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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) |
From Short Term to Long Term - Enhancing the Functionalities of a Mobile Field Study ToolkitCoCoVis: Visualizing Multi-Sensorial Time Series Data (together with Prof. Torsten Möller) |
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| The CoConUT Toolkit ("Context Collection for non-stationary User Testing" - project (coconut.cosy.wien) is a framework for supporting short-term mobile field studies. It features several apps and wearables which collect quantitative and qualitative data about surrounding context and human behavior directly in the field.So far the framework is mainly aiming at supporting short-term studies (duration up to 2 hours), but not all potential testing scenarios are covered by that. To enhance CoConUT's functionality to support long-term field study support, several adjustments to the existing concept and of course the implementation have to be made.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.). These time series data should be visualized and enriched by meaningful analyses to enable exploration and potentially reasoning. The data set consists of sensor data which is collected each second during a field study on the participant’s smartphone. The app can be downloaded from the App Store and you can create your own data sets: https://play.google.com/store/apps/details?id=at.ac.univie.cosy.coconut |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
CoCoVis: Visualizing Multi-Sensorial Time Series Data (together with Prof. Torsten Möller) |
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| The CoConUT project (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.). These time series data should be visualized and enriched by meaningful analyses to enable exploration and potentially reasoning. The data set consists of sensor data which is collected each second during a field study on the participant’s smartphone. The app can be downloaded from the App Store and you can create your own data sets: https://play.google.com/store/apps/details?id=at.ac.univie.cosy.coconut |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
Bringing CoConUT into the Cloud |
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| The CoConUT toolkit ("Context Collection for non-stationary Use Testing" - http://coconut.cosy.wien) is a framework for supporting short-term mobile field studies, e.g. usability tests on smartphones in realistic environments. It features several apps and wearables which collect quantitative and qualitative data about surrounding context and human behavior directly in the field. In this thesis / praktikum you will enhance the toolkit by a cloud-based web server on which the data gathered in field studies will be sent to, stored and preliminarily analyzed. Moreover, a frontend web application should be implemented which will be used by operator for field studies configuration and studies' results analysis presented using e.g. logs or charts. With this data the field study operator can review the course of the current study and get a first overview over the gathered data. |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at) and Nemanja Ignjatov (nemanja.ignjatov@univie.ac.at). |
Bursts of Interaction across App Types and Times of Day |
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Oulasvirta et al. (2005) https://dl.acm.org/citation.cfm?id=1055101 showed that interaction during mobile web browsing occured in "interaction bursts" of 4 seconds. Although this research happened more than 10 years ago, today mobile interaction in the wild still happens in "bursts" due to contextual factors. In this work a study app will be developed which enables long time measurements of interaction bursts across app types (web browsing, chatting, etc.) and across times of day in the background of the participants' smartphones. This data will be gathered and analyzed in order to show patterns in interaction, e.g. different types of interaction "bursts". |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
Language Learning on the Go |
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| Nowadays learning a new language is as easy as never before. Dozens of apps enable learners to engage in language learning while being on the move, for example while commuting to university / work. This so called „micro learning“ therefore happens in a multiplicity of different contexts and with different levels of attention the learner can spare for the learning task. In this thesis / praktikum you will build on an existing micro language learning app and try to find out how, when and where users prefer to improve their language skills. |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
The mechanics of Digital Paper Chase: GeoCaching under the Microscope |
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| GeoCaching is still a very popular recreational activity among all sorts of geeks and non-geeks, since it combines solving puzzles, mastering technology and physical activity all while being outdoors. While there a lot of good geocaching apps (c:geo, GCC), some features are still missing, for example an app of easy discovery of trackables for Android (see TBScan for iOS). In this thesis you will develop an Android app for Geocaching and conduct a user study in the field to find out more about current geocaching practices. In this new app you will additionally collect anonymized data about usage behavior and context in the field, which you will then analyze to gain a deeper understanding about current geocaching practices. (Oh, and it's a bonus if you're already a geocacher! But it's not a must.) |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
Bursts of Interaction across App Types and Times of Day |
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Oulasvirta et al. (2005) https://dl.acm.org/citation.cfm?id=1055101 showed that interaction during mobile web browsing occured in "interaction bursts" of 4 seconds. Although this research happened more than 10 years ago, today mobile interaction in the wild still happens in "bursts" due to contextual factors. In this work a study app will be developed which enables long time measurements of interaction bursts across app types (web browsing, chatting, etc.) and across times of day in the background of the participants' smartphones. This data will be gathered and analyzed in order to show patterns in interaction, e.g. different types of interaction "bursts". |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at). |
The mechanics of Digital Paper Chase: GeoCaching under the Microscope |
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| GeoCaching is still a very popular recreational activity among all sorts of geeks and non-geeks, since it combines solving puzzles, mastering technology and physical activity all while being outdoors. While there a lot of good geocaching apps (c:geo, GCC), some features are still missing, for example an app of easy discovery of trackables for Android (see TBScan for iOS). In this thesis you will develop an Android app for Geocaching and conduct a user study in the field to find out more about current geocaching practices. In this new app you will additionally collect anonymized data about usage behavior and context in the field, which you will then analyze to gain a deeper understanding about current geocaching practices. (Oh, and it's a bonus if you're already a geocacher! But it's not a must.) |
User Understandable Attribute-Based Access Control (ABAC) in a Smart Home Environment |
"Allow access to resource #bulb with attribute role=#lightsource if Subject match #parent and action is #turnon" - "Can I turn on the lights now or what?!" Attribute Based Access Control (ABAC) is a new approach to access control in diverse environments which has gained significance over the last years in the light of current IoT frameworks. Its flexible way of specifying, modifying and finally granting entities access to a heterogeneous mixture of devices, spaces and services is perfect for the new smart world. But are the underlying concepts really understandable? How could a usable interface for the end-users look like to be efficient and prevent non-recoverable errors or other serious mistakes? In this thesis an existing implementation of Attribute Based Access Control (ABAC) for a smart-home environment will be tested with real end users how understandable the user interface and its underlying concepts are. Based on those findings the interface will be adapted. This iterative process of testing will be conducted in the COSY:Lab, which could for example involve Wizard of Oz testing techniques (or else, as you like...). |
| If you're interested, please contact Svenja Schröder (Svenja.schroeder@univie.ac.at) and Nemanja Ignjatov (nemanja.ignjatov@univie.ac.at). |
Mobile Application for ABAC-enabled Smart-Home management |
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"Develop mobile application that enables control, monitoring and analytics in the Smart-Home secured with ABAC". Make use of the existing solution Smart-Home in COSY:Lab to develop novel mobile application and improve usability of the already integrated sensors and actuators - DHT, Philips Hue... This thesis will have two main aspects:
Testing and verification will be conducted in the COSY:Lab using existing equipment and development and verification environment. |
| If you're interested, please contact Nemanja Ignjatov (nemanja.ignjatov@univie.ac.at) and Christian Löw (christian.loew@univie.ac.at) |
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