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EVERYDAY SIMPLICITY  ,[object Object],[object Object],[object Object],[object Object]
Structure  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Structure  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Research & Case Studies in Ubiquitous Computing  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(Example phone: Nokia 6131)
Case Study 1 – Mobile Prosumer  ,[object Object],[object Object],[object Object],[object Object]
Case Study – The Mobile Sales Assistant (MSA) ,[object Object],[object Object],[object Object],[object Object],“ Let me check....” “ Do you  have these jeans in size 28?”
Case Study – News on the go  ,[object Object],Project Location User Tag Handelsblatt Content Handelsblatt Info Tag NFC enabled mobile Phone HTTP request with tag UID Handelsblatt content API/RSS TOUCH
Case Study – bluespot MAP  Picture copyright © Wall AG 2008
Case Study - Currently running in Frankfurt Germany  ,[object Object],[object Object],[object Object],[object Object],Picture copyright © RMV 2008
Research Setup  Learnings from several smaller case studies Mapping of hypotheses on large case studies -> Evaluation according learnings - Pilot studies  Mobile Prosumer RMV Retail ÖPNV Integrated Ubicomp System Public Space  Case 1 Case 2 Case 3 Case 4 Case 5… easymeeting
Structure  ,[object Object],[object Object],[object Object],[object Object],[object Object]
What are everyday tasks and why are they important?  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(Sources: Maeda 2007, Norman 2005, Norman 1988) Imagesource: forum.stanford.edu/.../photos/ng_robotplate.jpg  Robot learns to grasp everyday chores
Example: Decision Trees as Starting Point (Ice cream) (Norman 1999) a1 a2 a3 a4 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 b Shallow decision tree Narrow decision tree First decision  Further choices  1 2 a exit exit exit exit exit
Structure  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Ubicomp - Design Set 1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Ubicomp – Design Set 2 ,[object Object],[object Object],[object Object],[object Object],www3.sympatico.ca/spacesbyrohan/context.html
Ubicomp – Design Set 3 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Combined to Ubicomp Design – Criteria Sets
Structure  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Paper Case Study -> „easymeeting“? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Prototype and location in meeting room (Organization 1)
The paper prototype
Example: Refill coffee Touch & receive Coffee
 
 
IT architecture overview Nokia 6131 NFC Discover tag Perform action according stored ID SMS2EMail  Gateway Convert incoming SMS to email  and forward to predefined adress  Microsoft  Exchange Server Receive e-Mail on Server and  process rule  E-Mail Client Webbrowser Receive e-Mail or SMS on local client and webbrowser (ticketing) Initiate real world process  User interaction Technical process User interaction Mobile phone
Evaluation  *(Venkatesh 2004) n=37 with n1=22 (O1) and n2=15 (O2) Sample number Random Sample type Two organizations with 25 employees (O1) up to 300 employees (O2) Universe Quantitative: Interval 5-item-scale (Mostly UTAUT* Items) Qualitative: Questionnaire survey  Measuring method  December 19 th  2006 to February 6 th  2007 Period Personal interview with questionnaire Method of data collection Quantitative/qualitative survey Research framework
Evaluation – Highlights (Quantitative) ,[object Object],[object Object],[object Object],[object Object]
Evaluation
Evaluation – Highlights (Quantitative)  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Structure  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Every great advance in science has issued from a new audacity of imagination .  John Dewey Contact Florian Resatsch [email_address]

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Everyday simplicity - The Implications of Everyday Tasks For Ubiquitous Computing Applications by Florian Resatsch

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  • 8. Case Study – bluespot MAP Picture copyright © Wall AG 2008
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  • 10. Research Setup Learnings from several smaller case studies Mapping of hypotheses on large case studies -> Evaluation according learnings - Pilot studies Mobile Prosumer RMV Retail ÖPNV Integrated Ubicomp System Public Space Case 1 Case 2 Case 3 Case 4 Case 5… easymeeting
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  • 13. Example: Decision Trees as Starting Point (Ice cream) (Norman 1999) a1 a2 a3 a4 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 b Shallow decision tree Narrow decision tree First decision Further choices 1 2 a exit exit exit exit exit
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  • 18. Combined to Ubicomp Design – Criteria Sets
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  • 21. Prototype and location in meeting room (Organization 1)
  • 23. Example: Refill coffee Touch & receive Coffee
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  • 26. IT architecture overview Nokia 6131 NFC Discover tag Perform action according stored ID SMS2EMail Gateway Convert incoming SMS to email and forward to predefined adress Microsoft Exchange Server Receive e-Mail on Server and process rule E-Mail Client Webbrowser Receive e-Mail or SMS on local client and webbrowser (ticketing) Initiate real world process User interaction Technical process User interaction Mobile phone
  • 27. Evaluation *(Venkatesh 2004) n=37 with n1=22 (O1) and n2=15 (O2) Sample number Random Sample type Two organizations with 25 employees (O1) up to 300 employees (O2) Universe Quantitative: Interval 5-item-scale (Mostly UTAUT* Items) Qualitative: Questionnaire survey Measuring method December 19 th 2006 to February 6 th 2007 Period Personal interview with questionnaire Method of data collection Quantitative/qualitative survey Research framework
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  • 33. Every great advance in science has issued from a new audacity of imagination . John Dewey Contact Florian Resatsch [email_address]