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eParticipation |
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Im Rahmen der Entwicklung hin zu einer "Hochgeschwindigkeitsdemokratie" arbeiten wir an einer eParticipation-Plattform mit, die zur vermehrten Einbindung interessierter BürgerInnen in politische, insbesondere parlamentarische Prozesse führen soll. Das Spektrum reicht dabei von Ideenfindungsprozessen bis hin zur Kommentierung von Gesetzesvorlagen. Besonders interessant sind dabei Konzepte zur nachhaltigen Beteiligung und zur Überwindung der Schwelle zwischen physischer und Online-Diskussion. |
| If you're interested, please contact Peter Reichl (peter.reichl@univie.ac.at) |
CoCoVis: Visualizing Multi-Sensorial Time Series Data - vergeben |
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The CoConUT project (http://coconut.cosy.wien) features smartphone apps which collect sensor data (location, speed, noise, nearby Bluetooth devices, heart rate, etc.) for each participant during mobile field studies. Result is a time series which shows information about the context and possibly interesting events the field study participants encountered („Why did the participant slow down on the corner?“, „Why were so many people present nearby during this time period?“, etc.). The data sets hereby consist of sensor data collected during a field study on the participants' smartphones. These time series data should be visualized in a web app and enriched by meaningful analyses to enable exploration and potentially reasoning. Requirements: You have already attended either the Vis and/or the HCI lecture and had good grades. You are fit in Android programming. You don't shy away from statistics. |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
Mobile CoCoVis: Visualizing Multi-Sensorial Time Series Data on a Smartphone Screen - open |
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The CoConUT project (http://coconut.cosy.wien) features smartphone apps which collect sensor data (location, speed, noise, nearby Bluetooth devices, heart rate, etc.) for each participant during mobile field studies. Result is a time series which shows information about the context and possibly interesting events the field study participants encountered („Why did the participant slow down on the corner?“, „Why were so many people present nearby during this time period?“, etc.). The data sets hereby consist of sensor data collected during a field study on the participants' smartphones. These time series data should be visualized in the smartphone app itself and enriched by meaningful analyses to enable exploration and potentially reasoning. Focus hereby lies on the visualization for small device screens (smartphone / tablet). Requirements: You have already attended either the Vis and/or the HCI lecture and had good grades. You are fit in Android programming. You don't shy away from statistics. |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
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