Seite - 327 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

reasons for thesefigureswere linked to familyproblems inciting feelingsof anger, sad- ness, loneliness, depressionandbeingmisunderstood. In Narco emotions: affect and desensitization in social media during themexican drugwarwhere the study considered social networks as an ecosystem in the context of different crises focusingonpeoplesaffective responses.Thestudy indicatedadesensiti- zationtowards theviolenceexperiencedincommunities thathadarmedconflicts.During aperiodof2years, inwhichtheviolenceinthestudiedareaswasat itshighestpoint,The studyshowedadecline innegativeemotional expression, aswell as an increase inemo- tional arousal anddominance fromTwitter data, an aspect known tobe apsychological markerofdesensitization[2]. Toubiana,Madeline andZietsma, Charlene in, Themessage is on thewall? Emo- tions, socialmediaand thedynamicsof institutionalcomplexity [3]describesastudyon how emotions of leaders influence activities. Showing that when the expectations that peoplehave about anorganization aredistorted, a process of organizational destabiliza- tion is triggered.Anexampleof this is thestrongnegativeemotionsexpressedasaresult of the recentprivacyscandal surroundingFacebook. InNetworkpropertiesandsocialsharingofemotionsinsocialawarenessstreams[4] it is suggested that people are forced to share emotions shortly after experiencing them, andfindrelief in sharing themonplatformssuchasTwitter andFacebook, referred toas ”SocialAwarenessStreams”(SAS)thatallowpeopletoquicklysharethoughts,activities and informationwith their contacts.With large amountsof informationbeingcollected, SAS is an interesting source fromwhich the interaction of people can be observed and studied. The emotionsmost frequently expressed in the study of FundaKivran-Swaine andMorNaaman, were Joy and sadness.On average, 37%of a user’s updates did not contain any expression of emotion. The study shows that userswhopost content about themselvesandtheirexperienceshavesignificantlyfewerfollowers thanthosewhoshare information. In theworkofPekrun, InEmotionsatSchool[5] isshownthatexcessiveanxietycan impede students’ performancepushing them to leave school, andnegatively influencing their physical andpsychological health. In contrast it suggestswhenone is in a state of happiness,onemaybemorewilling tosolveaproblemcreatively.Astudent inapositive statemaybeunderstanding inabetterway the instructionsofaclass, thanonewho is in anegativemodewithhavingdifficulties focusingon the task. In theworkAdiffuse computationalmodel of emotion for the analysis of feelings basedon thecloud[6]. a techniqueofgeneticallyoptimizedadaptivediffuse logic, anda frameworkforpredictingandfollowing theaffective trajectoryover time.Ananalysisof theperformanceof the infrastructure in theprocessing, analysis andstorageofdatawas carriedout, illustrating its feasibility for large-scaledataprocessing tasks. JavierNavarro et al. in [7], has created a system for cognitive therapy to assess the deterioration of patientswith dementia in care settings. This system evaluates and cal- culatespatient scores indifferent cognitiveareas, automaticallygeneratingpersonalized stimulation plans that adapt to the changing level of patient deterioration. These plans are composed through theuseof fuzzy if-then rules that combinequantitative attributes andpatient interaction scores.Thework also considers extending these rules to include thepatients affective states. Therehavebeensomepreviousstudueswhich investigate the locationaldistribution of emotions over an area like the one carried in, On the identification of the emotions J.J.ManriquezSantosetal. /ACrowdsourcingBasedComputationalMethodology 327