Writing the Unspeakable: an Ethical Approach to a Traumatized Narrative

This project uses the works of contemporary author Tim O’Brien, whose fiction often performs the trauma of the Vietnam War, to explore new ways of encountering the traumatized text. Informed by Emmanuel Levinas’s ethics of the face, and Sigmund Freud’s and Dominick LaCapra’s work on the narratology of the melancholic and the mourner, I consider the different ways we respond to the suffering Other and explore the paradox that through reading a traumatized narrative empathically we may come face-toface, as it were, with the suffering Other. If this is indeed the case, I reason, then the obligations that are due to the Other are also due to the text itself.

Multimodal Integration in Statistical Learning: Evidence from the McGurk Illusion

Recent advances in the field of statistical learning have established that learners are able to track regularities of multimodal stimuli, yet it is unknown whether the statistical computations are performed on integrated representations or on separate, unimodal representations. In the present study, we investigated the ability of adults to integrate audio and visual input during statistical learning. We presented learners with a speech stream synchronized with a video of a speaker's face. In the critical condition, the visual (e.g., /gi/) and auditory (e.g., /mi/) signals were occasionally incongruent, which we predicted would produce the McGurk illusion, resulting in the perception of an audiovisual syllable (e.g., /ni/). In this way, we used the McGurk illusion to manipulate the underlying statistical structure of the speech streams, such that perception of these illusory syllables facilitated participants' ability to segment the speech stream. Our results therefore demonstrate that participants can integrate audio and visual input to perceive the McGurk illusion during statistical learning. We interpret our findings as support for modality-interactive accounts of statistical learning.