Displaying 1 - 7 of 7
Ozyurek, A. (2020). From hands to brains: How does human body talk, think and interact in face-to-face language use? In K. Truong, D. Heylen, & M. Czerwinski (
Eds.), ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction (pp. 1-2). New York, NY, USA: Association for Computing Machinery. doi:10.1145/3382507.3419442.
Rasenberg, M., Dingemanse, M., & Ozyurek, A. (2020). Lexical and gestural alignment in interaction and the emergence of novel shared symbols. In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (
Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 356-358). Nijmegen: The Evolution of Language Conferences.
Van Arkel, J., Woensdregt, M., Dingemanse, M., & Blokpoel, M. (2020). A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysis. In R. Fernández, & T. Linzen (
Eds.), Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL 2020) (pp. 177-194). Stroudsburg, PA, USA: The Association for Computational Linguistics.
AbstractHow can people communicate successfully while keeping resource costs low in the face of ambiguity? We present a principled theoretical analysis comparing two strategies for disambiguation in communication: (i) pragmatic reasoning, where communicators reason about each other, and (ii) other-initiated repair, where communicators signal and resolve trouble interactively. Using agent-based simulations and computational complexity analyses, we compare the efficiency of these strategies in terms of communicative success, computation cost and interaction cost. We show that agents with a simple repair mechanism can increase efficiency, compared to pragmatic agents, by reducing their computational burden at the cost of longer interactions. We also find that efficiency is highly contingent on the mechanism, highlighting the importance of explicit formalisation and computational rigour.
Emmorey, K., & Ozyurek, A. (2014). Language in our hands: Neural underpinnings of sign language and co-speech gesture. In M. S. Gazzaniga, & G. R. Mangun (
Eds.), The cognitive neurosciences (5th ed., pp. 657-666). Cambridge, Mass: MIT Press.
Ortega, G., Sumer, B., & Ozyurek, A. (2014). Type of iconicity matters: Bias for action-based signs in sign language acquisition. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (
Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 1114-1119). Austin, Tx: Cognitive Science Society.
AbstractEarly studies investigating sign language acquisition claimed that signs whose structures are motivated by the form of their referent (iconic) are not favoured in language development. However, recent work has shown that the first signs in deaf children’s lexicon are iconic. In this paper we go a step further and ask whether different types of iconicity modulate learning sign-referent links. Results from a picture description task indicate that children and adults used signs with two possible variants differentially. While children signing to adults favoured variants that map onto actions associated with a referent (action signs), adults signing to another adult produced variants that map onto objects’ perceptual features (perceptual signs). Parents interacting with children used more action variants than signers in adult-adult interactions. These results are in line with claims that language development is tightly linked to motor experience and that iconicity can be a communicative strategy in parental input.
Peeters, D., Azar, Z., & Ozyurek, A. (2014). The interplay between joint attention, physical proximity, and pointing gesture in demonstrative choice. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (
Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 1144-1149). Austin, Tx: Cognitive Science Society.
Sumer, B., Perniss, P., Zwitserlood, I., & Ozyurek, A. (2014). Learning to express "left-right" & "front-behind" in a sign versus spoken language. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (
Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 1550-1555). Austin, Tx: Cognitive Science Society.
AbstractDevelopmental studies show that it takes longer for children learning spoken languages to acquire viewpointdependent spatial relations (e.g., left-right, front-behind), compared to ones that are not viewpoint-dependent (e.g., in, on, under). The current study investigates how children learn to express viewpoint-dependent relations in a sign language where depicted spatial relations can be communicated in an analogue manner in the space in front of the body or by using body-anchored signs (e.g., tapping the right and left hand/arm to mean left and right). Our results indicate that the visual-spatial modality might have a facilitating effect on learning to express these spatial relations (especially in encoding of left-right) in a sign language (i.e., Turkish Sign Language) compared to a spoken language (i.e., Turkish).