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Involvement of end-users - approaches and experiences  John Krogstie Wireless Trondheim Living Lab Professor in Information Systems, NTNU, Trondheim Norway
Research and ”Business” Wireless Trondheim Access WiFi open air network, with roaming (handover)  and location service. A shared physical infrastructure that can be used by multiple service providers (ISPs) Wireless Trondheim  Laboratories Service Lab Mobile and Locations Based Services Network  Lab Wireless Access and Network Techn. Intelligent Transport Systems
Differentuser-orientedtasks Providing user stories  Idea and conceptgeneration Evaluation  of solutions of different levels of fidelidity
Solution/actorfidelity
Mobile shopping assistance using personalization
Acceptance feedback withuseofexistinguser pools 200 persons were recruited to perform a TAM (technology acceptance) evaluation.  A randomly selection of persons, and the persons we selected were in the range of 20-40 years old, and had a 50/50 distribution of male and females. The selection were chosen from a Norstat panel and the experiment was run in Norstat’s survey solution.  Some other personal traits was asked about, including the affinity to ecological food, and to perceived importance of buying healthy food. Our personalisation ideas for the experiment were presented as two videos For each video the participants had to give their opinion using a likert-scale in a questionnaire that had 13 questions per video  When 200 persons had answered the questions, we got the results from Norstat, with no identifying information whatsoever, thus not having own issues with privacy (but neither the possibility to follow-up).
MSIS – Mobile Student Information System
Evaluation MSIS Recruited student (40-50) by directcontact + ’ads’ Using real system ondevicesdoingpredeterminedtasks Renumeration by ”lottery” (alternative used in other cases, recruitmentthrough student organizations, theyarepaid per respondent) From MSIS to Campus Guide
User-driven innovation of mobile services in Trondheim– example; FindMyFriends-FindPerAnton-FriendRadar Mobile social software application Autumn 2007 during bi-annual student festival Location tagging of students at the student society, 1661 registeredusers/tags Accenture, Sonitor (ultrasound positioning), IBM, NTNU (follow-upresearch) Spring 2008, similarideatested in Wireless Trondheim withdifferentoutdoorpositioningfacilities (e.g. wlanpositioning) Secondaryschool-class as users/testers
Smart City Trondheim Collaboration between Trondheim Municipality, Siemens and Bellona + 1/10 ofthehouseholds have signed up, and developed simple energy plans (for how to save onenergy usage) Involvementofschool-children and kindergardensthroughinvolvementofthemunicipality http://www.trondheimsmartcity.no/
Summary Solution/actor-fidelity Always a challenge to getinvolvementofthe right type ofusers Useexisting services for user-recruitmentifpossible (and economicallyfeasible) Alliances with partners withlegitimatecontact and goodwill amongusers Needs from researchoftenco-incidewithneeds from innovation (but must be thoughof up front) Privacyissues

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Involvement of end-users - approaches and exepriences John krogstie

  • 1. Involvement of end-users - approaches and experiences John Krogstie Wireless Trondheim Living Lab Professor in Information Systems, NTNU, Trondheim Norway
  • 2. Research and ”Business” Wireless Trondheim Access WiFi open air network, with roaming (handover) and location service. A shared physical infrastructure that can be used by multiple service providers (ISPs) Wireless Trondheim Laboratories Service Lab Mobile and Locations Based Services Network Lab Wireless Access and Network Techn. Intelligent Transport Systems
  • 3. Differentuser-orientedtasks Providing user stories Idea and conceptgeneration Evaluation of solutions of different levels of fidelidity
  • 5. Mobile shopping assistance using personalization
  • 6. Acceptance feedback withuseofexistinguser pools 200 persons were recruited to perform a TAM (technology acceptance) evaluation. A randomly selection of persons, and the persons we selected were in the range of 20-40 years old, and had a 50/50 distribution of male and females. The selection were chosen from a Norstat panel and the experiment was run in Norstat’s survey solution. Some other personal traits was asked about, including the affinity to ecological food, and to perceived importance of buying healthy food. Our personalisation ideas for the experiment were presented as two videos For each video the participants had to give their opinion using a likert-scale in a questionnaire that had 13 questions per video When 200 persons had answered the questions, we got the results from Norstat, with no identifying information whatsoever, thus not having own issues with privacy (but neither the possibility to follow-up).
  • 7. MSIS – Mobile Student Information System
  • 8. Evaluation MSIS Recruited student (40-50) by directcontact + ’ads’ Using real system ondevicesdoingpredeterminedtasks Renumeration by ”lottery” (alternative used in other cases, recruitmentthrough student organizations, theyarepaid per respondent) From MSIS to Campus Guide
  • 9. User-driven innovation of mobile services in Trondheim– example; FindMyFriends-FindPerAnton-FriendRadar Mobile social software application Autumn 2007 during bi-annual student festival Location tagging of students at the student society, 1661 registeredusers/tags Accenture, Sonitor (ultrasound positioning), IBM, NTNU (follow-upresearch) Spring 2008, similarideatested in Wireless Trondheim withdifferentoutdoorpositioningfacilities (e.g. wlanpositioning) Secondaryschool-class as users/testers
  • 10. Smart City Trondheim Collaboration between Trondheim Municipality, Siemens and Bellona + 1/10 ofthehouseholds have signed up, and developed simple energy plans (for how to save onenergy usage) Involvementofschool-children and kindergardensthroughinvolvementofthemunicipality http://www.trondheimsmartcity.no/
  • 11. Summary Solution/actor-fidelity Always a challenge to getinvolvementofthe right type ofusers Useexisting services for user-recruitmentifpossible (and economicallyfeasible) Alliances with partners withlegitimatecontact and goodwill amongusers Needs from researchoftenco-incidewithneeds from innovation (but must be thoughof up front) Privacyissues