A word’s predictability has been shown to influence its processing. Two methodologies have demonstrated this time and again: eye tracking while reading and Event Related Potentials (ERPs). In eye tracking while reading, words that are made predictable by their contexts (as operationalized by the cloze task; Taylor, 1953) receive shorter first fixation times (Staub, 2015, for a review) as well as shorter gaze duration and increased skipping rate. In ERPs, the N400 component’s amplitude has also been shown to inversely correlate with a word’s predictability (Kutas and Federmeier, 2011, for a review). Despite the similarities, there is much reason to suspect that these two measures are reflections of different underlying cognitive processes, both modulated by a word’s predictability. We utilized the simultaneous collection of EEG and eye tracking data to investigate the differential effects of lexical predictability and stimulus quality on these measures. We found that these two manipulations had additive effects in the eye movement record, but yet only the manipulation of predictability influenced the N400 Fixation Related Potential (FRP) amplitude, with stimulus quality influencing neither the amplitude nor the latency of the N400. These findings provide no evidence for there being a role for predictability in early visual processing, and thus call into question the relative ordering of lexical processing effects laid out in Staub and Goddard (2019). Our findings also suggest that the N400’s underlying process is strictly temporally fixed and indexes the lexical processing difficulty left after there has already been a convergence of evidence towards the identity of the observed stimulus.

Most previous research has explored how words are processed in isolation. However, reading is a complex process where an interplay of various factors affects word identification. Moreover, previous research has mainly focused on alphabetical languages, so extension of the existent findings to non-alphabetical languages is crucial. The current dissertation uses natural reading paradigms to study eye-movements and neurophysiological correlates of the statistical properties of words that affect word recognition during natural reading in English and Chinese. Chapter 2 concerns the time-courses of word frequency and semantic similarity effects in the reading of English derived words. Previous research pointed to a paradox where behavioural experimental techniques showed earlier signatures of these properties than neuro-imaging techniques. By combining eye-tracking and EEG and applying analytical techniques that target the onset of these effects, this study aims at investigating this paradox. Results still show that neurophysiological responses are either largely absent or appear at the same time as shown in eye-movement data. Chapter 3 shows that the existence of spelling errors negatively impacts the recognition of correct spellings in Chinese. This is revealed by the “spelling entropy effect”, which measures the uncertainty about choosing between correct and alternative spelling variants. This is the first study that used co-registration of eye-tracking and EEG to explore the behavioral and neurophysiological signatures of this uncertainty. Chapter 4 studies how segmentation probabilities influence word segmentation and identification when reading Chinese. The results reveal that space becomes beneficial only when located at places where segmentation probability is considered high. This study is among the first to show beneficial effects of spacing at the sentence level and demonstrates how segmentation probabilities play a crucial role in Chinese word segmentation. Cumulatively, the results obtained point to the existence of numerous factors involved in word identification in both alphabetic and logographic languages, which should be explored using natural reading experimental paradigms, such as co-registration of EEG and eye-tracking, for obtaining a multifaceted view of word recognition processes. / Thesis / Doctor of Philosophy (PhD)

This thesis examines the influence of morphological and identity priming to understand how repetition influences word recognition and novel word learning in first (L1) and second (L2) language adults. The following questions are addressed: How does morphological relatedness between repeated words influence (i) word recognition in natural reading and (ii) novel word learning? (iii) What interactions exist between word repetition and selective attention in novel word learning? Chapter 2 addresses question (i), finding little evidence of morphological priming effects (i.e., faster recognition of a word following a morphologically related word) in L2 reading, and none in L1. The effects of identity priming were ubiquitous in both groups. Chapter 3 examines question (ii) for L1 readers. Low-frequency base words (e.g., caltrop) and novel complex forms (e.g., caltroper) of those bases were primed by two repetitions of identical forms or alternate forms. Learning performance was consistently as good or better after identity priming than after morphological priming. However, orthographic and semantic learning for base forms was stronger in the morphological priming condition. Chapter 4 examines question (iii). Attention was manipulated by delivering attention-inducing instructions, while the control group received no instructions. Exposure was manipulated by embedding novel words either 2, 4, or 8 times. The presence of instruction led to a short-lived speed-up in eye-movements and faster recognition of novel words. Critically, L1 learners reached optimal performance in the post-tests earlier (after 4 exposures), while L2 learners’ performance continued to improve through more exposures. Overall, this thesis shows that morphological priming facilitated L2 visual word recognition and L1 novel word learning when a complex form is a prime, and the base form is a target. We discuss reasons for this asymmetric effect and these results in the framework of the theories of word learning and morphological processing. / Dissertation / Candidate in Philosophy

Information systems provide users with valuable information that is relevant to users’ tasks, as well as irrelevant information that is not helpful to the user. Irrelevant information become a distraction and distract the users from their current task, there by impairing performance. Guided by distraction-conflict theory, processing efficiency theory, attentional control theory, cognitive load theory and memory for goals theory, this study investigated the distraction effect by exploring the research question, “How do task-irrelevant distractions interrupt the users of information systems and influence their performance?”. To investigate how distractions from technology influence users’ performance, this experimental research examined the relationship between the variables of distraction, cognitive load, anxiety and task performance. Data were gathered through lab experiment using imotion eye tracking system. The major findings revealed that task-irrelevant distraction negatively influenced the users by increase anxiety and cognitive load as well as increase the time devoted to primary task. We also found that the cognitive load partially mediates the relationship between distraction and time spending on task.

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