Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Abteilungen OPUS4-2602 Wissenschaftlicher Artikel Hijazi, Ihab Hamzi; König, Reinhard; Schneider, Sven; Li, Xin; Bielik, Martin; Schmitt, Gerhard; Donath, Dirk Geostatistical Analysis for the Study of Relationships between the Emotional Responses of Urban Walkers to Urban Spaces The described study aims to find correlations between urban spatial configurations and human emotions. To this end, the authors measured people's emotions while they walk along a path in an urban area using an instrument that measures skin conductance and skin temperature. The corresponding locations of the test persons were measured recorded by using a GPS-tracker (n=13). The results are interpreted and categorized as measures for positive and negative emotional arousal. To evaluate the technical and methodological process. The test results offer initial evidence that certain spaces or spatial sequences do cause positive or negative emotional arousal while others are relatively neutral. To achieve the goal of the study, the outcome was used as a basis for the study of testing correlations between people's emotional responses and urban spatial configurations represented by Isovist properties of the urban form. By using their model the authors can explain negative emotional arousal for certain places, but they couldn't find a model to predict emotional responses for individual spatial configurations. 18 International Journal of E-Planning Research 1 19 urn:nbn:de:gbv:wim2-20160622-26025 10.25643/bauhaus-universitaet.2602 Junior-Professur Computational Architecture OPUS4-2514 Konferenzveröffentlichung König, Reinhard; Schneider, Sven; Hijazi, Ihab Hamzi; Li, Xin; Bielik, Martin; Schmitt, Gerhard; Donath, Dirk Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space 1 Sixth International Conference on Design Computing and Cognition (DCC14) urn:nbn:de:gbv:wim2-20160121-25146 10.25643/bauhaus-universitaet.2514 Professur Informatik in der Architektur OPUS4-3099 Wissenschaftlicher Artikel Xin, Li; Hijazi, Ihab Hamzi; König, Reinhard; Lv, Zhihan; Zhong, Chen; Schmitt, Gerhard Assessing Essential Qualities of Urban Space with Emotional and Visual Data Based on GIS Technique Finding a method to evaluate people's emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introduces an integrated method based on geographical information systems (GIS) and an emotion-tracking technique to quantify the relationship between people's emotional responses and urban space. This method can evaluate the degree to which people's emotional responses are influenced by multiple urban characteristics such as building shapes and textures, isovist parameters, visual entropy, and visual fractals. The results indicate that urban spaces may influence people's emotional responses through both spatial sequence arrangements and shifting scenario sequences. Emotional data were collected with body sensors and GPS devices. Spatial clustering was detected to target effective sampling locations; then, isovists were generated to extract building textures. Logistic regression and a receiver operating characteristic analysis were used to determine the key isovist parameters and the probabilities that they influenced people's emotion. Finally, based on the results, we make some suggestions for design professionals in the field of urban space optimization. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION urn:nbn:de:gbv:wim2-20170401-30995 10.3390/ijgi5110218 Junior-Professur Computational Architecture