Outline. 1 L2: Information Architecture. Tristan Ferne (http://www.flickr.com/photos/tristanf/ /) Scent

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1 Tristan Ferne (http://www.flickr.com/photos/tristanf/ /) Scent Scent Slam Szapucki (http://www.flickr.com/photos/chelsea_nj/ /) James Wragg (http://www.flickr.com/photos/jameswragg/ /)

2 Wikiforaging Motivation (Jakob Nielsen) Deceivingly Strong Information Scent Costs Sales Users will often overlook the actual location of information or products if another website area seems like the perfect place to look. Cross-references and clear labels alleviate this problem. (Art. 32 LPI) by Multiple authors (Art. 32 LPI) Deceivingly Strong Information Scent Costs Sales by Jakob Nielsen Test Test In which cases you don t need to fill a tax return? In which cases you don t need to fill a tax return? Which clues did our subject use? A few ideas related to scent A few ideas related to scent Trigger words Trigger words Bad scent: Back button, pogo-sticking, using search. Bad scent: Back button, pogo-sticking, using search. Longer Is Better ( Contact vs. Contact information ) Longer Is Better ( Contact vs. Contact information ) Mesure user Confidence Mesure user Confidence (Art. 32 LPI) Designing for the Scent of Information by Jared M. Spool, Christine Perfetti, David Brittan Chris Heald (http://www.flickr.com/photos/husker_alum/ /)

3 A few ideas related to scent A few ideas related to scent Trigger words Bad scent: Back button, pogo-sticking, using search. Longer Is Better ( Contact vs. Contact information ) Mesure user Confidence Things that Block Scent: Iceberg Syndrome Camouflaged Links Banner Blindness Links That Lie Missing Words Cute Link Names ( my infos vs. contact information ) Misplaced Links (to see a red dog click here) Ewen Roberts (http://www.flickr.com/photos/donabelandewen/ /) (Art. 32 LPI) Designing for the Scent of Information by Jared M. Spool, Christine Perfetti, David Brittan How users read the web How users read the web Jakob Nielsen (Control condition) (Art. 32 LPI) by Jakob Nielsen (Art. 32 LPI) by Jakob Nielsen How users read the web Measuring Scent (Art. 32 LPI) by Jakob Nielsen (Art. 32 LPI) Tobii by X1 Light Eye Tracker

4 Measuring Scent Skeuomorphism Skeuomorph: An ornament or design representing a utensil or implement (Merriam Webster) (Art. 32 LPI) Chinese Eye Tracking Study: Baidu Vs Google by Gord Hotchkiss Skeuomorphism Skeuomorphism (Art. 32 LPI) Synthesizer 76 ipad App by Jonas Eriksson (Art. 32 LPI) Synthesizer 76 ipad App by Jonas Eriksson Login pattern

5 Login pattern Login pattern Login pattern Where to find good patterns 1 Cookbooks (e.g., Jennifer Tidwell s Designing Interfaces, welie.com) 2 Look around 3 Create from scratch Motivation Forms! Customer interaction: Checkout, register, complain... Productivity Web Form Design by Luke Wroblewski.

6 Before you start Escort Users Gradual engagement Progress indicators Success notification Form Name What they will accomplish What will they need Time they will spend Design for errors Prevent errors: Mandatory fields: * vs (optional) vs none. Inline validation (existing user name, how secure is a password). Solve errors: No refills! Passwords!? Captchas!? Highlight fields with errors and provide descriptive messages. Example Ways user seek information (Compatible with Scent TM ) Known-item search Exploratory seeking Don t know what I need to know Re-finding Information Architecture by Christina Wodtke, Austin Govella. Global navigation bar Tree-like organization Pagination Filters

7 Safety Nets / More on this topic... Safety Nets / More on this topic... Safety Nets / More on this topic... Safety Nets / More on this topic... Controlled Vocabulary?

8 Multiple ways to name things? Pick one and stick with it. Barcenas Deriva soberanista Class warfare (linked to socialism). (Art. 32 LPI) Cospedal: el finiquito del extesorero del PP era simulación de salario by Francesco Manetto Small site Proofreading Large site Authority files* *(not much traction) Globalization Globalization i19n i19n L10n

9 Globalization Globalization (i19n) Localization (L10n) Messages en.properties 1 person.lastname=last name 1 printf("my name is %s.\n", my_name); 2 printf(gettext("my name is %s.\n"), my_name); 3 printf(_("my name is %s.\n"), my_name); Character Sets and Encodings UTF-8. Messages es ES.properties 1 person.lastname=appellidos Code 1 ResourceBundle messages 2 = ResourceBundle.getBundle("Messages", currentlocale); 3 messages.getstring("person.lastname"); Globalization faces-config.xml 1 <faces-config [...]><application> 2 <resource-bundle> 3 <base-name>pkg.name</base-name> 4 <var>msg</var> 5 </resource-bundle> 6 </application></faces-config> Facelet 1 <!-- <f:loadbundle basename="pkg.name" var="msg"/> --> 2 <h:outputtext value="#{msg[ person.lastname ]}" /> Formal/Automated feedback User feedback w3c validator w3c link checker Hola, Les escribi un mensaje para decirles que no podia mandar comentarios y me gustaria saber como puedo solucionarlo. He usado Firefox y tampoco me deja. Gracias. Nagios como puedo saber la direccion de la persona que te ha mandao un comentariio??

10 User feedback Traffic Analysis Webalizer Contact forms (multistage) Contact address (spam) Survey popups Forum monitoring (don t get sucked into it; treat well moderators) Priority lane Pages/Files/Hits/Visits/Unique visitors (sites) Where does this comes from? Which values are reasonable? Price? Traffic Analysis Traffic Analysis Google analytics 1 <script type="text/javascript"> 2 var _gaq = _gaq []; 3 _gaq.push([ _setaccount, UA-XXXXX-Y ]); 4 _gaq.push([ _trackpageview ]); 5 (function() { 6 var ga = document.createelement( script ); ga.type = text/javascript ; ga.async = true; 7 ga.src = ( https: == document.location.protocol? https://ssl : ) 8 +.google-analytics.com/ga.js ; 9 var s = document.getelementsbytagname( script )[0]; s.parentnode.insertbefore(ga, s); 10 })(); 11 </script> (Art.32LPI)HowtosetupthewebtrackingcodebyGoogle Tracking Tracking (Art. 32 LPI) Diez datos sobre el Mobile World Congress de Barcelona by Juan Manuel García Campos (Art. 32 LPI) Diez datos sobre el Mobile World Congress de Barcelona by Juan Manuel García Campos

11 Tracking (Art. 32 LPI) Diez datos sobre el Mobile World Congress de Barcelona by Juan Manuel García Campos Pagerank Example Spider Robot Show calculator Deprecated! 345Kai (http://en.wikipedia.org/wiki/file:pageranks-example.svg)

12 Example Example Example Example source=crosslink externo&utm medium=homeya&utm campaign= crosslink externo&utm term=autocity seguros enlaceservicios&utm content=autocity seguros source=crosslink externo&utm medium=homeya&utm campaign= crosslink externo&utm term=autocity seguros enlaceservicios&utm content=autocity seguros Example Black-hat Strategies source=crosslink externo&utm medium=homeya&utm campaign= crosslink externo&utm term=autocity seguros enlaceservicios&utm content=autocity seguros Keyword stuffing Cloaking (different responses for spiders) Link schemes Deliberate creation of duplicate content Urchin Tracking Module (Google Analytics) Search enginge boombing Community management (e.g., moreon L3)

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