Displaying 1 - 13 of 13
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Levinson, S. C. (2024). The dark matter of pragmatics: Known unknowns. Cambridge: Cambridge University Press. doi:10.1017/9781009489584.
Abstract
This Element tries to discern the known unknowns in the field
of pragmatics, the ‘Dark Matter’ of the title. We can identify a key
bottleneck in human communication, the sheer limitation on the speed
of speech encoding: pragmatics occupies the niche nestled between
slow speech encoding and fast comprehension. Pragmatic strategies
are tricks for evading this tight encoding bottleneck by meaning more
than you say. Five such tricks are reviewed, which are all domains where
we have made considerable progress. We can then ask for each of these
areas, where have we neglected to push the frontier forward? These are
the known unknowns of pragmatics, key areas, and topics for future
research. The Element thus offers a brief review of some central areas of
pragmatics, and a survey of targets for future research. -
Levinson, S. C. (2024). Culture as cognitive technology: An evolutionary perspective. In G. Bennardo, V. C. De Munck, & S. Chrisomalis (
Eds. ), Cognition in and out of the mind: Advances in cultural model theory (pp. 241-265). London: Palgrave Macmillan.Abstract
Cognitive anthropology is in need of a theory that extends beyond cultural model theory and explains both how culture has transformed human cognition and the curious ontology of culture itself, for, as Durkheim insisted, culture cannot be reduced to psychology. This chapter promotes a framework that deals with both the evolutionary question and the ontological problem. It is argued that at least a central part of culture should be conceived of in terms of cognitive technology. Beginning with obvious examples of cognitive artifacts, like those used in measurement, way-finding, time-reckoning and numerical calculation, the chapter goes on to consider extensions to our communication systems, emotion-modulating systems and the cognitive division of labor. Cognitive artifacts form ‘coupled systems’ that amplify individual psychology, lying partly outside the head, and are honed by cultural evolution. They make clear how culture gave human cognition an evolutionary edge. -
Ter Bekke, M., Levinson, S. C., Van Otterdijk, L., Kühn, M., & Holler, J. (2024). Visual bodily signals and conversational context benefit the anticipation of turn ends. Cognition, 248: 105806. doi:10.1016/j.cognition.2024.105806.
Abstract
The typical pattern of alternating turns in conversation seems trivial at first sight. But a closer look quickly reveals the cognitive challenges involved, with much of it resulting from the fast-paced nature of conversation. One core ingredient to turn coordination is the anticipation of upcoming turn ends so as to be able to ready oneself for providing the next contribution. Across two experiments, we investigated two variables inherent to face-to-face conversation, the presence of visual bodily signals and preceding discourse context, in terms of their contribution to turn end anticipation. In a reaction time paradigm, participants anticipated conversational turn ends better when seeing the speaker and their visual bodily signals than when they did not, especially so for longer turns. Likewise, participants were better able to anticipate turn ends when they had access to the preceding discourse context than when they did not, and especially so for longer turns. Critically, the two variables did not interact, showing that visual bodily signals retain their influence even in the context of preceding discourse. In a pre-registered follow-up experiment, we manipulated the visibility of the speaker's head, eyes and upper body (i.e. torso + arms). Participants were better able to anticipate turn ends when the speaker's upper body was visible, suggesting a role for manual gestures in turn end anticipation. Together, these findings show that seeing the speaker during conversation may critically facilitate turn coordination in interaction. -
Dediu, D., & Levinson, S. C. (2014). Language and speech are old: A review of the evidence and consequences for modern linguistic diversity. In E. A. Cartmill, S. G. Roberts, H. Lyn, & H. Cornish (
Eds. ), The Evolution of Language: Proceedings of the 10th International Conference (pp. 421-422). Singapore: World Scientific. -
Dediu, D., & Levinson, S. C. (2014). The time frame of the emergence of modern language and its implications. In D. Dor, C. Knight, & J. Lewis (
Eds. ), The social origins of language (pp. 184-195). Oxford: Oxford University Press. -
Hagoort, P., & Levinson, S. C. (2014). Neuropragmatics. In M. S. Gazzaniga, & G. R. Mangun (
Eds. ), The cognitive neurosciences (5th ed., pp. 667-674). Cambridge, Mass: MIT Press. -
Levinson, S. C., & Majid, A. (2014). Differential ineffability and the senses. Mind & Language, 29, 407-427. doi:10.1111/mila.12057.
Abstract
neffability, the degree to which percepts or concepts resist linguistic coding, is a fairly unexplored nook of cognitive science. Although philosophical preoccupations with qualia or nonconceptual content certainly touch upon the area, there has been little systematic thought and hardly any empirical work in recent years on the subject. We argue that ineffability is an important domain for the cognitive sciences. For examining differential ineffability across the senses may be able to tell us important things about how the mind works, how different modalities talk to one another, and how language does, or does not, interact with other mental faculties. -
Levinson, S. C. (2014). Language and Wallace's problem [Review of the books More than nature needs: Language, mind and evolution by D. Bickerton and A natural history of human thinking by M. Tomasello]. Science, 344, 1458-1459. doi:10.1126/science.1252988.
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Levinson, S. C. (2014). Language evolution. In N. J. Enfield, P. Kockelman, & J. Sidnell (
Eds. ), The Cambridge handbook of linguistic anthropology (pp. 309-324). Cambridge: Cambridge University Press. -
Levinson, S. C. (2014). Pragmatics as the origin of recursion. In F. Lowenthal, & L. Lefebvre (
Eds. ), Language and recursion (pp. 3-13). Berlin: Springer. doi:10.1007/978-1-4614-9414-0_1.Abstract
There has been a recent spate of work on recursion as a central design feature of language and specifically of syntax. This short report points out that there is little evidence that unlimited recursion, understood as centre embedding, is typical of natural language syntax. Nevertheless, embedded pragmatic construals seem available in every language. Further, much deeper centre embedding can be found in dialogue or conversation structure than can be found in syntax. Existing accounts for the ‘performance’ limitations on centre embedding are thus thrown in doubt. Dialogue materials suggest that centre embedding is perhaps a core part of the human interaction system and is for some reason much more highly restricted in syntax than in other aspects of cognition -
Levinson, S. C., & Holler, J. (2014). The origin of human multi-modal communication. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 369(1651): 2013030. doi:10.1098/rstb.2013.0302.
Abstract
One reason for the apparent gulf between animal and human communication systems is that the focus has been on the presence or the absence of language as a complex expressive system built on speech. But language normally occurs embedded within an interactional exchange of multi-modal signals. If this larger perspective takes central focus, then it becomes apparent that human communication has a layered structure, where the layers may be plausibly assigned different phylogenetic and evolutionary origins—especially in the light of recent thoughts on the emergence of voluntary breathing and spoken language. This perspective helps us to appreciate the different roles that the different modalities play in human communication, as well as how they function as one integrated system despite their different roles and origins. It also offers possibilities for reconciling the ‘gesture-first hypothesis’ with that of gesture and speech having evolved together, hand in hand—or hand in mouth, rather—as one system. -
Magyari, L., Bastiaansen, M. C. M., De Ruiter, J. P., & Levinson, S. C. (2014). Early anticipation lies behind the speed of response in conversation. Journal of Cognitive Neuroscience, 26(11), 2530-2539. doi:10.1162/jocn_a_00673.
Abstract
RTs in conversation, with average gaps of 200 msec and often less, beat standard RTs, despite the complexity of response and the lag in speech production (600 msec or more). This can only be achieved by anticipation of timing and content of turns in conversation, about which little is known. Using EEG and an experimental task with conversational stimuli, we show that estimation of turn durations are based on anticipating the way the turn would be completed. We found a neuronal correlate of turn-end anticipation localized in ACC and inferior parietal lobule, namely a beta-frequency desynchronization as early as 1250 msec, before the end of the turn. We suggest that anticipation of the other's utterance leads to accurately timed transitions in everyday conversations. -
Roberts, S. G., Dediu, D., & Levinson, S. C. (2014). Detecting differences between the languages of Neandertals and modern humans. In E. A. Cartmill, S. G. Roberts, H. Lyn, & H. Cornish (
Eds. ), The Evolution of Language: Proceedings of the 10th International Conference (pp. 501-502). Singapore: World Scientific.Abstract
Dediu and Levinson (2013) argue that Neandertals had essentially modern language and speech, and that they were in genetic contact with the ancestors of modern humans during our dispersal out of Africa. This raises the possibility of cultural and linguistic contact between the two human lineages. If such contact did occur, then it might have influenced the cultural evolution of the languages. Since the genetic traces of contact with Neandertals are limited to the populations outside of Africa, Dediu & Levinson predict that there may be structural differences between the present-day languages derived from languages in contact with Neanderthals, and those derived from languages that were not influenced by such contact. Since the signature of such deep contact might reside in patterns of features, they suggested that machine learning methods may be able to detect these differences. This paper attempts to test this hypothesis and to estimate particular linguistic features that are potential candidates for carrying a signature of Neandertal languages.
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