HCI Research as Problem-Solving

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" summary

Frames HCI as a problem-solving enterprise using Larry Laudan’s notion of problem–solution pairs, arguing papers should be judged by five concrete criteria: significance; effectiveness, efficiency, transfer; confidence. It defines three actionable problem types—empirical, conceptual, constructive—and shows Tangible Bits scores higher on significance while Fitts’ Law scores higher on efficiency and transfer. A corpus analysis of CHI papers finds most work is empirical/constructive and that conceptually tied work is scarce. The authors publish a heuristic table and apply it to Fitts’ Law to set concrete research goals.

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" chapters (11)

1. 0:00Introduction to belief systems
2. 1:54Problems in HCI field
3. 2:56Problem-solving capacity concept
4. 5:32Three problem types in HCI
5. 7:04Five elements of problem-solving
6. 8:28Comparing classic contributions
7. 9:50HCI as a problem-solving field
8. 10:53Analysis of best papers
9. 11:55Exposing flaws in belief systems
10. 13:21Summary and implications
11. 14:28Q&A begins