contrasted the Anticipation Timing Accuracy (ATA) for mother-tongue stimuli in German, for items in six foreign languages (English, Italian, Polish, Turkish, Arabic, and Korean) and for simple sinusoidal tones. Results showed significant differences between the ATA of the foreign language stimuli. German subjects anticipated the ends of utterances in Indo-European languages and in stress-timed languages (German, English, Arabic) significantly better than the ends of items in non-Indo-European languages and in syllable-timed languages (Italian, Polish, Turkish, Korean, restrictions apply). We conclude that interlocutors' end-of-utterance anticipation performance is influenced by language inherent universal acoustic features.

Highlights

  • Other prosodic cues that might be important for a successful anticipation process are the boundary tone of the turn end (Barkhuysen et al [12]: Dutch), the speaking rate, the intensity level, specified voice quality features (Gravano & Hirschberg [10]: American English), and an oscillatory speech rate (Couper-Kuhlen [13]: English; Auer et al [14]: English, German, Italian; Beňuš et al [15]: American English; Stivers et al [16]: various languages; Wilson & Wilson [17])

  • The statistical analysis of the resulting Anticipation Timing Accuracy (ATA) was done via SPSS (IBM, vers. 20) under Mac OS X

  • Repeated measures ANOVAs were computed with ATA as the dependent and type of sentence as the independent variable with the factor levels German, English, Italian, Polish, Turkish, Arabic, Korean and tones

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Summary

Introduction

Other prosodic cues that might be important for a successful anticipation process are the boundary tone of the turn end (Barkhuysen et al [12]: Dutch), the speaking rate, the intensity level, specified voice quality features (Gravano & Hirschberg [10]: American English), and an oscillatory speech rate (Couper-Kuhlen [13]: English; Auer et al [14]: English, German, Italian; Beňuš et al [15]: American English; Stivers et al [16]: various languages; Wilson & Wilson [17]). Wagner et al [18] likewise assumed that prosodic features of an utterance are rhythmically organized so that they follow a regular oscillation pattern This pattern would simplify interlocutors’ cognitive processing and interaction in communication and give them the opportunity to entrain their speech pattern (Inden et al [19]: German). A third group of researchers argues in favor of several aspects – like semantics, syntax, prosody, rhythm, gesture, context, gaze and facial expression – as being altogether important for successful turn-taking processes (Ford & Thompson [20]: American English; Selting [21]: German)

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