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

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Presentation on theme: "Reconexp: Improving ESM Vassilis-Javed Khan, Panos Markopoulos, Berry Eggen, Boris de Ruyter, Wijnand IJsselsteijn Mobile HCI, Amsterdam, 04 september."— Presentation transcript:

1 Reconexp: Improving ESM Vassilis-Javed Khan, Panos Markopoulos, Berry Eggen, Boris de Ruyter, Wijnand IJsselsteijn Mobile HCI, Amsterdam, 04 september 2008

2 INDEX What is Experience Sampling Method? Our Application and Study How does it improve ESM?

3 Experience Sampling Method A quasi-naturalistic method that involves signaling questions at subjects at random times throughout the day.

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

5 HOWEVER… Reported loss of data: at least 20%

6 HOWEVER… Reported loss of data: at least 20% How significant is the data lost?

7 GOAL OF OUR STUDY Find out what information are “busy parents” willing to automatically share among themselves + under which context

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

9 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): –Name Places (during a typical working day)

10 Name Places

11 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): –Name Places & activities (during a typical working day)

12 Link Activities to places

13 OVERVIEW OF THE STUDY INITIAL TASK (WEBSITE): –Name Places & activities (during a typical working day) –Link information to context (place & activity)

14 Link info to context

15 Link info to context – name other info

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,

17 MOBILE DEVICE

18 REVIEW & UPDATE ON WEBSITE

19

20

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.

22 11 PARTICIPANTS Mean Age: 38 (max: 44, min: 28, σ = 5.72) Mean Number of children: 1.91 (max: 4, min: 1, σ = 0.79) Mean Age of children: 5.47 (max: 8.5, min: 0.7, σ = 2.57) Mean Years of marriage: (max: 20, min: 2, σ = 5.22) Mean Hours of work per week: (max: 40, min: 20, σ = 6.63)

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

24 RESULTS Mean number of actions performed (logins not counted in this number) 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%

25 CONCLUSIONS 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


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