OpenStreetMap

Influence of Human Cognition on Data Classification... Help Science and Participate in short Study

Posted by loai_84 on 29 November 2017 in English (English)

Dear participants,

Thanks to the folks who already participated in the study. We are computer scientists concerning with human cognition influence on data classification of voluntary geographic contents like OpenStreetMap. To participate in the study (it takes 25-30 min) press here

The Study consists of 4 steps:

  • Step 1: participant information data collection. We do not collect any personal identifiable data, but we are interested of only general information like gender, education, ...etc. Step1

  • Step 2: landuse classification of some objects based on CORINE standard classification schema Step2a Step2b

  • Step 3: classification plausibility of some objects, where one object could have more the one valid categories with various degrees Step3a Step3b

  • Step 4: Task Load indeX (TLX-NASA) questionnaire developed by NASA to measure subjectivity of mental efforts of each task. We use it to see how much your mental effort influence your classification choices Step4

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 a 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. Actually, assigning a proper category for an object depends on

  1. the way human interacts with this object,
  2. the geographic context of the object and its symbolic representation, and
  3. geographic conceptualization of data providers.

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

Comment from Warin61 on 29 November 2017 at 21:08

HI, There is a poor choice of words in the takbe - level 1 ... "Artificial surface" ... the surface is not a "landuse". I know what you are getting at .. but those words are wrong and may obtain wrong results.

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