HCI: sessie 5 KU Leuven, B, 24 March 2014 !

Erik Duval http://erikduval.wordpress.com @ErikDuval

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http://www.slideshare.net/erik.duval

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http://tinyurl.com/chikul14

hci story of the week?

http://www.wired.com/gadgetlab/2014/03/android-wearables/

http://www.wired.com/business/2014/03/like-design-billion-people-watching/

http://www.nngroup.com/reports/user-experience-careers/

http://www.nngroup.com/reports/user-experience-careers/

http://www.nngroup.com/reports/user-experience-careers/

https://w

ww.linkedin.com/today/post/article/20140320012035-12181762-gestural-control-the-good-the-bad-and-the-ugly

work of past week…

http://ariadne.cs.kuleuven.be/wiki/index.php/Chi_2014

http://dsminterfaces.wordpress.com

/2014/03/21/latest-revision-of-the-interface/

en nu?

digitaal prototype

ontwikkelomgeving? !

‘anything goes’

http://balsam

iq.com

http://facebook.github.io/origam

i/

http://www.appgyver.com

/steroids

http://foundation.zurb.com

http://www.toptal.com

/android/developing-mobile-web-apps-when-why-and-how

http://developer.android.com

/index.html

http://hacklang.org

analysis paralysis

en nu? testen ‘in the wild’...

gebruikers zijn middel om te evalueren, niet doel

hoe aan gebruikers geraken?

virality

• Distribution: how many people, on average, will an “infected” host make contact with while the host is still “infectious”?

• Infection: how likely is a person, on average, to also become “infected” after contact with a viral host?

• k factor: distribution * infection

• =1: stable

• >1: exponential growth

• <1: exponential decay

virality

• Increase the percentage of active hostswho actively make contact with uninfected people

• Increase the contact rate for each active host(average number of contacts per time period)

• Increase the duration of each active host’sinfectious time period

• Increase the likelihood that contacts turn into infections (i.e., infection conversion) !http://framethink.wordpress.com/2008/01/15/the-four-viral-app-objectives-aka-social-network-application-virality-101/

recruitment

•twitter, facebook, valven, ...

•WIIFM

•movie ticket, itunes credit, ...

•mijn team

• ‘use me’

•but no miracles

pers

uasi

on &

rec

ruitm

ent

B.J. Fogg and Dean Eckles, T

he Behavior Chain for O

nline Participation: H

ow Successful W

eb Services Structure Persuasion

reporting

questionnaires...

analytics...

planning

•24 maart: digitaal prototype

•31 maart: idem ten laatste: release!

•28 april

•5 mei

•12 mei

•19 mei: demofest

bloggen…?

iteraties over evaluate

testen...

• doel: wat wil je te weten komen?

• methode: hoe ga je dat te weten komen?

• rationale: welke andere manieren heb je overwogen en waarom niet weerhouden?

• wie, wat, waar: n, demographics, logistics, ...

• resultaten: wat heb je gemeten, geobserveerd? (zonder interpretatie)

• besluit: wat ben je te weten gekomen? (link naar resultaten)

itereren...

• doel: belangrijkste proble(e)m(en) dat/die je wil aanpakken

• alternatieven: hoe kan je problemen aanpakken

• keuze: en rationale

• herneem die problemen bij volgende iteratie!

still using feedly? !

(also for non course blogs?)

tegen volgende week

blog resultaat van vandaag blog hci story of the week blog +/-/? van sessie deze week blog planning

@ErikDuval http://erikduval.wordpress.com

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