OpenStreetMap

A user study to understand human cognition influence on data classification quality

Posted by grass_and_green on 23 November 2017 in English (English)

Dear participants,

Thank you for helping science and supporting voluntary geographic contents. The contents which have been exclusively collected by voluntary efforts. In these contents, public with local knowledge is the main source of information. Thus, we are (as a computer scientist) concerning with human cognition influence on data classification. Human perceives things differently.

For example, regarding landuse/landcover classification, we could agree on that a parcel of land is covered by grass or water which is an abstract level of classification. However, whether this parcel is a park, a garden, a cemetery, or even a golf court might be perceived differently. Whether this water body is a pond, a lake or a reservoir likely requires finer measures, geographic knowledge, and particular expertise.

Therefore, we developed a study to understand more about how people perceive geographic contents remotely. The study aims to:

  • find out human capabilities to provide landuse data.
  • understand the influence of classification mechanism and schema on data quality.
  • study human behaviors in providing voluntary data, and
  • emphasis challenges of data classification in voluntary contents.

The study takes about 25-30 min. We do not collect any personally identifiable information. Thank you again for your time and your contribution. To participate in the study press here

Don't hesitate to contact me for further comments and feedbacks.

Best regards,

Dr. Ahmed Loai Ali

loai@informatik.uni-bremen.de

Location: Altstadt, Mitte, Stadtbezirk Bremen-Mitte, Bremen, Free and Hanseatic City of Bremen, 28195, Germany

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