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Dear all,

As promised, here are some interesting results of our human-cognitive study after 1 month. The study analyzes how humans are able to describe geographic features in OSM, in particular land-use feature.

Visit the study and participate if you still did not: http://hccvgi.informatik.uni-bremen.de/

Look to some results: http://hccvgi.informatik.uni-bremen.de/reports/index

Enjoy your holidays and Merry Christmas every one.

Dr. Ahmed Loai Ali

Contact:loai@uni-bremen.de

Dear all,

First, we are grateful to all (127) participants in our Study. Some people were great and complete the entire study, Some get bored and did not continue. However, visiting the study and sending us comments or feedback is a great honor for us.

The study is still running under http://hccvgi.informatik.uni-bremen.de/ and needs more participation. Give us 30 min of your precious time and participate. By the end of this week, we will publish some of the initial interesting results.

Thanks again

Bests, Dr. Ahmed Loai, Bremen Spatial Cognition Center (BSCS),

Contact: loai@uni-bremen.de

Dear All,

I have to apologize for that the study link was broken for couple of days. Bugs are already fixed and the study is work well waiting for your contributions. Please, use study http://hccvgi.informatik.uni-bremen.de/ to help science. Our research focuses on YOU (OSM users) and contributors. Participate in the study http://hccvgi.informatik.uni-bremen.de/ to see how perfect you are in recognizing landuse areas.

Dear Folks,

We are computer scientists concerning with analyzing the data quality of your great contributions. To help us, please feel free to participate in our cognitive study. It is simple and takes about 30 min. Your feedbacks are more important for us for improvements. Press here to participate http://hccvgi.informatik.uni-bremen.de/

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Dear Folks,

We are computer scientists concerning with analyzing the data quality of your great contributions. To help us, please feel free to participate in our cognitive study. It is simple and takes about 30 min. Your feedbacks are more important for us for improvements. Press here to participate http://hccvgi.informatik.uni-bremen.de/

Thank you in advance

Dr. Ahmed Loai Ali loai@informatik.uni-bremen.de

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

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, Bremen-Mitte, Stadtgebiet Bremen, Bremen, 28195, Germany