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28th International Congress of Psychology August 8 ... - U-netSURF

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1063.129 Is the central executive component <strong>of</strong> working memory a better predictor <strong>of</strong> general<br />

fluid intelligence? Chang Liu, Xiaojiang Zhang, Yun Tian, Yanan Wang, Nanjing Normal<br />

University, China<br />

Conway et al. (2002) reported that working memory (WM) capacity, but not short-term memory<br />

capacity or processing speed is a good predictor <strong>of</strong> general fluid intelligence (gF). This study<br />

investigated the relationships among processing speed, WM capacity, the central executive<br />

component <strong>of</strong> WM, short-term memory capacity and gF. Multiple measures <strong>of</strong> each <strong>of</strong> these<br />

constructs were obtained from 265 healthy young adults. Structural equation modeling revealed<br />

that the central executive component <strong>of</strong> WM is a better predictor <strong>of</strong> gF than WM capacity.<br />

This research was supported by the Foundation for the Author <strong>of</strong> National Excellent Doctoral<br />

Dissertation <strong>of</strong> China (200006).<br />

1063.130 Continuous estimation <strong>of</strong> the executive functions in random number generation,<br />

Fumihiko Itagaki, Asia University, Japan<br />

The present study demonstrated a continuous analysis method <strong>of</strong> random number generation<br />

(RNG) task. The method was developed from the Axis model <strong>of</strong> RNG where randomness was<br />

decomposed into indices <strong>of</strong> two functional strategies including updating, inhibition, and <strong>of</strong><br />

Baddeley’s episodic buffer. Thirty participants were asked to produce a sequence <strong>of</strong> 500 random<br />

numbers. The results showed that method made it possible to estimate fluctuation <strong>of</strong> the indices<br />

continuously through the course <strong>of</strong> the performance except first 100 responses. The method will<br />

be the suitable tools to detect gain and loss <strong>of</strong> attentional resources in dual task situation.<br />

1063.131 The role <strong>of</strong> activation in working memory scanning, Robert Balas 1 , Jaroslaw<br />

Orzechowski 2 , Kamila Migasiewicz 2 , 1 Warsaw School <strong>of</strong> Social <strong>Psychology</strong>, Poland;<br />

2<br />

Jagiellonian University, Cracow, Poland<br />

The purpose <strong>of</strong> the study was to determine particular activation mechanisms in working memory<br />

scanning. According to the two-phase model <strong>of</strong> WM scanning the process involved parallel and<br />

automatic reorganization <strong>of</strong> information (phase 1) and sequential and controlled search for target<br />

information (phase 2). The time and accuracy <strong>of</strong> target identification depends on its<br />

discriminability from other stimuli stored in WM. The experiment was conducted in modified<br />

Sternberg's paradigm. The discriminability was manipulated by presenting subthreshold stimuli<br />

before the target. The results support the thesis that stimulus discriminability based on its<br />

activation is plays crucial role in WM scanning.<br />

1063.132 Effect <strong>of</strong> position in working memory scanning, Krzyszt<strong>of</strong> T. Piotrowski, Zbigniew<br />

Stettner, Jagiellonian University, Poland<br />

According to WM activation models every information stored in WM is activated. Information<br />

that is currently in the focus <strong>of</strong> attention is the highest activated but its activation decreases in time.<br />

Contemporary models <strong>of</strong> WM scanning (e.g. two-phases model) suggest that time and accuracy <strong>of</strong><br />

target identification depends on its activation. In serial presented set, activation <strong>of</strong> the element<br />

should depend on the position. Experiment was conducted in Sternberg’s paradigm. Position effect<br />

was measured in different set sizes and for different target positions in the set. The results allow to<br />

suppose that activation degree depends on position in the set.<br />

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