Reconexp: Improving ESM Vassilis-Javed Khan, Panos Markopoulos, Berry Eggen, Boris de Ruyter, Wijnand IJsselsteijn Mobile HCI, Amsterdam, 04 september

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Reconexp: Improving ESM Vassilis-Javed Khan, Panos Markopoulos, Berry Eggen, Boris de Ruyter, Wijnand IJsselsteijn Mobile HCI, Amsterdam, 04 september 2008 Slide 2 INDEX What is Experience Sampling Method? Our Application and Study How does it improve ESM? Slide 3 Experience Sampling Method A quasi-naturalistic method that involves signaling questions at subjects at random times throughout the day. Slide 4 ESM is gaining popularity in HCI Hudson et al. (2002) have used the ESM to explore attitudes about availability of managers at IBM Research Consolvo and Walker (2003) have used the ESM for evaluating an Intel Research system called Personal Server Froehlich et al. (2007) used ESM to investigate the relationship between explicit place ratings and implicit aspects of travel such as visit frequency Slide 5 HOWEVER Reported loss of data: at least 20% Slide 6 HOWEVER Reported loss of data: at least 20% How significant is the data lost? Slide 7 GOAL OF OUR STUDY Find out what information are busy parents willing to automatically share among themselves + under which context Slide 8 OVERVIEW 1. Insert info to personalize the ESM 2. Execute ESM for a week 3. Foreach day review answers & fill out the missing points Slide 9 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): Name Places (during a typical working day) Slide 10 Name Places Slide 11 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): Name Places & activities (during a typical working day) Slide 12 Link Activities to places Slide 13 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): Name Places & activities (during a typical working day) Link information to context (place & activity) Slide 14 Link info to context Slide 15 Link info to context name other info Slide 16 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): Name Places & activities (during a typical working day) Link information to context (place & activity) A TYPICAL WORKING WEEK (WEBSITE & PDA): Ask several times about context (at that time) & info willing to automatically share, Slide 17 MOBILE DEVICE Slide 18 REVIEW & UPDATE ON WEBSITE Slide 19 Slide 20 Slide 21 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): Places and activities (during a typical working day) Link information to context (place & activity) A TYPICAL WORKING WEEK (WEBSITE & PDA): Ask several times about context (at that time) & info willing to automatically share, SEMI-STRUCUTRED INTERVIEW. Slide 22 11 PARTICIPANTS Mean Age: 38 (max: 44, min: 28, = 5.72) Mean Number of children: 1.91 (max: 4, min: 1, = 0.79) Mean Age of children: 5.47 (max: 8.5, min: 0.7, = 2.57) Mean Years of marriage: 10.86 (max: 20, min: 2, = 5.22) Mean Hours of work per week: 28.18 (max: 40, min: 20, = 6.63) Slide 23 LOG 1.Log into the system 2.Link information statements to previously not answered question 3.Name Activity which was not answered 4.Name Activity which was not answered using existing value 5.Name Location which was not answered 6.Name Location which was not answered using existing value 7.Name Other Activity 8.Name Other Activity using existing value 9.Name Other Information 10.Name Other Information using existing value 11.Name Other Location 12.Name Other Location using existing value Slide 24 RESULTS Mean number of actions performed (logins not counted in this number) 55.64 Mean logins (in 5 days) 2.91 Mean percentage of activities (2 nd question) not answered: 48.81% Mean percentage of activities recovered (with the website use): 60.13% Overall improvement of the website to the method is 29.35% Slide 25 CONCLUSIONS V.j.khan@tue.nl HTTP://WWW.AWARENESS.ID.TUE.NL Improves on the data loss of ESM Participants & Researcher can have an overview of the data during the execution of the study Answers are personalized Answers can be annotated at a later point in time