Objective: To analyze the internal consistency of the Voice Handicap Index (VHI) for evaluating the vocal handicap of individuals with dysphonia. Methods: This is a systematic review. Studies with a cross-sectional de...
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Serious Games (SG) use playability to achieve specific goals in a playful way. Players profiles are directly influenced by personality constructs and affects their choices. Thus, it is important to consider player per...
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ISBN:
(数字)9781728190426
ISBN:
(纸本)9781728190433
Serious Games (SG) use playability to achieve specific goals in a playful way. Players profiles are directly influenced by personality constructs and affects their choices. Thus, it is important to consider player personality for SG design and adaptation. There are no published studies presenting SG as a tool to identify personality with Big Five Factors (BFF) model nor using an Item Response Theory (IRT) - based intelligence system. The aim of this work was to develop a SG to automatically identify player's personalities, using an intelligence system based on IRT and evaluate the convergent and divergent validity of the SG via Classical Theory Test (CTT). The kernel of the SG intelligence system uses IRT to calculate player's latent personality trait. The trait Conscientiousness was approached in the present work. A study was conducted with a 29 subject sample of all genders. The SG was capable to identify their personality trait and the IRT intelligence system proposed is adequate. Also, evidence of convergent and divergent validity was found, reaching the aim of this work. However, more activities will be developed, toward the comprehension of more personality traits. This is a necessary step for advances to SG development providing automatic identification of player's personality based on their actions.
OBJECTIVE:To develop an acoustic model to predict the variability in the auditory perception of the overall severity (OS) of vocal deviation in male and female voices of Brazilian Portuguese speakers.METHOD:In total, ...
OBJECTIVE:To develop an acoustic model to predict the variability in the auditory perception of the overall severity (OS) of vocal deviation in male and female voices of Brazilian Portuguese speakers.
METHOD:In total, 300 vocal samples (sustained vowel [a] and connected speech) from adults of both sexes (235 women and 65 men) were analyzed, including 269 individuals with dysphonia and 31 individuals without dysphonia. Five speech-language pathologists carried out the auditory-perceptual judgment of the OS using an analog-visual scale of 100 mm. A script in the free Praat software was used to extract 47 acoustic measurements. Three linear regression models were developed using the stepwise technique to select the acoustic measurements capable of explaining the variability of the auditory-perceptual judgment of the OS in the general group and for male and female voices separately.
RESULTS:The general model accounted for 66.3% of the variability in OS perception using five acoustic measures, illustrating how periodicity, harmonic structure, and spectral noise across various frequency bands interact to elucidate the clinical perception of vocal quality. For male voices, a more streamlined model employing only two acoustic measures explained 64.9% of the variability, emphasizing that regularity in glottal cycles and low-frequency noise are pivotal factors in the perceptual assessment of male vocal quality. The model for female voices achieved the highest explanatory power at 71.2% with five acoustic measures, suggesting that OS perception in women involves a complex interplay of signal periodicity, noise components across different frequency bands, and variations in fundamental frequency, highlighting the multifaceted nature of assessing female vocal quality.
CONCLUSIONS:The acoustic models developed predicted 66% of the variability in the perception of OS for voices in general, 65% of the variability in the perception of OS for male voices, and 71% of the variability in
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