A Robot-Based Cognitive Assessment Model Based on Visual Working Memory and Attention Level

Author(s):  
Ali Sharifara ◽  
Ashwin Ramesh Babu ◽  
Akilesh Rajavenkatanarayanan ◽  
Christopher Collander ◽  
Fillia Makedon
2010 ◽  
Vol 6 (6) ◽  
pp. 1091-1091
Author(s):  
S. Offen ◽  
D. Schluppeck ◽  
D. J. Heeger

2010 ◽  
Vol 5 (8) ◽  
pp. 422-422
Author(s):  
D. A. Varakin ◽  
D. T. Levin

2010 ◽  
Vol 9 (8) ◽  
pp. 168-168
Author(s):  
S. Offen ◽  
J. Gardner ◽  
D. Schluppeck ◽  
D. Heeger

2013 ◽  
Vol 368 (1628) ◽  
pp. 20130061 ◽  
Author(s):  
Andrew Hollingworth ◽  
Seongmin Hwang

We examined the conditions under which a feature value in visual working memory (VWM) recruits visual attention to matching stimuli. Previous work has suggested that VWM supports two qualitatively different states of representation: an active state that interacts with perceptual selection and a passive (or accessory) state that does not. An alternative hypothesis is that VWM supports a single form of representation, with the precision of feature memory controlling whether or not the representation interacts with perceptual selection. The results of three experiments supported the dual-state hypothesis. We established conditions under which participants retained a relatively precise representation of a parcticular colour. If the colour was immediately task relevant, it reliably recruited attention to matching stimuli. However, if the colour was not immediately task relevant, it failed to interact with perceptual selection. Feature maintenance in VWM is not necessarily equivalent with feature-based attentional selection.


NeuroImage ◽  
2007 ◽  
Vol 36 (2) ◽  
pp. 441-453 ◽  
Author(s):  
Jutta S. Mayer ◽  
Robert A. Bittner ◽  
Danko Nikolić ◽  
Christoph Bledowski ◽  
Rainer Goebel ◽  
...  

Author(s):  
Myounghoon Jeon

Use of multimodal displays is getting more prevalent in Human Factors and Human-Computer Interaction. Existing information processing models and theories predict the benefits of multimodality in user interfaces. While the models have been refined regarding vision, more granularity is still required regarding audition. The existing models mainly account for verbal processing in terms of representation, encoding, and retrieving, but these models do not provide sufficient explanations for nonverbal processing. In the present paper, I point out research gaps in nonverbal information processing of the representative models at the working memory and attention level. Then, I propose a preliminary conceptual model supported by neural and behavioral level evidence, and provide evaluations of the model and future works.


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