Learning & ARGs
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Learning & ARGs

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    Learning & ARGs Learning & ARGs Presentation Transcript

    • AR Gs rn in g& ew D avidso nL ea Dr
    • A Lit tle B it abo ut M e
    • }  Blur the L Gam ine b e/Fic s etwe }  Exp tion enA RG lore and the W Real ity orld
    • }  Tran spar }  Ethi ency dia cs, L , Ubi itera quity }  Eng cy agem e }  Pro ent ss M mise }  Pro s bl emsAcro
    • }  Fitti ng in }  Dist to Ou quity ribut r Liv es }  Easy ed A ll aro to Us un d }  Clou e Us , Ubi d Me }  Snac dia k able ency sparTran
    • }  Priv acy & }  IP & Free dom y CC }  Ope erac }  Rea d/ n Sou rce Writ s, Lit eEthic
    • }  Con n e ct }  Rea ion nt ding e }  Fans =Wr gem iting }  Post -S ecre tEnga
    • }  Own ersh ises }  Rea ip d-WProm }  Fan rite Ficti }  Ava on tars
    • }  Spo ilers }  FAQ lems s }  IP }  MesProb sy
    • }  Gam ? es ar }  Fun en’t Fun has a just F un }  Plea Half- Life s antly RGs Frus tratin gAre A
    • }  Not too S imple n & Fu esGam
    • }  Not too S }  Not impl e n to o Co & Fu mple es xGam
    • }  Cha lleng re }  Fun e&R ewar & d Failu Frus tratio n &Flow
    • }  Failu in g re }  Dou bt earn }  Cur io sity }  Arti s&L culat }  Eco ions lo giesARG
    • }  Fail Faste }  Exp r e r im }  Rap ent, E re id Pr xplo reFailu }  Itera ototy ping te towa }  Try rd So lutio Agai Fail B n. Fa il Ag ns etter ain. .
    • }  Que stion }  Cha A n sw ers lleng t }  WorDoub e As k sump to Un tions }  To b ders tand e Un t o be ce r Unco tain is but t o be mfortabl to be Cert e Ridic ain is , ulou s.
    • }  Ask Que }  Life stion s&E long ngag }  Pro Lear n in g e blem & Ho osity }  Stor Solv ing & w Stu ff Wo y Telli Chea rks }  The n g&M ting? cure odel T her fo MakCuri e is n r bored ing o cure om for c is curios urios ity. ity.
    • }  Syst emic }  Con ns nect }  Asso ions o ciati ulati }  Rela ons tions }  Tran hipsArtic sfere }  Inte nce rd iscip linar y
    • }  Lear n in g }  Ove rlapp s }  Evo ing ogie lving }  Inte rrela }  Con tingEcol n ectin g
    • }  Cre ation }  Dist ribut }  Ass ion es smen Gs }  Any t one w & AR a dis educ h tincti o tries to on b ation etwe make does and en n e abou ’t know t ntertainm t eith he fir er. st thi ent n in g ngLear
    • }  Coll abor n }  Mul ative tio ti-MeCrea }  Use dia r Ge }  Rem nerated ix }  IP }  Des ig n
    • }  Mor e Ch }  Agg anne ls on rega }  Coll tion ibuti }  On D ation & Cu ema ratio n }  Digi ndDistr tal }  Tag ging }  Sear & Ra ting hc
    • }  Com mun }  Rea ity nt l-Tim }  Data e ssme Visu }  Con aliza tion struc }  Syst tiveAsse emic }  Qua litati }  Lite ve ra cy
    • }  Inte rest }  Proc Curves n edur }  Inte al esig }  Goa racti vity ls & Gl eD ueGam
    • Inter est C urve s
    • Proc edur al
    • Inter activ ity
    • }  Thr eads }  Con Acro ue ss & nect Betw }  Thr ions een Med & Gl }  Dee ough p line ia e r En gage me nt sGoal
    • Snac k able Gam eplay
    • Post- Secr e t Gam e De sign
    • Eagl eEye Fr e e Fal l
    • One Life to Live
    • }  Hom o Lud }  + ens }  Hom rrans o Na }  = rrans }  Lud ic Na c Na }  Play rrans ful St oriesLudi
    • }  Lea rning }  Into }  Abo Our Lives }  Post u t Our .. Lives -Sec }  TIN ret Go . }  Sna ckab AG }  Les le si s Mo ldly reTo Bo
    • }  Flow & Ex }  Cha plore lleng Gs }  Age e&R ewar ncy & d & AR }  Play Liter acy ing is L }  Play earn ing Hard Lear n Ha n in g rdLear
    • }  drdr ons? ew@ c mu.e sti duQue