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Usability in Pervasive Computing Environment

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Prototype for Wireless Body Area Network (BAN) of intelligent sensors (WISE) ... Stress monitoring using a distributed wireless intelligent sensor system ... – PowerPoint PPT presentation

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Title: Usability in Pervasive Computing Environment


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.
  • Sams Mock up http//www.ischool.utexas.edu/sbur
    ns/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
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
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
  • IBMs PVC Lab
  • Candace A. York, Senior software engineer, IBM
  • http//www-106.ibm.com/developerworks/wireless/lib
    rary/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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