Page - 329 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

improvingefficiency,competitivenessandprovidingnewways inwhich theproblemsof poverty, socialdeprivation, and thepoorenvironmentcouldbeaddressed. 2.2. FuzzyLogic Developed byLotfiA.Zadeh ([11]) fuzzy logic is an approximate reasoning technique for processing uncertain data by using linguistic quantifiers (fuzzy sets) and human in- terpretable rules tomodelandreasonabout the relationshipswithin thedata.This idea is basedon the reasoningusedbyhumans,whereaprecisenumerical inputof information isnot requiredorgarenteed. ([12]). 2.3. RULER Within thismodel,different toolsareusedtodeveloptheemotionalmodels.Oneof these is knownas the ”EmotionalMeter ”,This tool is composedof agridof fourquadrants, whereEachdimension isbasedon theRussellmodelofemotion.The tool isbuilton the premise that emotionspeopleexpresscanbe representedaspointson twodimensional a planeofenergyandpleasantnessusingnumbersor a set ofdescriptiveemotionalwords that specifyeachquadrant[13]. 2.4. SocialNetworks SocialnetworkssuchasTwitterandFacebookareplatformsinwhichusersexpressopin- ions and personal data. User concented information can be used for specific purposes to improve our understanding on a large scale of the emotional change of users under different scenarios, such as detecting an emotional crisis in a user, customer-provider relationshipsand improving theuser experience.[14]. 2.5. GlobalPositioningSystem Initiallydevelopedasamilitary systemto fulfillU.S.militaryneeds.GPSprovidescon- tinious positioning and timing information, anywhere in theworld [15]. Geolocational information isnowintegratedasstandardfeatureswithinmostsmartphonesandavaliabe on a opt-in basis for a huge variaty ofmobile applications, from navigation and route planning to fitness trackers. The additional capability of associating georeferencing to personal and socialmedia enable us to contextualise the users interactionswith respect to their activities, surroundingsand real-timeevents. 3. ProposedMethodology This paper, builds on our previouswork in [16] describing an architecture toMonitor andHandle Emotions inWork Scenarios. Both the previous and current systems uses IBMWatson ToneAnalyzer service that uses linguistic analysis to detect emotions in Twitter posts (Tweets). [17].This tool allowsus to translategeo-referenceduserTweets intoour system,andobtaina setof5values, representinganemotional interpretationof user tweets.The table1 showsanexampleof the responseof aTweet as an input to the ToneAnalyzer. J.J.ManriquezSantosetal. /ACrowdsourcingBasedComputationalMethodology 329