HCI research paradigms
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Transcript HCI research paradigms
How to Characterize a Research
Line for User-System Interaction
Prof. dr. Matthias Rauterberg
[email protected]
http://www.ipo.tue.nl/homepages/mrauterb/
IPO, Center for User-System Interaction
TU/e, Eindhoven University of Technology
Research versus Design Paradigms
positivism
technical rationality
rational problem solving
© M. Rauterberg, TU/e
phenomenology
etc, e.g.
“Vienna Circle”
etc, e.g.
“phase models”
constructionism
design as reflective practice
etc, e.g.
“idealism”
etc, e.g.
“hermeneutic”
Results from both Paradigms
positivism
limits
assessment criteria
© M. Rauterberg, TU/e
constructionism
attractors
design solutions
Comparison of both Paradigms
theories and models
abstracting
reality (t1)
concretisation
reality (t2)
positivism :
constructionism :
{theory, model reality
{theory, model reality
reality (t1) = reality (t2)
reality (t1) reality (t2)
© M. Rauterberg, TU/e
What is User-System Interaction about?
Working domain
Goal:
Actual Performance
=>
Desired Performance
Working system
user
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system
Interface Design or Interaction Design?
user
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interaction
system
Challenges of USI research
user
perception
emotion
interaction
cognition
action
?
effectiveness
efficiency
satisfaction
© M. Rauterberg, TU/e
system
functionality
architecture
input/output
data structure
USI Research Line
- basic cycle Design relevant
knowledge
analysis
synthesis
[empirical]
validation
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Interactive systems
USI link to Industry
- marketing cycle market success
commercial product
Industry
Design relevant
knowledge
analysis
synthesis
validation
© M. Rauterberg, TU/e
Interactive systems
Science
USI Research Line
- validation cycle Design relevant
knowledge
analysis
• expert
• formal method
• user model
• real end user
empirical
validation
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synthesis
validation
Interactive systems
USI Research Line
- development cycle Design relevant
knowledge
analysis
synthesis
validation
Interactive systems
• concept
• prototype
• demonstrator
• real system
empirical
validation
© M. Rauterberg, TU/e
Conclusions
• a coherent and powerful corpus of descriptors
and technical terminology
• a theoretical framework to investigate the
interaction space
• a rigorous validation method to prove the
design relevant knowledge
© M. Rauterberg, TU/e