Seite - 333 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Figure 4. OnA, dominant emotions usingToneAnalyzer; onB, dominant emotions are shownacording to self evaluation. showjoy.Finally,D5,on theedgeof thecity, thepredominant emotion recorded is fear. These results indicate a broad range of emotions being both spatially and temportally distributed over the citywhich could be explainablewithmore indepth analysis of the correlations with individuals activities, local services, socio-economic, enviornmental, political andcultural factors and recent events. Somepeliminary analysis however does revealdifferences in thepredominantemotionswerefoundduring thedatacollectionpe- riods, associated to their location.Thismaybedue to thedisplacementofpeopleduring theirdailyactivities and to the taskscarriedout indifferentplaces. Figure5. Adominantemotionfrom0:00 to11:59hours;B,dominantemotionfrom12:00a.m. to23:59a.m. 5.2. Analysisof theemotional frequency in theuniversity campusof theTechnological InstituteofLeo´n Zoomingthegrid toencompassonlyITL,Figure6AandBshowsanemotionalanalysis during the same twoweeksof theexperiment.Here thepostgraduatebuilding is located in quadrants A2, A3, B2, B3 tend to indicate very positive emotions. In contract the J.J.ManriquezSantosetal. /ACrowdsourcingBasedComputationalMethodology 333