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The fundamental principles of Human-Computer Interaction (HCI) design, focusing on understanding users, tasks, and interaction styles. HCI principles are broader in scope than guidelines, requiring clarification and individual interpretation. principles like 'Know Thy User', 'Identify the Tasks', 'Choose an Interaction Style', and 'Golden Rules' from various HCI gurus. It also discusses user proficiency profiles, accommodating multiple user profiles, and integrating automation vs. control.
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fundamental, widely applicable, and enduring”
the need for more clarification, or individual interpretation by interaction designers
know the context of your users and applications very well first
— frequently overlapping, with individual highlights
physical and cognitive abilities, education, culture or ethnicity, training, motivation, goals, personality
interface knowledge domain/task knowledge novice little to none; shallow little to none; shallow first-time little to none; shallow knowledgeable knowledgeable intermittent some, but not specific knowledgeable expert frequent expert expert
Or just a subset? (implies vertical applications)
but also fewer opportunities for error
documentation
HCI gurus provide individual takes on the most important elements of good user interfaces. Here are Shneiderman’s Eight Golden Rules:
Anticipation Defaults Human Interface Objects Protect the User’s Work Autonomy Efficiency of the User Latency Reduction Readability Color Blindness Explorable Interfaces Learnability — Limit Tradeoffs Track State Consistency Fitts’s Law Use of Metaphors Visible Navigation
common themes emerge among these (and other) sets of golden rules — this should give you an idea for prioritization and generality
relate them to how they influence the five metrics of learnability, efficiency, memorability, errors, and subjective satisfaction
converge into the “one, true HCI rulebook”
to a human being’s strengths as opposed to a machine’s:
automation
unexpected, and planning for the future — control
don’t want the computer to “have a mind of its own”
without reducing human involvement” and “train users when to question automation” (2003)
anthropomorphic and adaptive user interfaces grow in popularity and sophistication