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DesigningAIInterfaces
RajSinghCEOTempoAI,Inc.
510-282-4229(M)[email protected]@mobileraj
Itisthescienceandengineeringofmakingintelligentmachines,especiallyintelligentcomputerprograms. Itisrelatedtothesimilartaskofusingcomputerstounderstandhumanintelligence,butAIdoesnothavetoconfineitselftomethodsthatarebiologicallyobservable.
Itpasses theTuringtest.
Thestudyanddevelopmentofintelligentagents.
Softwarethatlearnsandcompletestasksforyou.
WhatIsAI?
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Raj:WhatisAI?Nephew:Itsrobotsandshit
AndthenthereisHollywoodsdefinition:
4RecommendationEngines- ImplicitandExplicitLearning
AIHasBeenOmnipresent
5ButthepuristssayWatsonisdumb!
ManyhavesaidWatsonwasthefirstmainstreamdemonstrationofAI
Anticipatory:Predictyournextwantoraction
Smart:GivemeonlytheinformationIneed
Assistant:Completetasksforme
Ihaveasmartphonebutitsnotsmart!
ButWhatIsMobileAI
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DesigninganAI-AssistedUXIsNotEasy
Designing95%UIYoudontknowifyourrecommendations arerightorwrong
Whatifthesuggestionwaswrong?Certainappsarealotmoreforgiving
Howdoestheusertrainthesystem?Mostsurveythattheywilltrainbutfewactuallydo.
Howdoyougetthedata?AIsuffersfromfalsestarts.
Allthataside,anticipatoryUIdesignisthenextfrontier!
SomeExamples(RecommendationEngines)
Pandora FourSquare LinkedIn
Doesthisbotheryou?
AnotherExample(RecommendationEngine)
Itdoesbecausetheserecommendationshaverightandwronganswers.
Flipboard vs Zite
ExtensiveML
LittletoNoML
Suggestions indicatesintelligence Recommendations slightlylowerbarthansuggestions Searched/Results lessintelligent
RecommendationLanguageMatters
TempoSearchedMeetingLocations
Howdoyoudeterminethebalance? Usertestingdoesntalwayswork Constrainthedomain Segment theusersviacohortanalysis Whatistherightnumber ofsegments? TheMorebuttoncanbeyourbestfriend Infinitescroll Trainthesystem Tempousertestingindicatedlessthan3%wouldtrain
Thumbsup/down, ratingsvs implicitlearning?
BalanceofNoisevs Precision
PrismaticNewsTraining
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Siriisentertainingbutbeingunconstrainedkilledtheirengagement
Itwouldannoyyouless Youknowwhatyoucanaskanddo Yousettheexpectations
ExamplesAutomatedsupportsystemsTellMe /Free411SalesforceVoiceAccess
ConstrainingCanSetExpectations
Lexee AppVoiceCommandsforSalesforce
Animationsworkmosteffectively Butifittakestoolong, ithinders theUX Speedofapplicationdirectlycorrelatedtoretentionrate 15searchresultsvs 10searchresults(Google SearchResults)
InTempo,wenumberedtheresults Searchenginesusedtonumbertheirresultsaswell
IndicatingIntelligence
NumberedResultstoIndicateSmarts
Falsestartsareverycommon Introducerecommendations andanticipatoryactionsthrough use
Keepon-boardingaslight-weightaspossible Toomuchtimebetweenon-boardingandfirst-usewillcauseproblems
Canyoucollectdataasyougoalong First3-Dayusagewillbeheavyexperimentationtoseewhatthesystemdoes SiriusersexperimentbyaskingalotofQs
Tempouserscreate10sofmtgs inthefirstfewdays
AINeedsData
Sosh Setup
BeingAnticipatory
Anticipatewithoutthenoise Pushnotificationsdriverepeatusagebutifnoisyresultinbounced users
NotifyingyouwhentoleaveinTempo Wewantedtobeveryanticipatorybutwerenot95%yet
Falsenotifications resultinangstandalostuser
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ItsJustBeginning!
FourSquare GoogleNow Prisimatic
Bigdatatosuggestplacestoexplore
Searchhistorytobecomemoreanticipatory
Machinelearningtosuggestrelevantnews
Recommendationsworkbestwhentheusercanttellwhatsrightorwrong.
Bespecificwithyourlanguagebecauseithelpssetexpectations Bettertoundersellandover-deliver Userswillwanttotrainthesystembutfewwilldoit.Beconsciousthattrainingmaycreateanaversereaction
Cold-startsarecommon;needtohaveacompellingcaseandintegratetheuserdataover-time
Useclustering/segmentationtoimprovethecold-start(egchooseyourinterests)
Besensitiveaboutnotificationsandtrackengagementtomachinelearnonyournotifications
UnderstandthatwhatyoumaythinkofasAI,theuserthinksisdumb(andvice-versa);incorporateanimationsorothertoindicateAI
Summarizing
Whatdoessmartmeanineverycoreapp?
RajSinghCEOTempoAI,Inc.
510-282-4229(M)[email protected]@mobileraj
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