Corresponding Author Information: Ryo Matsuda

Session Abstract: This study aimed to investigate how negative attentional bias, the tendency to easily attend to negative emotional stimuli, affects response processes on the Rorschach Inkblot Method (RIM). Negative attentional bias is one cognitive tendency seen in people who experience high levels of depression or anxiety. A function of visual attention largely involves the processes for producing Rorschach responses, and in response processes, subjects find various visual images including uncomfortable objects; therefore, an affect of emotional attentional bias to Rorschach response process is expected. To reveal this hypothesis, the present study measured participants' attentional bias using the Word-face Stroop Task (WFST), which requires participants to judge emotional valences (happy/sad) of words overlaid on facial expressions, and compared these cognitive traits with some Rorschach variables. Forty undergraduate participants completed the RIM and WFST. Some Rorschach variables which relate to emotional interpretation were analyzed. On the WFST, the degree of ease in attending to sad faces (negative interference), happy faces (positive interference) and the difference between the two interferences (negative bias) were each calculated by reaction time discrepancies between the conditions. Results of correlation analysis indicated that the achromatic color response (SumC') and some shading responses (SumV, SumY) have negative correlations with positive interference, whereas chromatic color responses (FC, CF, C, WSumC) have no significant relationships with the WFST. In addition, some contents were also analyzed; these results showed positive correlations between negative bias and blood response (Bl) and morbid response (MOR). These results presented the following possibilities: cognitive tendencies, such as barely attending to positive stimuli or easily attending to negative stimuli, encourage respondents to produce certain Rorschach responses including achromatic color responses, shading responses, and several types of content.

Presenters:

Ryo Matsuda | Chukyo University, Nagoya, Aichi

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