TY - GEN
T1 - Towards cognitively plausible spatial representations for sketch map alignment
AU - Chipofya, M.
AU - Wang, Jia
AU - Schwering, Angela
PY - 2011/9
Y1 - 2011/9
N2 - Over the past years user-generated content has gained increasing importance in the area of geographic information science. Private citizens collect environmental data of their neighborhoods and publish it on the web. The wide success of volunteered geographic information relies on the simplicity of such systems. We propose to use sketch maps as a visual user interface, because sketch maps are intuitive, easy to produce for humans and commonly used in human-to-human communication. Sketch maps reflect users' spatial knowledge that is based on observations rather than on measurements. However, sketch maps, often considered as externalizations of cognitive maps, are distorted, schematized, incomplete, and generalized. Processing spatial information from sketch maps must therefore account for these cognitive aspects. In this paper, we suggest a set of qualitative spatial aspects that should be captured in representations of sketch maps and give empirical evidence that these spatial aspects are robust against typical schematizations and distortions in human spatial knowledge. We propose several existing qualitative spatial calculi to formally represent the spatial aspects, suggest appropriate methods for applying them, and evaluate the proposed representations for alignment of sketch maps and metric maps.
AB - Over the past years user-generated content has gained increasing importance in the area of geographic information science. Private citizens collect environmental data of their neighborhoods and publish it on the web. The wide success of volunteered geographic information relies on the simplicity of such systems. We propose to use sketch maps as a visual user interface, because sketch maps are intuitive, easy to produce for humans and commonly used in human-to-human communication. Sketch maps reflect users' spatial knowledge that is based on observations rather than on measurements. However, sketch maps, often considered as externalizations of cognitive maps, are distorted, schematized, incomplete, and generalized. Processing spatial information from sketch maps must therefore account for these cognitive aspects. In this paper, we suggest a set of qualitative spatial aspects that should be captured in representations of sketch maps and give empirical evidence that these spatial aspects are robust against typical schematizations and distortions in human spatial knowledge. We propose several existing qualitative spatial calculi to formally represent the spatial aspects, suggest appropriate methods for applying them, and evaluate the proposed representations for alignment of sketch maps and metric maps.
KW - cognitive qualitative representation
KW - qualitative spatial reasoning
KW - sketch alignment
KW - sketch map
KW - ITC-CV
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1007/978-3-642-23196-4_2
U2 - 10.1007/978-3-642-23196-4_2
DO - 10.1007/978-3-642-23196-4_2
M3 - Conference contribution
AN - SCOPUS:80053018054
SN - 9783642231957
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 20
EP - 39
BT - Spatial Information Theory - 10th International Conference, COSIT 2011, Proceedings
PB - Springer
T2 - 10th International Conference on Spatial Information Theory, COSIT 2011
Y2 - 12 September 2011 through 16 September 2011
ER -