Page - 334 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

library and cafeteria located in cell C2 shows the highest frequency of anger. A tie in recorded emotionswas detected inC3,while in quadrantC5where the auditoriumand footballfieldare located, sadnesswas seen tobe thepredominant emotion.Conclusions can be drawn from these results if take in context with other recorded parameters that will ve investigated further. Figure6. Emotional frequencies atTechnological Institute ofLeo´n.Rowswith zeroshavebeenomitted(A), andEmotionalmapof theTechnological InstituteofLeo´nduring theexperiment(B). 6. Conclusionsandfuturework This paper presents a real time emotional maps based on geolocated recorded Tweets that were analyzedwith IBMToneAnalyzer to indicate ameasure ofwell-being. The mapswereable to showthemost frequent emotiondetected indiffernt zonesof thearea fromwhichdatawas recorded.Experimentswereconductedwhereamobileapplication was used to crowdsource emotional states and contextual parameters from students re- siding inaMexicancityandattendingauniversitycampus. Initial resultswerepresented showningthepotentialof thismethodologyforshowingspatialandtemporaldistribution ofemotions inurban locations This paper aimed to explore the usefulness of system to further capture emotional changes in key areas of the city that is currently under development.As anext step,we want tounderstandhow thedaily activities carriedout byauser affect andmodifyboth their emotional stateand thatof thepeoplearound them.Wealsoaimto investigatehow tomonitor the trajectoriesof emotional changesover time.Additionallywewill use the 4quadrant systemproposedbyRULER[13]as ithasproven tohaveadvantages in terms ofpossibleapplications forquantifyingandmappinguser emotions. Acknowledgment We would like to acknowledge the support from CONACyT and TecNM/ITL to the project6499.18-P for the supportprovided to this research. J.J.ManriquezSantosetal. /ACrowdsourcingBasedComputationalMethodology334