Different writing systems in the world select different units of spoken language for mapping. Do these writing system differences influence how first language (L1) literacy experiences affect cognitive processes in learning to read a second language (L2)? Two groups of college students who were learning to read English as a second language (ESL) were examined for their relative reliance on phonological and orthographic processing in English word identification: Korean students with an alphabetic L1 literacy background, and Chinese students with a (...) nonalphabetic L1 literacy background. In a semantic category judgment task, Korean ESL learners made more false positive errors in judging stimuli that were homophones to category exemplars than they did in judging spelling controls. However, there were no significant differences in responses to stimuli in these two conditions for Chinese ESL learners. Chinese ESL learners, on the other hand, made more accurate responses to stimuli that were less similar in spelling to category exemplars than those that were more similar. Chinese ESL learners may rely less on phonological information and more on orthographic information in identifying English words than their Korean counterparts. Further evidence supporting this argument came from a phoneme deletion task in which Chinese subjects performed more poorly overall than their Korean counterparts and made more errors that were phonologically incorrect but orthographically acceptable. We suggest that cross-writing system differences in L1s and L1 reading skills transfer could be responsible for these ESL performance differences. (shrink)

To what extent should we trust our natural instincts about knowledge? The question has special urgency for epistemologists who want to draw evidential support for their theories from certain intuitive epistemic assessments while discounting others as misleading. This paper focuses on the viability of endorsing the legitimacy of Gettier intuitions while resisting the intuitive pull of skepticism – a combination of moves that most mainstream epistemologists find appealing. Awkwardly enough, the “good” Gettier intuitions and the “bad” skeptical intuitions seem to (...) be equally strong. This chapter argues that it is not a coincidence that these two types of intuition register with equal force: they are generated by a common mechanism. However, the input to this mechanism is interestingly different in the two types of case, and different in a way that can support the mainstream view that Gettier cases tell us something about knowledge where skeptical intuitions involve systematic error. (shrink)

This paper is concerned with the acquisition of the semantics and pragmatics of evidentiality. Evidentiality markers encode the speaker’s source for the information being reported in the utterance. While languages like English express evidentiality in lexical markers (I saw that it was raining vs. I heard that it was raining), other languages grammaticalize evidentiality. In Turkish, for all instances of past reference there is an obligatory choice between the suffixes -DI (realized as –di, -dı, -du, -dü, -ti, -tı, -tu, -tü (...) depending on the vowel harmony) and –mIs (realized as -mis, -mıs, -mus, -müs depending on the vowel harmony). These past-tense morphemes also carry evidential meanings: the morpheme –DI is used to describe witnessed events and the morpheme –mIs is used to describe information acquired from someone (hearsay) or some clue (inference). (shrink)

Are incorrect judgments on false belief tasks better explained within the framework of a conceptual change theory or a bias theory? Conceptual change theory posits a change in the form of reasoning from 3 to 4 years old while bias theory posits that processing factors are responsible for errors among younger children. The results from three experiments showed that children who failed a test of false belief took as long to respond as those who passed, and both groups of children (...) took longer to respond to belief questions than to questions about prior states of reality. These results seem to support the bias theory. (shrink)

The lack of consensus on how to characterize humans’ capacity for belief reasoning has been brought into sharp focus by recent research. Children fail critical tests of belief reasoning before 3 to 4 years (Wellman, Cross, & Watson, 2001; Wimmer & Perner, 1983), yet infants apparently pass false belief tasks at 13 or 15 months (Onishi & Baillargeon, 2005; Surian, Caldi, & Sperber, 2007). Non-human animals also fail critical tests of belief reasoning but can show very complex social behaviour (e.g., (...) Call & Tomasello, 2005). Fluent social interaction in adult humans implies efficient processing of beliefs, yet direct tests suggest that belief reasoning is cognitively demanding, even for adults (e.g., Apperly, Samson & Humphreys, 2005). We interpret these findings by drawing an analogy with the domain of number cognition, where similarly contrasting results have been observed. We propose that the success of infants and non-human animals on some belief reasoning tasks may be best explained by a cognitively efficient but inflexible capacity for tracking belief-like states. In humans this capacity persists in parallel with later-developing, more flexible but more cognitively demanding theory of mind abilities. (shrink)

Young children’s failures in reasoning about beliefs and desires, and especially about false beliefs, have been much studied. However, there are few accounts of successful belief-desire reasoning in older children or adults. An exception to this is a model in which belief attribution is treated as a process wherein an inhibitory system selects the most likely content for the belief to be attributed from amongst several competing contents [Leslie, A. M., & Polizzi, P. (1998). Developmental Science, 1, 247–254]. We tested (...) this model with an ‘avoidance false belief task’ in which subjects predict the behavior of a character, who wants to avoid an object but who is mistaken about which of three locations it is in. The task has two equally correct answers—in seeking to avoid the location where she mistakenly believes the object to be, the character might equally go to the location where the object actually is, or to the remaining empty location. However, the model predicts that subjects will prefer one of these answers, selecting the object’s actual location over the empty location. This bias was confirmed in a series of five experiments with children aged between 4 and 8 years of age. A sixth experiment ruled out two rival explanations for children’s biased responding. Two further experiments found the opposite bias in adults. These findings support one selection model as an account of belief-desire reasoning in children, and suggest that a different model is needed for adults. The process of selecting contents for mental state attributions shows a developmental shift between 8 years of age and adulthood. (shrink)

Various researchers have suggested that below 7 years of age children do not recognize that they are the authority on knowledge about themselves, a suggestion that seems counter-intuitive because it raises the possibility that children do not appreciate their privileged first-person access to their own minds. Unlike previous research, children in the current investigation quantified knowledge and even 5-year-olds tended to assign relatively more to themselves than to an adult (Studies 1 and 2). Indeed, children's estimations were different from ratings (...) made by their mothers: Their mothers sometimes rated themselves as knowing more about their child than they rated their child as knowing (Study 2). While previous research seemed to suggest that children shift from viewing their mother to viewing themselves as the authority on knowledge about them (the children), these new findings surprisingly suggest the opposite. (shrink)

Conversation is supported by the beliefs that people have in common and the perceptual experience that they share. The visual context of a conversation has two aspects: the information that is available to each conversant, and their beliefs about what is present for each other. In our experiment, we separated these factors for the first time and examined their impact on a spontaneous conversation. We manipulated the fact that a visual scene was shared or not and the belief that a (...) visual scene was shared or not. Participants watched videos of actors talking about a controversial topic, then discussed their own views while looking at either a blank screen or the actors. Each believed (correctly or not) that their partner was either looking at a blank screen or the same images. We recorded conversants’ eye movements, quantified how they were coordinated, and analyzed their speech patterns. Gaze coordination has been shown to be causally related to the knowledge people share before a conversation, and the information they later recall. Here, we found that both the presence of the visual scene, and beliefs about its presence for another, influenced language use and gaze coordination. (shrink)