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perccom_summer_school_2018:group1:start [2018/05/14 22:16]
mvillanueva 		perccom_summer_school_2018:group1:start [2018/05/20 19:32]
ger4ldine [Thesis Presentations Group 1]
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 **Supervisor(s):** Prof. Dr. Olaf Droegehorn\\ **Supervisor(s):** Prof. Dr. Olaf Droegehorn\\
 **Hosting Institution:** Hochschule Harz - University of Applied Sciences\\ **Hosting Institution:** Hochschule Harz - University of Applied Sciences\\
-**Abstract:** Homes and working spaces are considered significant contributors to the top percentage of energy consumption and carbon emissions worldwide (GeSI Report, 2017). Previous studies in the field of home- and building automation have demonstrated the sustainability gain brought by smart home solutions, in terms of energy-efficiency, economic savings, and enhanced living and working conditions. A major barrier, however, to the adoption of these solutions is the complexity and limited usability of user interfaces. In addition, various modes of interactions for the control and automation of residential environments are an emerging area of study within Human-Computer Interaction. As a response to these challenges, this study investigates the use of gestures as a natural way of controlling and interacting with home automation systems. Using available motion capture technologies, a gesture dictionary will be defined as a set of meaning actions both in free-form movements and digital artifact interaction, following gesture design heuristics. A usability test will be conducted to measure the resulting socio-technical aspects. Lastly, the study will present the analysis and effects of gestures control for a higher up-take of smart home solutions towards designing and maintaining buildings of the future that are both user-centric and resource efficient to reduce our overall carbon footprint.\\+**Abstract:** Homes and working spaces are considered significant contributors to the top percentage of energy consumption and carbon emissions worldwide (GeSI Report, 2017). Previous studies in the field of home- and building automation have demonstrated the sustainability gain brought by smart home solutions, in terms of energy-efficiency, economic savings, and enhanced living and working conditions. A major barrier, however, to the adoption of these solutions is the complexity and limited usability of user interfaces. In addition, various modes of interactions for the control and automation of residential environments are an emerging area of study within Human-Computer Interaction. As a response to these challenges, this study investigates the use of gestures as a natural way of controlling and interacting with home automation systems. Using available motion capture technologies, a gesture dictionary will be defined as a set of meaning actions for in-air free-form movements. A usability test will then be conducted to measure the resulting socio-technical aspects. Lastly, the study will present the analysis and effects of gestures control for a higher up-take of smart home solutions towards designing and maintaining buildings of the future that are both user-centric and resource efficient to reduce our overall carbon footprint.\\
 **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\ **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\
  
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-**Title:**  insert title\\ +**Title:** Grid Metrics for Network Sustainability \\ 
-**Author:** Lastname, Name\\  +**Author:** Villers, Geraldine\\ 
-**Supervisor(s):** insert names separated by semicolons\\ +**Supervisor(s):** Eric Rondeau; Jean-Philippe Georges\\ 
-**Hosting Institution:** insert name of hosting Unviersity(ies)\\+**Hosting Institution:** Université de Lorraine\\
 **Abstract:** Insert thesis abstract(200 words)\\ **Abstract:** Insert thesis abstract(200 words)\\
 **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\ **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\