TY - GEN
T1 - Cognitive human-computer interactions approach to support visual analytics in multi-dimensional environments
AU - Carter, Justin
AU - Levin, Eugene
PY - 2012
Y1 - 2012
N2 - The main goal of geospatial technologies in various multi-dimensional environments is to provide decision makers with relevant information at optimal time intervals. Some of the most challenging application scenarios, where visual analytics is important, are associated with efficient decision support during anthropogenic and natural environmental accidents, such as floods, hurricanes, earthquakes, oil spills, terrorist attacks, and others. The time required for processing information is critical in each scenario. Despite advances in automated geospatial image processing, the "human in the loop" is still necessary because current applications depend upon complex algorithms and adequate classification rules can only be provided by skilled geospatial professionals. Given the limited number of human GIS/image analysts at any organization deploying multi-dimensional environments, the rational and efficient use of their time is important. One of the most obvious ways to optimize image analyst's workflow is to develop human-computer interactions method that will take less of their time to perform operations and will not interrupt their attention from primary tasks. Specifically, potentially innovative and promising solutions for the problem can be associated with applying human-centric geospatial technologies as a way to utilize human-computer symbiosis for accelerated control of the vast amounts of geospatial data processing. The ultimate goal of cognitive geospatial technology research and development is establishing an interactive geospatial environment optimizing decision support workflow, making it more efficient and accelerating productivity by producing automatic reactions to an analyst's attention, emotions, and minds. This paper describes innovative approach and research experiments on integrating wireless wearable electroencephalography (EEG) device within geospatial technology workflow. Preliminary results indicate opportunities of design geospatial systems controlled by "power of the human mind".
AB - The main goal of geospatial technologies in various multi-dimensional environments is to provide decision makers with relevant information at optimal time intervals. Some of the most challenging application scenarios, where visual analytics is important, are associated with efficient decision support during anthropogenic and natural environmental accidents, such as floods, hurricanes, earthquakes, oil spills, terrorist attacks, and others. The time required for processing information is critical in each scenario. Despite advances in automated geospatial image processing, the "human in the loop" is still necessary because current applications depend upon complex algorithms and adequate classification rules can only be provided by skilled geospatial professionals. Given the limited number of human GIS/image analysts at any organization deploying multi-dimensional environments, the rational and efficient use of their time is important. One of the most obvious ways to optimize image analyst's workflow is to develop human-computer interactions method that will take less of their time to perform operations and will not interrupt their attention from primary tasks. Specifically, potentially innovative and promising solutions for the problem can be associated with applying human-centric geospatial technologies as a way to utilize human-computer symbiosis for accelerated control of the vast amounts of geospatial data processing. The ultimate goal of cognitive geospatial technology research and development is establishing an interactive geospatial environment optimizing decision support workflow, making it more efficient and accelerating productivity by producing automatic reactions to an analyst's attention, emotions, and minds. This paper describes innovative approach and research experiments on integrating wireless wearable electroencephalography (EEG) device within geospatial technology workflow. Preliminary results indicate opportunities of design geospatial systems controlled by "power of the human mind".
KW - Cognitive GIS
KW - EEG
KW - HCI. Human-computer symbiosis
UR - http://www.scopus.com/inward/record.url?scp=84873512226&partnerID=8YFLogxK
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AN - SCOPUS:84873512226
SN - 9781622764068
T3 - American Society for Photogrammetry and Remote Sensing Annual Conference 2012, ASPRS 2012
SP - 63
EP - 70
BT - American Society for Photogrammetry and Remote Sensing Annual Conference 2012, ASPRS 2012
T2 - American Society for Photogrammetry and Remote Sensing Annual Conference 2012, ASPRS 2012
Y2 - 19 March 2012 through 23 March 2012
ER -