1. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Mobile Computing II Mobile Devices 70-451 Management Information Systems Robert Monroe November 24, 2009

2. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Quiz 1.Name one platform for mobile computing 2.What is the name of the project/website/organization working with remote sensors on mobile devices that you listed on the wiki prior to class? 3.True or false: it is possible to track the movement of groups of people by analyzing data on mobile phone locations through 3G networks.

3. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Goals For Today By the end of today's class you should be able to: –Identify, and provide examples of, the major mobile device platforms –Apply the Emerging IT Analysis Framework to current and emerging mobile device platforms –Describe some of the emerging business opportunities that ubiquitous mobile computing platforms and wireless networks create

4. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Into The Cloud And Back Out… Image source: Wikipedia Data Processing Data Processing Rich I/O

5. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Mobile Computing Platforms

6. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Communication Tools Are Going Mobile

7. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Computing Platforms Are Going Mobile

8. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems … And Evolving Into Mobile Computing Devices

9. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems What Does A “Mobile Computing Device” Do? Provide a useful way to collect, display, and process data and information while not connected to a fixed power or networking source Connect to data sources –Wirelessly or wired –Continuously or intermittently Provide input and output mechanisms

10. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Beyond The Cloud – Mobile Devices There are many categories of emerging mobile computing devices Stand-alone vs. Wireless Networking General Purpose Special Purpose

11. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Beyond The Cloud – Mobile Devices Stand-alone vs. Wireless Networking General Purpose Special Purpose

12. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Some Major Mobile Platforms Laptops and Netbooks – windows, mac, linux Smartphones – iPhone, Blackberry, Symbian, Android iPods and mp3 players Kindle, eBooks Cars Anything else?

13. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Smartphones As Mobile Device Platforms What do they do? What do they not do? What problems do they solve (and for whom)? What problems do they cause (and for whom)? Complementary technologies? Network effects? Technical maturity?

14. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems New Technologies Lead To New Opportunities Big idea: use mobile phones to gather data, wireless networks to collect data, and the cloud to aggregate and analyze it So how might this play out? How might we turn this big idea into compelling new products, services, and solutions to pressing social problems?

15. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems First Stage: Active Data Collection / Aggregation People actively use mobile computing device to collect, tag and upload data –Optionally, use mobiles to display results also Examples: –Geo-tagging photos and videos for Google Maps / Earth –Trapster – avoid speeding tickets –Collecting video of news events by mobile phone camera –Tracking disease / managing disaster response INSTEDD project Telstra project – teen depression, mental illness

16. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Second Stage: Active Collection With Devices Extend previous model by using mobile phones as a network link for substantially more sophisticated devices Example: Low-cost ultrasound reader for the developing world

17. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Third Stage: Passive Data Collection/Aggregation Use mobile computing devices to collect, tag and upload data without any intervention from people –Generally requires additional sensors be added to the phone (environmental, gps, etc.) Examples: –Measuring and tracking environmental pollutants Noise - www.noisetube.net Air particulates, chemicals, heat, humidity, etc. –Traffic management and congestion control www.trafficgauge.com –Social and urban patterns – WikiCity senseable.mit.edu/wikicity

18. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems Evaluating The Opportunity: Environmental Monitoring Let’s consider one class of mobile devices and one specific problem Devices: smartphones with pollution sensors Scenario: you are working at a Qatari government ministry that is charged with maintaining and improving healthy environmental conditions. You have been tasked with evaluating whether (and how) the ministry should leverage mobile devices to monitor and reduce pollution levels

19. Carnegie Mellon University ©2006 - 2009 Robert T. Monroe 70-451 Management Information Systems For Next Tuesday Next Tuesday we will look at some ethical issues that arise with information systems Prior to class please read Harvard Business School note on IS Ethics, and propose an ethical dilemna related to the use or development of an information system that you post to the wiki –…details on the wiki