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Usability in Pervasive Computing Environment

Usability in Pervasive Computing Environment. Advance Usability October 18, 2004 Anuj A. Nanavati. Agenda. Introduction Usability in pervasive computing Pervasive Computing (PVC) lab at IBM Austin Lab overview Our work Discussion issues . Introduction.

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Usability in Pervasive Computing Environment

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  1. Usability in Pervasive Computing Environment Advance Usability October 18, 2004 Anuj A. Nanavati

  2. Agenda • Introduction • Usability in pervasive computing • Pervasive Computing (PVC) lab at IBM Austin • Lab overview • Our work • Discussion issues

  3. Introduction • "Things that think want to link", Nicholas Negraponte of MIT Media Labs • Nomadic/Amorphous/Ubiquitous computing • User centered not machine or function centered • Environment of connected computing devices • Not personal computers but embedded or mobile devices • General purpose devices • Communicating through interconnected network • Remote access through internet

  4. Introduction • Major players • PARC – origin of ubiquitous computing research • IBM – PVC Lab • Microsoft – Easy Living • MIT – Project Oxygen • NIST – Smart Space • CMU – Project Aura

  5. Usability in Pervasive Computing • Why usability testing? • Understanding user interface • User interaction with devices • Challenges in usability testing • New environment for users • No predefined user tasks • Remotely moderated testing • Wide range of devices – LCD on oven to PDA • Tasks in multiple sessions and on multiple devices • Testing tool should be independent of the device being monitored

  6. PVC Lab at IBM AustinLab overview • “Proof of concept” of networked areas • Living room – TV, CD player, etc. • Kitchen – oven, ScreenFridge, iron, etc. • Garage – car • Exercise room • Devices • Devices common in above areas • Control devices • Wireless touch control Web pad • Connected through a service gateway • Physical Web site • Every device has a URL

  7. PVC lab overview

  8. PVC lab overview • Technology • Wireless technology • Radio Frequency tags – RFID • Intelligent sensors • Embedded devices

  9. Our WorkGoals and Concepts – Dr. Bias • Goals • Identify and fix usability problems in current UI • Identify gaps in current usability testing methods • Concepts • Remote migratory transactions • Start on one device complete on another • Device independent UI • Start on PDA complete on ScreenFridge • Task oriented UI compared to function guided • Supports the users in completion of their tasks • Task categorization - taskonomy

  10. Usability Testing • User interface for testing • Engaged areas • Engaged devices • Recording options • Remote views • Other options - data logging, data analyses etc. • Sam’s Mock up: http://www.ischool.utexas.edu/~sburns/pervasive/# • Data collection requirements • Observational data – Audio/video • Biometric data

  11. Usability TestingData Collection Requirements • Biometric data • Eye Tracking • Galvanic Skin Responses • Heart Rate • Blood Volume • Stress Parameters • Blood Flow

  12. Data Collection RequirementsBiometric data • Ubiquitous physiological monitoring • Dr. Emil Jovanov from The University of Alabama at Huntsville • Prototype for Wireless Body Area Network (BAN) of intelligent sensors (WISE) • Personal medical monitoring • Body sensors for brain, heart, movements etc. • Sensors (WISE clients) controlled by a single server (WISE server)  connected to internet through a gateway

  13. Data Collection RequirementsBiometric data

  14. Taskonomy • Modeling user behavior in pervasive computing environment • Categorize current user tasks into predefined categories to facilitate UI design and usability testing methods: • Assign future tasks to a category • Assign devices to a category • Task categories • User initiated vs. system initiated • Single session vs. multiple sessions • Single device vs. multiple devices • Same vs. different device • Single user vs. multiple users • Task scenarios • Data downloading/uploading • Heating food • Setting up the temperature • Many more….

  15. Taskonomy • Structured representation of user tasks • Task driven computing (2000), Zenyu Wang and David Garlan, CMU • Relieving Users from the Distractions of Ubiquity: Task-Centered Architectural Framework (2002),  João Pedro Sousa, CMU • Task Description language (TDL) • Three step approach • Based on Object Modeling

  16. D1 D2 D3 D5 D4 Taskonomy • Three step approach • Identification • Devices • Task categories • Task scenarios • Connection • Device  device • Device  task category • Device  scenario • Modeling • Scenario X for task category Y • Problems • Defining scenarios • Defining sub scenarios (actions) Links between devices show sub scenarios (actions) for a particular scenario of a task category

  17. PDA PDA WORK WORK OVEN GAME Taskonomy - Example • Scenario-1 (S1): Heat up the food kept in oven using your PDA through your work computer. • Task category-1 (T1): • User initiated • Ending on different device • Apply UI Design techniques (UID1) and Usability testing (UT1) methods to S1 and T1 • Imagine in future similar scenario (S115) with same task category (T1) comes up. • Apply UID1 and UT1 to S115 S1 and T1 S115 and T1

  18. Discussion Issues • Usability beyond traditional methods • UI beyond traditional UI • Modeling user behavior in pervasive computing environment • Concerns • Privacy • Security

  19. References • IBM’s PVC Lab Candace A. York, Senior software engineer, IBM http://www-106.ibm.com/developerworks/wireless/library/wi-pvc/ • Ubiquitous and pervasive computing resources http://www.iturls.com/English/TechHotspot/TH_77.asp • Stress monitoring using a distributed wireless intelligent sensor system 2003, Emil Jovanov, IEEE • Task driven computing 2000, Zenyu Wang and David Garlan, CMU • Relieving Users from the Distractions of Ubiquity: Task-Centered Architectural Framework 2002,  João Pedro Sousa, CMU

  20. Thank You

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