1. Meisami Yesha Mondal Czarnota Irwin

2. Observing mobile device use in a Barns & Nobel cafe Observing Date and time: Sunday, February 24, 2013 4 pm- 7pm Parisa Meisami

3. Address 4801 Bethesda Ave, Bethesda, MD 20814

4. Inside the Cafe http://www.kestan.com

5. : (almost 50 people) Demography: (almost 50 people) Best guess: 25 women, 25 men 25 women, 25 men No person younger than 18 No person younger than 18 10 people were African- American, not sure about Hispanics, and rest of them were whites 10 people were African- American, not sure about Hispanics, and rest of them were whites The average age seemed to be 40 The average age seemed to be 40 No disables No disables

6. Observation Younger adults: Studying, reading and writing Strongly Mac users Had iPhones, iPods or used their laptops to listen to music Middle age and older adults: Reading, searching Had both PC and Mac laptops Older ones had dated laptops Someone tried to take a photo with his smartphone from a book cover

7. Results from a Sunday evening observation Except for the students, it seemed to me that only one patron was working on a project. The rest were enjoying their time. Except for the students, it seemed to me that only one patron was working on a project. The rest were enjoying their time.

9. Introduction This observation was conducted in the commons, specifically the section between the coffee shop and the tables across from SalsaRitas The people observed were seen with many different devices The most popular devices included iPhones, iPads, and multibrand laptops

10. Applications of interest Facebook MyUMBC Gmail Google Various search engines

11. Patterns? Facebook appeared to be the most popular application among the iPhone users Multi-tasking between using the iPhone and another mobile device such as an iPad or laptop was very common Although mobile platforms are available for myumbc, gmail, and google- it seems that there was a marked preference for using these applications on larger platforms

15. Lifetime Fitness Columbia Dhruba

17. Timeline 9 6

18. Highlights Highlights * 99% using mobile device * Distinct usecase * All kinds of mobile devices

19. Use Case by Area 1) Stretch Area: Tracking, Song 2) Cardio: Songs,video, reading 3) Swimming pool: Songs, tracking device 4) Spa: Reading, song 5) Weights: Songs, Radio 6) Studio: Laptop 7) Rock climbing wall: Camera

20. Device: 1) Smart Phone 2) E-Reader 3) MP3 play 4) Tablet 5) Heart rate tracking device 6) Smartwatch 7) Laptop

21. Accessories 1) Bluetooth headset

22. Observing Mobile Device Use in a Public Place Nate Czarnota

23. Location

24. Issue +

26. Increased Focus on Mobile Device High investment in activities on mobile phone Sun glare Use of two hands

27. Wearable Computing Heads up display for mobile phones

28. Germaine Prezi