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Benchmarking |
Detecting |
Looking Across the Cognitive Health Spectrum
PICSSi's multi-modal, multi-domain has the capacity
Key PICSSi Applications
• TAKE5! ReSet-A - Minimally disruptive, on-demand solution to help reset attention and focus with applications for both children and adults with ADHD and other attention and executive function challenges in school and work environments.
• PICSSi Prime - Personalized assessments for tracking changes over time and interventional solutions to help stem the tide of cognitive decline in older adults, and for people across the cognitive spectrum.
• PICSSi 360° - Multi-modal, multi-domain cognitive engagement tool (view-only to hands-on options) to meet dynamic recovery needs for patients following Stroke/TBI.
• PICSSi Pro - Proactive Progression Monitoring. Designed to monitor and track cognitive health status changes over time for building Cognitive Profiles (point-in-time) and Cognitive Signatures (changes over-time) towards improving early detection and predictive analytics for detecting subtle changes associated with disease/condition progression and drug safety monitoring.
• periCOG - Perioperative Risk Management Screening tool to identify patients at-risk for post-operative cognitive issues and to support long-term tracking of changes in cognitive health status.
TAKE5! ReSet-A
Using Enriched Stimuli to RESET Attention
Students w/ADHD: Student #1 || Student #2
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A Gestalt Perspective on Images - the PICSS Platform Story | |
multi-stable image set
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stable image set
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It is said that a picture is worth a thousand words - all the more so a composite of two or more content-rich images. The figure-ground image sets are generated by serially juxtaposing sections from multiple pictures - a logical puzzle that embeds multiple Gestalt principles (figure-ground, symmetry, closure, similarity).
Each figure-ground image set portrays the illusion of depth and while all image combinations convey this attribute, a function related in part to differences in brightness, not all image combinations behave the same. These image sets are a type of ambiguous image portraying dynamic figure-ground properties. Below are several popular examples of binary, bi-stable ambiguous images. (1)
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Depending on the image combinations, different image sets are perceived as being stable or are categorized as bi-/multi-stable percepts. The "stability" refers to whether or not an image set is perceived to exist in more than one figure/ground state. If it does, then the viewer perceives a switch occurring between which image occupies the ground position at any one point in time.
In addition to identifying key attributes, image features, that could be used to predict whether an image combination is stable or multi-stable, what became evident is that image parts interact with another within an image and between images, impacting our perception and understanding of image scenes. These properties, together with hierarchical relationships can be exploited to better evolve image/scene properties, hone visual attention, personalize cognitive assessments, and understand extractable features for both AI and human cognition.
Click here for more about image-1st tools
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