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Incidental learning of sequential information occurs in visual, auditory and tactile domains. It occurs throughout our lifetime and even in nonhuman species. It is likely to be one of the most important foundations for the development of normal learning. To date, there is no agreement as to how incidental learning

Incidental learning of sequential information occurs in visual, auditory and tactile domains. It occurs throughout our lifetime and even in nonhuman species. It is likely to be one of the most important foundations for the development of normal learning. To date, there is no agreement as to how incidental learning occurs. The goal of the present set of experiments is to determine if visual sequential information is learned in terms of abstract rules or stimulus-specific details. Two experiments test the extent to which interaction with the stimuli can influence the information that is encoded by the learner. The results of both experiments support the claim that stimulus and domain specific details directly shape what is learned, through a process of tuning the neuromuscular systems involved in the interaction between the learner and the materials.
ContributorsMarsh, Elizabeth R (Author) / Glenberg, Arthur M. (Thesis advisor) / Amazeen, Eric (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2013
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I recently established the gleam-glum effect confirming in both English and Mandarin that words with the /i/ vowel-sound (like “gleam”) are rated more emotionally positive than matched words with the /ʌ/ vowel-sound (like “glum”). Here I confirm that these vowel sounds also influence the semantic perception of monosyllabic pseudo-words.

I recently established the gleam-glum effect confirming in both English and Mandarin that words with the /i/ vowel-sound (like “gleam”) are rated more emotionally positive than matched words with the /ʌ/ vowel-sound (like “glum”). Here I confirm that these vowel sounds also influence the semantic perception of monosyllabic pseudo-words. In Experiment 1, 100 participants rated 50 individual /i/ monosyllabic pseudo-words (like “zeech”) as significantly more positive than 50 matched /ʌ/ pseudo-words (like “zuch”), replicating my previous findings with real words. Experiment 2 assessed the gleam-glum effect on pseudo-words using a forced-choice task. Participants (n = 148) were presented with the 50 pairs of pseudo-words used in Experiment 1 and tasked to guess the most likely meaning of each pseudo-word by matching them with one of two meaning words that were either extremely positive or extremely negative in affective valence (Warriner et al., 2013). I found a remarkably robust effect in which every one of the 50 pseudo-word pairs was on average more likely to have the /i/ word matched with the positive meaning word and /ʌ/ word with the negative one (exact binomial test, p < .001, z = 7.94). The findings confirm that the gleam-glum effect facilitates bootstrapping meaning of words from their pronunciations. These findings coupled with previous real word findings (Yu et al., in press), showing not only that the effect encompasses the entire English lexicon but can also be explained with an embodied facial musculature mechanism, is consistent with the idea that sound symbolism may shape vocabulary use of a language over time by influencing semantic perception.
ContributorsYu, Shin-Phing (Author) / McBeath, Michael K. (Thesis advisor) / Glenberg, Arthur M. (Thesis advisor, Committee member) / Stone, Gregory (Committee member) / Benitez, Viridiana (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Fractal analyses examine variability in a time series to look for temporal structure

or pattern that reveals the underlying processes of a complex system. Although fractal

property has been found in many signals in biological systems, how it relates to

behavioral performance and what it implies about the complex system under scrutiny are

still

Fractal analyses examine variability in a time series to look for temporal structure

or pattern that reveals the underlying processes of a complex system. Although fractal

property has been found in many signals in biological systems, how it relates to

behavioral performance and what it implies about the complex system under scrutiny are

still open questions. In this series of experiments, fractal property, movement kinematics,

and behavioral performance were measured on participants performing a reciprocal

tapping task. In Experiment 1, the results indicated that the alpha value from detrended

fluctuation analysis (DFA) reflected deteriorating performance when visual feedback

delay was introduced into the reciprocal tapping task. This finding suggests that this

fractal index is sensitive to performance level in a movement task. In Experiment 2, the

sensitivity of DFA alpha to the coupling strength between sub-processes within a system

was examined by manipulation of task space visibility. The results showed that DFA

alpha was not influenced by disruption of subsystems coupling strength. In Experiment 3,

the sensitivity of DFA alpha to the level of adaptivity in a system under constraints was

examined. Manipulation of the level of adaptivity was not successful, leading to

inconclusive results to this question.
ContributorsNguyen, Tri, M.A (Author) / Amazeen, Eric L (Thesis advisor) / Glenberg, Arthur M. (Thesis advisor) / Amazeen, Polemnia G (Committee member) / Arizona State University (Publisher)
Created2019