p3: contents ready

master p3-rc0
Clemens Klug 2018-07-26 16:34:43 +02:00
parent 7995172970
commit d150f74d79
3 changed files with 67 additions and 229 deletions

Binary file not shown.

After

Width:  |  Height:  |  Size: 36 KiB

BIN
PresTeX/images/eval.jpg Normal file

Binary file not shown.

After

Width:  |  Height:  |  Size: 133 KiB

View File

@ -100,51 +100,21 @@ compress
%%%%%%%%%% Content starts here %%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Location based Games}
\begin{frame}{Location based Games}
\framesubtitle{Put the 'fun' in education}
\section{A Framework for the Analysis of Spatial Game Data}
\begin{frame}{A Framework for the Analysis of Spatial Game Data}
\framesubtitle{Goal definition}
\begin{columns}
\column{0.55\linewidth}
Intersection of GIS and gaming technology\footnotemark
\column{0.49\linewidth}
Geogames: Intersection of GIS and gaming technology\footnotemark
\begin{itemize}
\item Game actions tied to real-world spatial places ('Break the magic circle')%TODO citation
\item Game actions tied to real-world spatial places ('Break the magic circle')
\item Locomotion as essential game part
\item Trade-offs between board and race style games\footnotemark
\item Foster recognition of environment
\item Focus through game related tasks
\end{itemize}
\column{.45\linewidth}
\image{.5\textwidth}{gg2}{Geogame map view}{img:gg2}
\end{columns}
\addtocounter{footnote}{-1}
\footcitetext{Ahlqvist2018}\stepcounter{footnote}
\footcitetext{1705427}
\end{frame}
\begin{frame}{Research with location based games}
\begin{columns}
\column{0.35\linewidth}
\begin{itemize}
\item Define mission statement
\item Build statistical framework
\item Questionnaires
\begin{itemize}
\item Pre
\item Post
\end{itemize}
\item {[Data entry]}
\item Statistical processing
\end{itemize}
\column{.6\linewidth}
\image{\textwidth}{biodiv-schaal}{Statistical framework for BioDiv2Go\footnotemark}{img:biodiv-schaal}
\end{columns}
%\addtocounter{footnote}{-1}
\footcitetext{Schaal2017}%\stepcounter{footnote}
\end{frame}
\section{Goal definition}
\begin{frame}{Goal definition}
\framesubtitle{A Framework for the Analysis of Spatial Game Data}
\column{.49\linewidth}
Scope of the analysis framework
\begin{itemize}
\item Framework for analysis
\item Two target groups:
@ -155,9 +125,13 @@ Intersection of GIS and gaming technology\footnotemark
\item Integration of external data (questionnaire results)
\item Adaptable for multiple games
\end{itemize}
\end{columns}
\addtocounter{footnote}{-1}
\footcitetext{Ahlqvist2018}\stepcounter{footnote}
\footcitetext{1705427}
\end{frame}
\begin{frame}{Components}
\begin{frame}{Framework components}
Prerequisites: Game log
\begin{itemize}
\item Creation
@ -173,123 +147,18 @@ New components
\end{itemize}
\end{frame}
\section{State of research}
\frame
{
\tableofcontents[sectionstyle=show/hide,hideothersubsections]
}
\subsection{Log processing}
\begin{frame}{Modern log processing stacks}
Technologies: Collection, Time-series databases, Frontend
\begin{itemize}
\item ELK (Elastic search, Logstash, Kibana)\autocite{andreassen2015monitoring} \autocite{yang2016aggregated} \autocite{steinegger2016analyse} \autocite{sanjappa2017analysis}
\item Collectd, Influx DB, Grafana \autocite{komarek2017metric}
\item
\end{itemize}
\begin{itemize}
\item[+] widely deployed
\item[+] powerful query languages %TODO example
\item mainly web/container/hardware monitoring
\item[-] spatial analysis: heavily anonymized
\item[-] fast-paced environment
\end{itemize}
\end{frame}
\subsection{Pedestrian traces}
\begin{frame}{Analyzing pedestrian movement}
\framesubtitle{… based on GPS logs}
\begin{itemize}
\item GPS overestimates systematically \autocite{Ranacher_2015}
\item GPS is a suitable instrument for spatio-temporal data\autocite{van_der_Spek_2009}
\item Activity mining \autocite{Gong_2014}
\begin{itemize}
\item Speed-based Clustering \autocite{ren2015mining}
%\item \autocite{Ferrante_2016} % closed access
\item Machine Learning \autocite{pattern_recog} %TODO
\end{itemize}
\item E.g.: Improve tourist management \autocite{tourist_analysis2012}
\end{itemize}
\end{frame}
\begin{frame}{Heatmap}
\image{.81\textwidth}{strava}{Heatmap: Fitnesstracker\autocite{strava}}{img:strava}
\end{frame}
\begin{frame}{Space-time cube}
\image{.72\textwidth}{space-time}{Space-time cube examples\autocite{bach2014review}}{img:spacetime}
\end{frame}
\begin{frame}{Trajectory patterns}
\image{\textwidth}{traj-pattern}{Flock and meet trajectory pattern\autocite{jeung2011trajectory}}{img:traj-pattern}
\end{frame}
\begin{frame}{Generalization}
\image{\textwidth}{generalization}{Trajectories and generalizations with varying radius parameter \autocite{adrienko2011spatial}}{img:generalization}
\end{frame}
\subsection{Analyzing games}
\begin{frame}{Analyzing games}
\begin{itemize}
\item there's more than heatmaps
\item combine position with game actions
\item identify patterns, balancing issues
\item manual processes %\citetitle{Drachen2013}\citetitle{AHLQVIST20181}
\end{itemize}
\vspace{-42pt}
%\image{.5\textwidth}{game-an}{chat logs with players location \autocite{Drachen2013}}{img:chatlogs}
%\image{.5\textwidth}{ac3-death}{identify critical sections \autocite{Drachen2013}}{img:ac3death}
\twofigures{0.5}{game-an}{Chat logs with players location}{img:chatlogs}{ac3-death}{Identify critical sections}{img:ac3death}{Game analytics \cite{Drachen2013}}{fig:gameanal}
\end{frame}
%\subsection{Location based games}
\subsection{Summary}
\begin{frame}{Summary}
\begin{itemize}
\item Log processing: Powerful stacks
\item Movement analysis: Large field already explored (GPS influence, Patterns, Behavior recognition, …)
\item Track rendering: Track (with attributes), Space-time cube, Heatmap, …
\item Spatial analysis of digital games with GIS
\item Analysis of location based games: Laborious manual process
\end{itemize}
\end{frame}
\section{Solution approach}
\frame
{
\tableofcontents[sectionstyle=show/hide,hideothersubsections]
}
\subsection{Requirements}
\begin{frame}{Requirements}
\framesubtitle{Wait, what did I want to do again?}
\begin{itemize}
\item Per-game importer (Web client, File loader, …)
\item Analyzer modules (number crunching)
\item Output \& Visualization (CSV, [Geo]JSON, KML, Graphs, …)
\item Interface (Configuration)
\begin{itemize}
\item Expert users/researchers
\item Staging/designing staff
\end{itemize}
\item Cross-game comparisons
\item Integration of external data (questionnaire results)
\end{itemize}
\end{frame}
\subsection{Architecture}
\begin{frame}{Experiment: Kibana}
\image{.85\textwidth}{kibana}{Game trace in Kibana}{img:kibana}
\end{frame}
\begin{frame}{Experiment: Kibana}
\image{.85\textwidth}{kibana2}{Game trace in Kibana}{img:kibana2}
\end{frame}
\begin{frame}{Experiment: Grafana}\hspace{.3\textwidth}a\\[-24pt]
\image{.85\textwidth}{grafana}{Side project: Weather station with Grafana}{img:grafana}
\end{frame}
\section{Modular map-reduce architecture}
\begin{frame}{Architecture}
Log processing turn-key solutions
\begin{itemize}
\item fast update cycles
\item low spatial resolution
\item query languages as entry barrier
\end{itemize}
Custom stack solution
\begin{itemize}
\item Based on map-reduce
\item Map: Analysis
@ -309,7 +178,7 @@ Technologies: Collection, Time-series databases, Frontend
\end{itemize}
\end{itemize}
\end{frame}
\begin{frame}{Architecture scheme}
\begin{frame}{Log processing scheme}
\image{\textwidth}{../../ThesTeX/images/map-reduce.pdf}{Data flows}{img:flow}
\end{frame}
@ -318,39 +187,9 @@ Technologies: Collection, Time-series databases, Frontend
%%%%%%%%%%%%%%%%%%%%
\section{Implementation}
\section{Microservice oriented implementation}
\subsection{Technologies}
\begin{frame}{Implementation}
\begin{columns}
\column{0.55\linewidth}
Analysis
\begin{itemize}
\item Python (3.6)
\item Standalone library/CLI tool
\item Web based configuration/Runner/API (Flask, Celery)
\end{itemize}
Rendering
\begin{itemize}
\item Matplotlib, Numpy
\begin{itemize}
\item Graphs
\end{itemize}
\item Javascript
\begin{itemize}
\item Leaflet
\item Web visualization: Maps, Tracks, …
\end{itemize}
\end{itemize}
\pic{.5\textwidth}{matplotlib}
\column{0.4\linewidth}
\pic{.5\textwidth}{python}
\pic{.4\textwidth}{flask}
\pic{.4\textwidth}{leaflet}
\end{columns}
\end{frame}
\subsection{Microservice Composition}
\subsection{Service Composition}
\begin{frame}{Microservice Composition}
\framesubtitle{Dockerize everything!}
\begin{columns}
@ -368,51 +207,23 @@ Technologies: Collection, Time-series databases, Frontend
\end{columns}
\end{frame}
\subsection{Classes}
\begin{frame}{Analysis}
\twofigures{0.5}{code/analyzer}{Analyzer interface}{code:anif}{code/mask-spatials}{Sample analyzer}{code:mask}{Analyzer stub and implementation}{fig:pyan}
\end{frame}
\begin{frame}{Result}
\image{\textwidth}{code/result}{Result class}{code:result}
\end{frame}
\begin{frame}{Render}
\twofigures{0.5}{code/render}{Render interface}{code:reif}{code/render-board}{Sample render}{code:rebo}{Render stub and implementation}{fig:pyre}
\end{frame}
\subsection{Configuration}
\begin{frame}{Configuration \& result}
\twofigures{0.5}{oeb-kml}{Analyzer configuration}{img:oebkml}{oeb-ge}{Result visualized}{img:oebge}{Example: Generate KML tracks (BioDiv2Go; Oberelsbach2016)}{fig:oeb2016}
\end{frame}
\subsection{Results}
\begin{frame}{ActivityMapper}
\image{.7\textwidth}{track-fi}{Combined screen activity and spatial progress}{img:trackfi}
\end{frame}
\begin{frame}{Graphs}
\begin{columns}
\column{0.45\linewidth}
\image{\textwidth}{simu-retries}{Experimentational rounds}{img:retries}
\column{0.45\linewidth}
\image{\textwidth}{speed}{Speed distribution}{img:speed}
\end{columns}
\end{frame}
\begin{frame}{Graphs}
\image{.9\textwidth}{time-rel}{Time distribution}{img:time}
\end{frame}
\section{Evaluation}
\subsection{Setup}
\begin{frame}{Evaluation}
\begin{itemize}
\item Analyse other geogames
\item Describe effort
\item ?
\item Profit
\end{itemize}
%\begin{itemize}
% \item Analyse other geogames
% \item Describe effort
% \item ?
% \item Profit
%\end{itemize}
\image{\textwidth}{eval}{Evaluation setup}{img:eval}
\end{frame}
\begin{frame}{Evaluation}
@ -441,8 +252,35 @@ Equilibrium & $\approx40$ & GPX with missing end tag\\
\end{frame}
\subsection{Results}
\begin{frame}{Integration of Neocartographer}
Challenges
\begin{itemize}
\item Corrupted XML files
\item No game server with API for log retrieval
\end{itemize}
\begin{longtable}[H]{rl}
Geogame & Log files \\
\hline
missing attribute space & <desc><event message="leaveObject"geoid="9"/></desc>\\
unclosed tag & <desc><event </desc>\\
missing attribute name & <trkpt lat="48.3689110.897709">\\
invalid attribute values & <trkpt lat="UNKNOWN" lon="UNKNOWN">\\
\caption{Neocartographer GPX log error types}
\label{tab:xml}
\end{longtable}
Solutions
\begin{itemize}
\item Recovery parser \& custom cleanup (new dependency: lxml)
\item Additional log server (Nginx with JSON autoindex)
\end{itemize}
\end{frame}
\begin{frame}{Evaluation results}
\image{\textwidth}{eval-changes}{Code changes necessary for the integration of another game}{img:eval}
\end{frame}
\section{Demotime}