The effect of speech estimation on social anxiety (original) (raw)

2009, Japanese Journal of Psychology

This study investigates the e唖 ect of speech estimation on social anxiety to further understanding of this characteristic of Social Anxiety Disorder SAD. In the rst study, we developed the Speech Estimation Scale SES to assess negative estimation before giving a speech which has been reported to be the most fearful social situation in SAD. Undergraduate students n = 306 completed a set of questionnaires, which consisted of the Short Fear of Negative Evaluation Scale SFNE , the Social Interaction Anxiety Scale SIAS , the Social Phobia Scale SPS , and the SES. Exploratory factor analysis showed an adequate one-factor structure with eight items. Further analysis indicated that the SES had good reliability and validity. In the second study, undergraduate students n = 315 completed the SFNE, SIAS, SPS, SES, and the Self-reported Depression Scale SDS. The results of path analysis showed that fear of negative evaluation from others FNE predicted social anxiety, and speech estimation mediated the relationship between FNE and social anxiety. These results suggest that speech estimation might maintain SAD symptoms, and could be used as a specic target for cognitive intervention in SAD.

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Why is it effectiveness as a treatment of anxiety disorder in behavior therapy with onomatopoeias?

Transactions of The Japanese Society for Artificial Intelligence, 2015

We suggest as an important tool in psychotherapy the use of onomatopoeia. Mood disorder and Anxiety disorder are among the most prevalent mental disorders, and Behavior therapy (BT) is an evidence-based psychological treatment suitable for these cases. Interoceptive sensation is important in BT, because it serves as a barometer for responses. On the other hand, standard assessment methods such as subjects unit of disturbance scale (SUDs) is not optimal. In a different approach, we feel a certain form of it, e.g. Doki-Doki, at the same time when feeling emotion. However, the SUDs is assessed without taking somesthesis into consideration. In addition, BT requires information on somesthesis in order to optimally perform the therapy. Here we propose a solution to this problem, based on using onomatopoeia for SUDs. It can assess appropriately the interoceptive sensations by which a patient is accompanied in anxiety. We report two clinical cases using onomatopoeia for SUDs. This makes for an improved therapy. The internal sense appears during the course of the disease. A treatment is thus provided which is not tied to a diagnosis name, but rather by emphasizing the "internal sense," which is more effective in producing an improvement towards curing.

The neural basis of social tactics: An fMRI study

NeuroImage, 2006

One of the most powerful ways of succeeding in complex social interactions is to read the minds of companions and stay a step ahead of them. In order to assess neural responses to reciprocal mind reading in socially strained human relationships, we used a 3-T scanner to perform an event-related functional magnetic resonance imaging study in 16 healthy subjects who participated in the game of Chicken. Statistical parametric mapping showed that the counterpart effect (human minus computer) exclusively activated the medial frontal area corresponding to the anterior paracingulate cortex (PCC) and the supramarginal gyrus neighboring the posterior superior temporal sulcus (STS). Furthermore, when we analyzed the data to evaluate whether the subjects made risky/aggressive or safe/reconciliatory choices, the posterior STS showed that the counterpart had a reliable effect regardless of risky or safe decisions. In contrast, a significant opponent x selection interaction was revealed in the an...

Estimating Communication Skills based on Multimodal Information in Group Discussions

Transactions of the Japanese Society for Artificial Intelligence

This paper focuses on developing a model for estimating communication skills of each participant in a group from multimodal (verbal and nonverbal) features. For this purpose, we use a multimodal group meeting corpus including audio signal data and head motion sensor data of participants observed in 30 group meeting sessions. The corpus also includes the communication skills of each participant, which is assessed by 21 external observers with the experience of human resource management. We extracted various kinds of features such as spoken utterances, acoustic features, speaking turns and the amount of head motion to estimate the communication skills. First, we created a regression model to infer the level of communication skills from these features using support vector regression to evaluate the estimation accuracy of the communication skills. Second, we created a binary (high or low) classification model using support vector machine. Experiment results show that the multimodal model achieved 0.62 in R 2 as the regression accuracy of overall skill, and also achieved 0.93 as the classification accuracy. This paper reports effective features in predicting the level of communication skill and shows that these features are also useful in characterizing the difference between the participants who have high level communication skills and those who do not.

Discrimination between Singing and Speaking Voices Using Local and Global Characteristics

2011

Discriminating between singing and speaking voices by using the local and global characteristics of voice signals is discussed. From the results of subjective experiments, we show that human beings can discriminate singing and speaking voices with more than 70.0% and 99.7% accuracy from 200 ms and one second long signals, respectively. From the subjective experiment results, assuming that different features are effective for short-term and long-term signals, we designed two measures using a spectral envelope (MFCC) and the fundamental frequency (F0, perceived as pitch) contour. Experimental results show that the F0 measure performs better than the spectral envelope measure when the input voice signals are longer than one second. Particularly, it can discriminate singing and speaking voices with 85.0% accuracy with two-second signals. On the other hand, when the input signals are shorter than one second, the spectral envelope measure performs better than the F0 measure. Finally, by s...

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不快音の脳波に及ぼす影響

Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene), 1984