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by: Maryse Herman


Maryse Herman
GPA 3.68


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This 32 page Class Notes was uploaded by Maryse Herman on Monday September 7, 2015. The Class Notes belongs to INF 385T at University of Texas at Austin taught by Staff in Fall. Since its upload, it has received 18 views. For similar materials see /class/181911/inf-385t-university-of-texas-at-austin in Information Studies at University of Texas at Austin.




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Date Created: 09/07/15
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rum Extlngless ledtllzxtlsgm lm nu v nrk v ourhumgw lll take mm time than you thuugllt nwuulu mes Romm is an ugly tollt u new man mmmmm varlmlllctuclnmls gum mmulsummm new mum mu mung nu lnemmmna lu M u r mun men mm c39lzmlml 1quot mm mnnn nan Wham lemme m m mnlnnm u me l x l w g n 39lrerrn mlquot n nu l mu u l p m m lulu Heuristic Evaluation What ls a Heuristic Heuristic Evaluation What ls a Heurlstic7 Hrullstlcs are ellneu bu aPelsan al a group at pegplr H g away to backup yaur ueslgn reocnlmell atlnns to marketlrlq management amp enulneennu Heullstlcs are not namnasl rules always ngln 12262008 Heuristic Evaluation Background Heuristic Evaluation The Heuristics oped by Jakob hireisen in ioez Devei insioiiity oi system status intended to be a discount usatriiioy method Match irettueen systerrr and the real world Quick tlser oontroi and lreedorn eap Consistency and standards Effective Ell or prevent n Recognition ratherthan lecall Flexibility and eliioienoy ol use Aesthetic and 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silattid tre explicitly listed hm inmmi imhiiimaio Cognitive Walkihrough How To Do It 2 walk through the tasks preparing a crediole story tor each indiVidual step Ask trrelollounng questions tor each siep whiie looking at the interface create a cradilrls story based around these questions i Wiii Iiie ttserlryia achieve the ilgiii Wet1397 Wiii ihB user nulice Ihal the curred aE ICii39i is avaiiabie7 Wiii int user aaiociale ihE curreni aciiuri wilii ihe Ei ieci ihal user istrying to achieve ii the correct action is perinimedi wiii the user see that progress is treing tirade towards their quai39i Record any additional assumptions you make along the way as miirhiiaieomii 4e Cognitive Waikihrough How TO DO It 2a Walklhrough the tasks preparing acrediole story lor each individual step Will the user try to achieve the right ettectv Tile user of liie sysiem has all en g al in mind Didi riseds ID accomplish y ri us tasks to complete it Wiil they even know to iieitoim the specitic steps alcn the 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Processor An Overview lender 1 annmxrmale human serrarrrarrrr no human DDDulalrun rlnnnrrng In individuals and locusan orr a law ser oi nroPlel arm you more meurrerree ror nesrorr owes you a very rarrorrar sorerrrrrro mearsro eererre dESlGn ideas Mx z up or 5 Jul lst mrr omen nyseremrrre experrrrrerrr Model Human Processor Basics wrrerr rcranr you knock on me lable Model Human Processor Basics clap Pause mm There are rrrree rnlerammu sunsysrems Peroemuzr irrearcravl z Cnnni vn rorucess ciao a Mom lknackl Em eunsyerem me a processor amp assacrxle memnrree Model Human Processor Basics mm W or numbers rrreroarrrrg resvorrse rrme We use rrrree rrmes ro encompass individual orrrererrces reermerr milllllzmxrr amp slurmmquot wrmen like me mrriolomarr laslmnn e xlowmin ror rxamvlr To we so 7 ran Model Human Processor Bubblehead Perceoruar Processor Moror rocessor ungmrrre processor or eacrr cDamlwe Dronessur Wale me cunlenls or rromrrrg mrmary rmlralr omrorrs linkrd lo mom rrr long arm memory 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5 4 155 ll nunuuuuuuuuu llllllll u u a m Users osllaslar l helrlasks our prams me Power law at Frames The ma Tn lo prllorm ul39xskon the nth lrlal lcllows a Powerlaw UH rr39 wherea o26 wrm does uus lell us about our zssunlmlolls m elealulu mu versouasa soeuarlns l 15 12262008 Model Human Processor Uncertainty l7 outtan pnonn so pinion Dnonc Model Human Processor Uncertainty Decision tune I Increases wrtn uncertainty ahout tne inngrnent or decision to be made V Hi wlieie H is tne lnlollllaliorlr tneoretic entropy oi the decision and so in l57 rnseol oil For l39l equally probable altematlves icalled chk s Lawi n lDQZill 1l For n alternatives Wiln dillerentprooeoinlies p at occurrence n S p lngzllpye l Tnis applied to uncertainty in tne environment not uncenalnly in memory gel not lor ioonsl Model Human Processor Rationality a erson act so as to attain iris goals tnrongn rallonal action given the structuie ottne task and nis inputs oi intormetion and pounded by limitations on nis knowledge and processing ability Goals Tasks Operators inputs Knowledge Behavior coal To increase company prorits Task Boo a no operators Mouse movements Clicklll i typing Inputs Acorn obox an on Knowledge A combo box is a tray to make a selection an OK outlon applies tne new selection Model Human Processor 1 Summary you Will probably not use lne NlHP egnalrons urnile you design you Will delinitelyuse tlre MHP principles wnileyou design vbn now have a scientilic way to prove design decisions to engineers marketing elc GO MS GOMS An Overview Goals Operators Mellluds o rSelectlorl Rules GOMS attempts to predict liliman penoi39mance on tasks invalvnig routine cognilivo skill assemoiy workers telephone operators uses an lormulas and principles to determine an approximate total task lime once you nave created a nil GOMS model cl a ask you can veiy easily determine now design decisions will impact time on task irreosr ltrrrlllmlmm ddllsl 16 1 2262008 GOMS What It Will Tell Us opemm sequence 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Press mrlv DDemlals are llleepelluelll el lllslallml naelqluullu lrleluallle leelrlllle llrlle av exeeullall llln GOMS An Example Methods A meme ls esreumee el DNralDlslllalaccumllllsll a nal llauraaal lsleuelele apllrase nulmelhudmaybeluusellle mamneelnnlnmenu rlele melllad Muue mause lame negllllllllu allhe pmase Clch lllellse bllllall Move mouse mule end nlllle pmase Slll rcllck meuse bu nll Prrssllle delrle kry GOMS An Example Selection Rules A palmAlan ml ls lllr Knawlrdge al haw la choose Dllr melllad nvel amer Ta eelele a Dlllase We call use we negllllllng s ell uelele lnelllml lk be llnlng and ess eelele many llmes melhud mark end and Pless acksvace many llmrs malllad mere begllllllng e ellu sllu ulees clllrx lzull We llle mll meulou leased all llle task Slm ll n e mu selemrl lules 1 2262008 Overview Desmn Juxtavase n An and Smence Prucess Appvmm What is this How was ms made Why was this made What is 1his7 How was tms made Why waslhis made 12262008 inrszsr inmia in Adm smdia i i rs l rzaE39 llnlv39milm Ilcsn snide it an What are these How were these made Why were these made Art Science and Design V s V erene raise awareness urLause understand is identily m know ur people to make lire better in to a s people In nueslien m solve ineereneal prenierns s lve practical problem n r 39 n r n aesthetics logic between the logical and line ethlve Highly personal e uires a rigorous sense Dl R It control and the ability to suspend Combines problem solving with message iiirsssr lnllna in i er suirn iu Art Science and Design ls rnolen in liismry and deeply lsrmted in nislnryi anrl deeply ls muted lrllllsl ry and deeply in uenced by what Lame belDle influenced by what came before in uenced by what Lame berme master master master suhieel m criticism sumeel in CrIIIClSln sublecl m DrillClSnl can be taught Can be taught can he taught Can be learned Can be learned Can be learned innser nr we in resn min in Art Science and Design iiiliir i rirr r39l39ril ill 4 can be taught can lie taught can be taught Can he learned Can he learned Can he learned Have you been taught all of these Why or why not lNFu iXSrrl39mrnlanalibellunSiliilir ii So What Is Design Design islne liberal art gr lecnnDngiCal culture Richard Buchanan quotDesign is notiustwhat it looks like and leels like Design is how itwnrks abs Design is a plan lul arranging elements in such a way as Deslio acDDmpllsh a nerlieuiar Dllrste Charles Eames To uesign ile communicate clearly Milluri Glaser quotDesign can be an Design can be aesthetics Design is sn simpler that s why it is so Dumplicated Paul Rand lliF AS3rr mm inn ennr arm i2 1 2262008 So What is Design Design is a Process discover synthesize define create refine refiect Design is a Process Design is a Process discover synthesize define create refine refiect discover synthesize define create refine refiect Primary research To make meaning out of data To observe in context the topic being studied m gather data directiy from experts To dtiiize ahddmve iooio in order to matte meaning out of data Etnnnnropny anthropaiagy cantextttai inquiry to move irani datum inruiniatian Di perhaps ta knawiedge Secondary research To create new knowled e To iearn onout atopic tnraogii atiitri To read about it watch a videoonout it Syntiwsrs is a Ematrips prunes in piincii 50mph new is mated secondhand vataa or GWEN 52 receive bout it Design is a Process Design is a Process discover synthesize define create refine i efiect discover synthesize define create refine i efiect ming The Development of Form asquot arrays is paint an is is in midi when is tr and pap my mats in in a a mm A period of redefinition occurs wiiere ie desidner refmrnes the orobiern tins anitact is not neoessariiy onySioai out has some tonnai manifestation in hunt ot the NW knm39iie e that iias heei i Piodticrd Iterative Prototyping nit piactss of Desi n requires an iterative approach to makina an mm at is deveiopedi Litttthe specitics ottrie artitact art not known ttiitii attti the ortitozt is deveiohed 1 2262008 Design is a Process discover synthesize define ceaie refine refieci Design is a Process discover sy hesize define ceaie refine refieci Attention to Detail M Fi an aniiacf has been devriDPed mid i Fi i n ii il aiim39ied if fa evaive info a Dnsiiive state i nus is wines in s isisi n csnpisnan mi iisnanan mini Better the Human Experience As the eiiiii iiainf 0i desi ii is in Ueiiri the human experience i is snicsi in miss an in mm in nas been assigned and fa understand now such in miiidm midni be improved iiiiuugn funnzr dzieiunmznf An OverSimplified View of Historical Approaches to Design Process asuiiaus and Craii Hum VD niismiimnarangim e Desi n Thinking and innmiinn Bauhaus and Craft iQiQriQSS in Eennany andiiien i537 7 present in in Us iiiii Prinixiiiy ziimniiioned hyiiiaiiei Empiqu and Mies van der Ruiie a ssnuni rm exvanded fa describe a ilxiiimiixl way m iiiinking mm designed sunsins i EmDiiasisdn omit and afi id inniemnis aesthetic A 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campany 2123 m quotmm m was mm mm n m m hnr can is mm and m mmnet has 25 commas attached m m 1972 TI Calculators mm nranaa mm sea m mm mm m m m m2 nHars Add 5mm Dwme Mumpw 1 973 Xerox Am created 31 Xerox PARC 1974 39 Pagers Mama 5 Manny A E e We mm mm they had mrssaues up msumy By mm m quotwhoquot pagers m use 1975 r 1977 1975 m 3mg my mum smps me 3mm mm ok a RAM and a mum w 350 aa auumam pernem s cast a 2 n msrm s mmed by EM Gates amp Pam AHen ms 3951 n AW m7 Wale Cummlmls 5 unwed by Steve Wazmak amp mm m mm s mtmdncrd or W c mnmers 198071983 Mm 7 r mm 12262008 1980 1983 1981 1980 1983 proved to be the boom 01 the computer industry The Xerox Star is released in 1981 creating WIMP Wrndows Icons Menu Pointing Device r butfarled ecause of its large Size and high Microsoft goes public cetag 17000 n MSDOS IS released 7 pri law by 124an17 n7 Volume drive c I a label Unlnm Serial Numb 2 3n717u2 birectur uf CHin n211au gt 211au n23 uu4 144 u211au 1m 1 cenon13m EXE 274 271nau a any 117 79 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2003 Tamaumcm 15 atmy PM 1mm Eyhnsnace wha 111995 CD FWtecMatnuy 15 wanted and Mr Nrw Vark Twas hunches ms was yam 1mm ml 11 yw m websne mm Exutnm 15 measeu a survwe arm 91 a mum can awaurtamaumm m 1mm sumHy 1va may mumet mm mm 12mm my 111997 AOL buys Campusewe and Mmmsan buys wer 1n1BBE AWE Muses 1712 Mama eBay has whhc Ant men buys m Spwm m ganzrymtzwassengSa DDD Nrtsmnrand m Hmted smus Eavemmentsurs M15105 1 Tamaamcm a w 1n155 1112 mm tveaks am we the MtHenmum mm 171 znnu D05 attacks take um mmm wehsnes and wmzk 15 reteasem mtemet wnmames mnk Meaty 171211151 Mtcmsa vetzaszswm wsxP nmmmwmrmemg mm HPmemeswtth Campa 1 2262008 1997 802 11b 19981Furby Wave seum mr ever 51 an 39 cm wk 10001aner Hm the mm to em 11 mm you we saymg mde Span mu mn by m Lmksys Nemear 3mm 11mbns z ahz 1998 Was 1999 Book In h1g7 Venue m 1 m mmg m mm A1 V Q gm meweve amen on 911553 We has 501d mummy m1 Macs a may 4 m 5 mm am Mac was sum un wuz 1999 PhoneCardPhone 2000 Mulorma Tamboul we 0ve1 mnmnuosma Twu waywv 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