scholarly journals THE ROLE OF AGE AND EMOTIONAL VALENCE IN WORD RECOGNITION: AN EX-GAUSSIAN ANALYSIS

2015 ◽  
Vol 57 (2) ◽  
pp. 83-94 ◽  
Author(s):  
Amparo MORENO-CID ◽  
◽  
Carmen MORET-TATAY ◽  
Tatiana Quarti IRIGARAY ◽  
Irani I. L. ARGIMON ◽  
...  
2011 ◽  
Author(s):  
S. J. Lupker ◽  
J. Acha ◽  
C. J. Davis ◽  
M. Perea
Keyword(s):  

2002 ◽  
Vol 91 (2) ◽  
pp. 431-435 ◽  
Author(s):  
Jordi Fernández-Castro ◽  
Joaquim T. Limonero ◽  
Tatiana Rovira ◽  
Samanta Albaina

This work analyzed the effects of unrealistic optimism in the interaction between the emotional valence of future events, the perception of control over these events, and the person with whom one compares oneself. It was hypothesized that, if the person of comparison is judged as very competent, a pessimistic bias should be produced. Likelihood of four different types of events (positive and controllable, positive and uncontrollable, negative and controllable, and negative and uncontrollable) were rated by 133 university students (22 men and 111 women) for themselves, for an average student, for their best friend, and for a bright friend. A pessimistic bias was observed on the relative likelihood of the events when the comparison was made between oneself and a competent and bright friend, when events were perceived as controllable, especially positive ones. Not enough is known, however, to provide meaningful interpretation at present; that must await further data and theoretical development.


2017 ◽  
Vol 180 ◽  
pp. 33-39 ◽  
Author(s):  
Xiaolei Song ◽  
Jing Chen ◽  
Robert W. Proctor

2020 ◽  
Author(s):  
Manyu Li

This secondary-analysis register report aims at testing the role of emotion in the intervention effect of an experimental intervention study in academic settings. Previous analyses of the National Study of the Learning Mindset (Yeager et al., 2019) showed that in a randomized controlled trial, high school students who were given the growth mindset intervention had, on average higher GPA than did students in the control condition. Previous analyses also showed that school achievement levels moderated the intervention effect. This study further explores whether the emotion students experienced during the growth mindset intervention plays a role in the intervention effect. Specifically, using a sentence-level automated text analysis for emotional valence (i.e. sentiment analysis), students’ written reflections during the intervention are analyzed. Linear mixed models are conducted to test if valence reflected in the written texts predicted higher intervention effect (i.e. higher post-intervention GPA given pre-intervention GPA). The moderating role of school achievement levels was also examined. A 10% random sample of the data was analyzed as a pilot study for this registered report to test for feasibility and proof-of-concept. Results of the pilot data showed small, yet significant relations between emotional valence and intervention effects. The results of this study have implications on the role of emotion in the results of intervention or experimental studies, especially those that are conducted in academic settings. This study also introduces a user-friendly text-based analytic method for experimental psychologists to detect and analyze sentence-level emotional valence in an intervention or experimental study.


2019 ◽  
Vol 72 (11) ◽  
pp. 2574-2583 ◽  
Author(s):  
Julie Gregg ◽  
Albrecht W Inhoff ◽  
Cynthia M Connine

Spoken word recognition models incorporate the temporal unfolding of word information by assuming that positional match constrains lexical activation. Recent findings challenge the linearity constraint. In the visual world paradigm, Toscano, Anderson, and McMurray observed that listeners preferentially viewed a picture of a target word’s anadrome competitor (e.g., competitor bus for target sub) compared with phonologically unrelated distractors (e.g., well) or competitors sharing an overlapping vowel (e.g., sun). Toscano et al. concluded that spoken word recognition relies on coarse grain spectral similarity for mapping spoken input to a lexical representation. Our experiments aimed to replicate the anadrome effect and to test the coarse grain similarity account using competitors without vowel position overlap (e.g., competitor leaf for target flea). The results confirmed the original effect: anadrome competitor fixation curves diverged from unrelated distractors approximately 275 ms after the onset of the target word. In contrast, the no vowel position overlap competitor did not show an increase in fixations compared with the unrelated distractors. The contrasting results for the anadrome and no vowel position overlap items are discussed in terms of theoretical implications of sequential match versus coarse grain similarity accounts of spoken word recognition. We also discuss design issues (repetition of stimulus materials and display parameters) concerning the use of the visual world paradigm in making inferences about online spoken word recognition.


2018 ◽  
Vol 61 (1) ◽  
pp. 145-158 ◽  
Author(s):  
Chhayakanta Patro ◽  
Lisa Lucks Mendel

PurposeThe main goal of this study was to investigate the minimum amount of sensory information required to recognize spoken words (isolation points [IPs]) in listeners with cochlear implants (CIs) and investigate facilitative effects of semantic contexts on the IPs.MethodListeners with CIs as well as those with normal hearing (NH) participated in the study. In Experiment 1, the CI users listened to unprocessed (full-spectrum) stimuli and individuals with NH listened to full-spectrum or vocoder processed speech. IPs were determined for both groups who listened to gated consonant-nucleus-consonant words that were selected based on lexical properties. In Experiment 2, the role of semantic context on IPs was evaluated. Target stimuli were chosen from the Revised Speech Perception in Noise corpus based on the lexical properties of the final words.ResultsThe results indicated that spectrotemporal degradations impacted IPs for gated words adversely, and CI users as well as participants with NH listening to vocoded speech had longer IPs than participants with NH who listened to full-spectrum speech. In addition, there was a clear disadvantage due to lack of semantic context in all groups regardless of the spectral composition of the target speech (full spectrum or vocoded). Finally, we showed that CI users (and users with NH with vocoded speech) can overcome such word processing difficulties with the help of semantic context and perform as well as listeners with NH.ConclusionWord recognition occurs even before the entire word is heard because listeners with NH associate an acoustic input with its mental representation to understand speech. The results of this study provide insight into the role of spectral degradation on the processing of spoken words in isolation and the potential benefits of semantic context. These results may also explain why CI users rely substantially on semantic context.


Sign in / Sign up

Export Citation Format

Share Document