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.

Variability is inherent in human movement, and poses a challenge to researchers attempting to measure balance. Human movement variability was analyzed using two methods: standard deviation and largest Lyapunov exponent. The experiment was a sit-to-stand task with physical and cognitive perturbations. The physical perturbation consisted of stable and unstable platform conditions, while the cognitive perturbation consisted of a counting task. The data were collected from 24 healthy young adults. The purpose of this study was to compare the standard deviation and largest Lyapunov exponent as measures of stability, and to determine the Lyapunov exponent's sensitivity to cognitive perturbation. Evidence suggests that the Lyapunov exponent serves as a more accurate indicator of stability than standard deviation, and that it lacks sensitivity to the counting task.