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Design and evaluation

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Title: Design and evaluation


1
Design and evaluation
  • Victor Kaptelinin
  • October 2, 2006

2
Outline
  • Design
  • What is (interaction) design?
  • Perspectives on design
  • Methods
  • Prototypes
  • Types of prototypes
  • Advantages and disadvantages
  • Evaluation
  • Paradigms
  • Techniques

3
Literature
  • Löwgren and Stolterman, 1999
  • Hackos and Redish, 1998
  • Preece et al, 2002

4
Design Salen and Zimmerman
  • Design is the process by which a designer creates
    a context to be encountered by a participant,
    from which meaning emerges

5
Design more definitions
  • Design (6b) The process of selecting the means
    and contriving the elements, steps, and
    procedures for producing what will adequately
    satisfy some need
  • (Webster New International Dictionary)
  • Interaction design refers to the process that is
    arranged within existing resource constraints to
    create, shape, and decide all use-oriented
    qualities (structural, functional, ethical, and
    esthetic) of a digital artifact for one or many
    clients
  • (Löwgren and Stolterman, 2004)

6
Design and SDLC
design
Early prototype(s)
Formative evaluation
Advanced prototype(s)
Concept
Summative evaluation
Requirement specification
Implementation
Problem identification
Deployment
User studies
Adoption
PRACTICE (real world)
7
Methods and perspectives on the designer
  • Designer as a black box
  • Design is an art methods should stimulate
    creativity
  • Designer as a glass box
  • Design is an exact science methods should
    provide how to knowledge
  • Designer as a self-organizing system
  • Design is an art that can be improved by how
    to knowledge

8
Selected methods
  • Brainstorming (including 635)
  • The six thinking hats
  • Why-why-why?
  • Function analysis
  • Main, necessary, desirable, undesirable
  • Innovation by boundary shifting
  • Future workshops

9
Prototypes
  • What is a prototype?
  • Low-fidelity vs. high-fidelity prototypes
  • Prototypes and mock-ups
  • Advantages and disadvantages
  • Low fidelity, paper and pencil
  • Low fidelity, non-interactive, computer-drawn
  • Low fidelity, computer-created
  • High fidelity
  • Why prototypes?
  • Building prototypes

10
Advantages and disadvantagesLow fidelity (paper
and pencil)
  • Advantages
  • Low cost
  • Fast and easy to create and change
  • Require simple tools
  • Work well to illustrate concepts and explore
    metaphors
  • Everyone can participate in creating
  • Seem more changeable and may encourage more
    suggestions
  • Disadvantages
  • Show only some of the functionality
  • May show features that cannot be implemented
  • Are destined to be thrown away
  • Require a human to simulate the work of IT
  • May not be taken seriously

11
Advantages and disadvantagesHigh fidelity
  • Advantages
  • Users can work with them directly
  • Look and feel like a final product
  • May show what can be implemented in the final
    product
  • Can be used by marketing and sales
  • Disadvantages
  • Expensive
  • Time-consuming
  • Require knowledge of a prototyping tool
  • May raise unrealistic expectations (the product
    is almost ready)

12
Why prototype?
  • Saves money
  • Makes ideas concrete
  • Stimulates modifications and alternatives
  • Involves users

13
Building prototypes
  • Deciding where to start
  • Building paper prototypes
  • Setting up a grid
  • Dont feel all the details first
  • Make neat copies to show to others
  • Prototyping as a team
  • What do you need to prepare?
  • Participants
  • Communication in the team

14
Evaluation example
15
Evaluation paradigms
  • Quick and dirty evaluation
  • Usability testing
  • Field studies
  • Predictive evaluation

16
Evaluation techniques
  • Observing users
  • Asking users
  • Asking experts
  • Testing users performance
  • Modeling users

17
The DECIDE framework (Preece et al, 2002)
  • Determine goals
  • Explore questions
  • Choose the paradigm and techniques
  • Identify practical issues
  • Decide how to deal with ethical issues
  • Evaluate, interpret, and present the data
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