Publications

Displaying 101 - 107 of 107
  • Trujillo, J. P., Levinson, S. C., & Holler, J. (2021). Visual information in computer-mediated interaction matters: Investigating the association between the availability of gesture and turn transition timing in conversation. In M. Kurosu (Ed.), Human-Computer Interaction. Design and User Experience Case Studies. HCII 2021 (pp. 643-657). Cham: Springer. doi:10.1007/978-3-030-78468-3_44.

    Abstract

    Natural human interaction involves the fast-paced exchange of speaker turns. Crucially, if a next speaker waited with planning their turn until the current speaker was finished, language production models would predict much longer turn transition times than what we observe. Next speakers must therefore prepare their turn in parallel to listening. Visual signals likely play a role in this process, for example by helping the next speaker to process the ongoing utterance and thus prepare an appropriately-timed response.

    To understand how visual signals contribute to the timing of turn-taking, and to move beyond the mostly qualitative studies of gesture in conversation, we examined unconstrained, computer-mediated conversations between 20 pairs of participants while systematically manipulating speaker visibility. Using motion tracking and manual gesture annotation, we assessed 1) how visibility affected the timing of turn transitions, and 2) whether use of co-speech gestures and 3) the communicative kinematic features of these gestures were associated with changes in turn transition timing.

    We found that 1) decreased visibility was associated with less tightly timed turn transitions, and 2) the presence of gestures was associated with more tightly timed turn transitions across visibility conditions. Finally, 3) structural and salient kinematics contributed to gesture’s facilitatory effect on turn transition times.

    Our findings suggest that speaker visibility--and especially the presence and kinematic form of gestures--during conversation contributes to the temporal coordination of conversational turns in computer-mediated settings. Furthermore, our study demonstrates that it is possible to use naturalistic conversation and still obtain controlled results.
  • Van Leeuwen, T. M., & Dingemanse, M. (2022). Samenwerkende zintuigen. In S. Dekker, & H. Kause (Eds.), Wetenschappelijke doorbraken de klas in!: Geloven, Neustussenschot en Samenwerkende zintuigen (pp. 85-116). Nijmegen: Wetenschapsknooppunt Radboud Universiteit.

    Abstract

    Ook al hebben we het niet altijd door, onze zintuigen werken altijd samen. Als je iemand ziet praten, bijvoorbeeld, verwerken je hersenen automatisch tegelijkertijd het geluid van de woorden en de bewegingen van de lippen. Omdat onze zintuigen altijd samenwerken zijn onze hersenen erg gevoelig voor dingen die ‘samenhoren’ en goed bij elkaar passen. In dit hoofdstuk beschrijven we een project onderzoekend leren met als thema ‘Samenwerkende zintuigen’.
  • Van den Heuvel, H., Oostdijk, N., Rowland, C. F., & Trilsbeek, P. (2022). The CLARIN Knowledge Centre for Atypical Communication Expertise. In D. Fišer, & A. Witt (Eds.), CLARIN: The Infrastructure for Language Resources (pp. 373-388). Berlin, Boston: De Gruyter.

    Abstract

    In this chapter we introduce the CLARIN Knowledge Centre for Atypical Communication Expertise. The mission of ACE is to support researchers engaged in languages which pose particular challenges for analysis; for this, we use the umbrella term “atypical communication”. This includes language use by second-language learners, people with language disorders or those suffering from lan-guage disabilities, and languages that pose unique challenges for analysis, such as sign languages and languages spoken in a multilingual context. The chapter presents details about the collaborations and outreach of the centre, the services offered, and a number of showcases for its activities.
  • Van Wijk, C., & Kempen, G. (1985). From sentence structure to intonation contour: An algorithm for computing pitch contours on the basis of sentence accents and syntactic structure. In B. Müller (Ed.), Sprachsynthese: Zur Synthese von natürlich gesprochener Sprache aus Texten und Konzepten (pp. 157-182). Hildesheim: Georg Olms.
  • Vernes, S. C., Janik, V. M., Fitch, W. T., & Slater, P. J. B. (Eds.). (2021). Vocal learning in animals and humans [Special Issue]. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 376.
  • Vessel, E. A., Ishizu, T., & Bignardi, G. (2022). Neural correlates of visual aesthetic appeal. In M. Skov, & M. Nadal (Eds.), The Routledge international handbook of neuroaesthetics (pp. 103-133). London: Routledge.
  • Zinken, J., Rossi, G., & Reddy, V. (2020). Doing more than expected: Thanking recognizes another's agency in providing assistance. In C. Taleghani-Nikazm, E. Betz, & P. Golato (Eds.), Mobilizing others: Grammar and lexis within larger activities (pp. 253-278). Amsterdam: John Benjamins.

    Abstract

    In informal interaction, speakers rarely thank a person who has complied with a request. Examining data from British English, German, Italian, Polish, and Telugu, we ask when speakers do thank after compliance. The results show that thanking treats the other’s assistance as going beyond what could be taken for granted in the circumstances. Coupled with the rareness of thanking after requests, this suggests that cooperation is to a great extent governed by expectations of helpfulness, which can be long-standing, or built over the course of a particular interaction. The higher frequency of thanking in some languages (such as English or Italian) suggests that cultures differ in the importance they place on recognizing the other’s agency in doing as requested.

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