14. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
15. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
16. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
17. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
18. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
19. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
20. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
21. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
22. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
23. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
24. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
25. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
26. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
27. The study
• Why do people buy new machines? Can we design
computer systems to avoid future replacements?
• Study elements:
Physical
worn out broken old styling
issues
erratic
tuning/
“feels” slow behaving
Technical
untidy
software
otherwise
attractive peer has
“out-of-
Advertising
advertising newer one
date”
30. Plan of attack
• Friday, Sept. 14: Group formed
• Wednesday, Sept. 26: Group proposal: theory,
structure, and begin informal interviews.
• October 7: Interviews and pre-testing finished
• October 14: Final survey design finished
• November 2: Data collection finished
• November 16: Data analysis finished
• December 5: Completed paper draft
