Key Note Speaker
Georg Gartner , President of the International Cartographic Association
Institute of Geoinformation and Cartography, Vienna University of Technology
Georg Gartner is a Full Professor at the Research Group in Cartography at the Vienna University of Technology. He holds graduate qualifications in geography and cartography from the University of Vienna and received his Ph.D. and his Habilitation from the Vienna University of Technology. He was awarded a Fulbright grant to the University of Nebraska at Omaha in 1997 and a research visiting fellowship to the Royal Melbourne Institute of Technology in 2000, to South China Normal University in 2006 and to the University of Nottingham in 2009. He is Dean of Academic Affairs for Geodesy and Geoinformation at Vienna University of Technology. He is responsible organizer of the International Symposia on Location Based Services & TeleCartography and Editor of the Book Series “Lecture Notes on Geoinformation and Cartography” by Springer and Editor of the Journal on LBS by Taylor & Francis.
Abstract: Emotional Mapping
Every human perceives urban space differently. Some places are seen to be unsafe, others as especially beautiful. This perception is subjective and emotions of the person influence it. The research domain on emotional mapping deals with collecting subjective perception of space and deriving maps of it. This can be done by applying different methodologies, such as interviewing a group of test persons about their emotional relations and combining all their answers and drawings into relevant databases and maps.
In this contribution the current status of a project called “EmoMap” will be presented. In this project we try to use the option of volunteered geographic information (VGI) to collect emotional views cities by allowing users of a Web 2.0 community to contribute and share their emotions. The data collection will be done in-situ with current smartphones. Compared to the traditional method this brings the advantage that the collected data is of a more punctual type, e.g. an emotion is not associated with a large area but a point or a small area. Also, the data of many different users can be stored independently without the need to make an aggregation towards one average data set. This allows findings on how specific groups of users perceive their environment, e.g. people of type A think this place is unsafe. This information can be used to design user-adaptive mobility services. For EmoMap we focus on using the collected data for modified route calculation in pedestrian navigation systems. The hereby developed methods and algorithms will then be tested for the hypothesis that the inclusion of emotional data can improve user satisfaction. All VGI collected during the project EmoMap will be stored in an open online database (OpenEmotionMap.org). Privacy concerns will be addressed.
OpenEmotionMap will we open for other projects and can be used, filled and developed by the community continually.