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16-07-03 1 Human Computer Interaction and societal impact – Can HCI influence public policy making and IT politics? Keynote address at IADIS IHCI’16, July 2, 2016 Jan Gulliksen Professor in Human Computer Interaction, Dean of the school Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden Guest professor at Uppsala university, Sweden Chairman of the Digital commission of the Swedish Government, Ministry of Enterprise Digital champion of Sweden appointed by the European Commission Dean of School of Computer Science and communica:on

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  • 16-07-03

    1

    Human Computer Interaction and societal impact – Can HCI influence public policy making and IT politics?

    Keynote address at IADIS IHCI’16, July 2, 2016

    Jan Gulliksen •  Professor in Human Computer Interaction, •  Dean of the school Computer Science and Communication, KTH Royal Institute of

    Technology, Stockholm, Sweden •  Guest professor at Uppsala university, Sweden •  Chairman of the Digital commission of the Swedish Government, Ministry of

    Enterprise •  Digital champion of Sweden appointed by the European Commission

    DeanofSchoolofComputerScienceandcommunica:on

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    Vehicles,ships

    Administra2vework

    Researchinterests:HumanInterac:onwithWork-suppor:ngICT-systems

    Healthandcare

    !Process-andtrafficcontrol

    FirstreportfromthecommiHeeforDigi:za:onreleasedMay3,2013

    Thecommi

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    DigitalchampionofSweden

    ahigh-profile,dynamicandenerge:cindividualresponsibleforgeTngeveryoneintheircountryonlineandimprovingdigitalskills.“You’rethedigitalchampionofSweden–Yourtaskiseasy”NeelieKroes,vicepresidentEuropeancommission

    Scien:ficImpact

    •  GooglescholarprofilewithAlbertEinstein

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    Societalimpact

    •  Whatisthat?

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    Societalimpact

    •  Changetheworld•  Educate•  Influencepublicpolicy,standards,etc.•  Innovateandstartcompanies•  Improvedevelopmentmethodologies•  MakeitabeHerworldforoneindividual

    Predic:ngthefuture…

    “Thebestwaytopredictthefutureistoinventit.”SteveJobs

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    FotoKris:n

    aSahlén

    ”…theremightjustbeaworldmarketof5computers”(T.J.Watson,presidentIBM,1943)”…Icanassureyouthatdataprocessingisafadthatwon’tlasttheyear.”(Editor,Pren:ce-Hall,1957)”…inthedistantfuturecomputersmightweighlessthan1.5tons”(PopularMechanics,1957)“TheInternetisaflythatmightblowpast.Idonotthinkpeopleul7matelywillwanttospendasmuch7measitactuallytakes,forsurfingtheweb.”(InesUusman,MinisterofCommunica:onsinSweden,1996)"TheInternetisnewterritoryforallofus”(AngelaMerkel,PrimeMinisterofGermany,2013)

    Predic:ngthefuture…

    Tradi:onalofficeworkenvironments–20yearsofdevelopment

    –Doyouseethedevelopment?

    2014-04-05 14

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    Thefutureofficeenvironment

    MovementmaHers

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    Thedystopianvision:Minorityreport

    •  Research-basedsciencefic:on

    •  Ar:ficialintelligencerevisited

    Changingcondi:onsfortheuser

    •  Thevirtualoffice•  Ac:vity-based

    offices

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    Newtechnology–newbusinessmodels

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    •  Fromindustrialapplica:onstohomebasedenvironments.

    •  Helpingincare•  Helpingineduca:on

    Robo:csandAutonomoussystems

    HughHerr,MITMedialab

    •  Facilita:ngforuserswithspecialneeds•  Extendingthefunc:onalitybeyondhumanabili:es

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    HughHerr,MITMedialab

    •  Facilita:ngforuserswithspecialneeds•  Extendingthefunc:onalitybeyondhumanabili:es

    Google’sautonomouscar

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    Brain-computerinterac:onandNeuroinforma:cs

    •  Fromambientintelligencetoubiquitouscompu:ng

    •  Connec:ngcomputersdirectlytoyournervoussystem

    Whatwillthefuturelabourmarketlooklike?

    Digitaliza:onAutoma:za:onRobo:za:onGlobaliza:onUrbaniza:onIndividualiza:on

    Fölster,S.(2014).Vartannatjobbautoma7serasinom20år–utmaningarförSverige.

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    Highest probability Lowest probability

    Occupation Probability for

    digitalization Occupation Probability for

    digitalization

    Models, etc. 98% Pschologists, social workers, etc. 3%

    Accounting assistants 97% Specialists within biology, agriculture and forestry, etc. 3%

    Machine operators, timber industry 97% Pastors 2,5%

    Library assistants, etc. 96% CEO, Managing directors and chief executives, etc. 1,5%

    Cashiers, etc. 95% Senior officials of special interest organizations 1,5%

    Assistants within farming, gardening, forestry and fishing 95%

    Legislators, senior officials and politicians 1,2%

    Other machine operators and fitters 94% Special teachers 1,1%

    Dealers, retailers, demonstrators etc. 94% Other teachers with special theoretical competence 0,9%

    Other office workers 94% Priests 0,8%

    Stalls and market salespersons 94% Agronoms, forest rangers etc. 0,8%

    Adaptedfrom“Thefutureofemployment:howsuscep7blearejobstocomputerisa7on?”byCarlBenediktFreyandMichaelA.Osborne,September17,2013

    Howlikelyisitthatajobistakenoverbyacomputerwithinthenext20years?

    Highest probability Lowest probability

    Occupation Probability for

    digitalization Occupation Probability for

    digitalization

    Models, etc. 98% Pschologists, social workers, etc. 3%

    Accounting assistants 97% Specialists within biology, agriculture and forestry, etc. 3%

    Machine operators, timber industry 97% Pastors 2,5%

    Library assistants, etc. 96% CEO, Managing directors and chief executives, etc. 1,5%

    Cashiers, etc. 95% Senior officials of special interest organizations 1,5%

    Assistants within farming, gardening, forestry and fishing 95%

    Legislators, senior officials and politicians 1,2%

    Other machine operators and fitters 94% Special teachers 1,1%

    Dealers, retailers, demonstrators etc. 94% Other teachers with special theoretical competence 0,9%

    Other office workers 94% Priests 0,8%

    Stalls and market salespersons 94% Agronoms, forest rangers etc. 0,8%

    Adaptedfrom“Thefutureofemployment:howsuscep7blearejobstocomputerisa7on?”byCarlBenediktFreyandMichaelA.Osborne,September17,2013

    Howlikelyisitthatajobistakenoverbyacomputerwithinthenext20years?

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    Highest probability Lowest probability

    Occupation Probability for

    digitalization Occupation Probability for

    digitalization

    Models, etc. 98% Pschologists, social workers, etc. 3%

    Accounting assistants 97% Specialists within biology, agriculture and forestry, etc. 3%

    Machine operators, timber industry 97% Pastors 2,5%

    Library assistants, etc. 96% CEO, Managing directors and chief executives, etc. 1,5%

    Cashiers, etc. 95% Senior officials of special interest organizations 1,5%

    Assistants within farming, gardening, forestry and fishing 95%

    Legislators, senior officials and politicians 1,2%

    Other machine operators and fitters 94% Special teachers 1,1%

    Dealers, retailers, demonstrators etc. 94% Other teachers with special theoretical competence 0,9%

    Other office workers 94% Priests 0,8%

    Stalls and market salespersons 94% Agronoms, forest rangers etc. 0,8%

    Adaptedfrom“Thefutureofemployment:howsuscep7blearejobstocomputerisa7on?”byCarlBenediktFreyandMichaelA.Osborne,September17,2013

    Howlikelyisitthatajobistakenoverbyacomputerwithinthenext20years?

    “Thefutureofemployment:howsuscep7blearejobstocomputerisa7on?”byCarlBenediktFreyandMichaelA.Osborne,September17,2013

    NearlyhalfofUSjobscouldbeatriskofcomputeriza2on

    Crea:veandsocialintelligenceskillsarerequired

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    Source: LinkedInSource: LinkedIn

    Source: LinkedIn

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    TheDigitalEconomyandSocietyIndexrankscountriesbasedon5parameters;Connec7vity,HumanCapital,InternetUsage,Integra7onofDigitalTechnologyandDigitalPublicServices.(RetrievedfromtheDigitalAgendaScoreboard2016-01-04)

    TheDigitalEconomyandSocietyIndex

    ShareoftheSwedishpopula:onover18yearsthathaveaccesstoacomputer,internetandbroadband

    Källa:Svenskarnaochinternet2015

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    Källa:Svenskarnaochinternet2013

    Vilkaärdetsominteanvänderinternet?

    Andelenavdesominteanvänderinternetiolikaåldersgrupper

    Källa:Svenskarnaochinternet2015

    Källa:Svenskarnaochinternet2013

    Whoaretheonesnotusingtheinternet?

    Shareofthosenotusingtheinternetdividedintoagecategories

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    Källa:Svenskarnaochinternet2013

    Källa:Svenskarnaochinternet2015

    Whyaren’ttheyusingtheinternet?

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    •  x

    Källa:Svenskarnaochinternet2015

    Förskojsskull…

    •  50%avallatvååringaranvänderinternet

    •  Fram:denskonsumenter

    •  Poten:alförinnova:onoch:llväxt gretchichi

    källa:Svenskarnaochinternet2013

    Källa:Svenskarnaochinternet2015

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    Justforfun…

    •  67%ofall2yearoldsareusinginternet

    •  Theconsumersofthefuture

    •  Poten:alforinnova:onandgrowth gretchichi

    källa:Svenskarnaochinternet2013

    Childrenandyoungadolecent’suseofsocialnetworks

    Source:Svenskarnaochinternet2013

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    1.IncreasingtheamountofICTprac::onersinEU

    •  Currently4-6millionpeopleemployedasICTprofessionals

    •  Demandgrowing3%ayear•  Supplynotkeepingpace•  Issues:youngarenotchosingICTstudies,notenoughgraduates,lowfemalepar:cipa:on,skillsmismatches–educa:onandtrainingnotfulfillingindustrydemand

    •  Shortagesforecasttocon2nue: 900000–1millionvacanciesby2015

    TheICTworldisnotenough

    Companiescan'tfindICTspecialistsYoungpeoplecan'tfindjobs

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    2.ImprovingDigitalskillsamongICTusers

    •  18.5%oftheworkforceisICTintensive•  90%requiresomedegreeofskills•  Demanddependsoneachprofession•  ICTskillsotentransferableacrossjobs•  But,only53%oftheworkforceconfidentinICTskillsiftheyweretolookfor/changejobsinthenext12months

    •  Anduserskillsaretoalargeexentmissing/notadequate...

    Thanks

    [email protected]@jangulliksenjangulliksen.com