22 Matching Annotations
  1. Apr 2017
    1. The top state machine in this slide shows the states of a mouse or touchpad.

      One transition is omitted (maybe intentionally). Even if a mouse is on Out of range state, users still can press the button and probably it does not change the state.

  2. Mar 2017
    1. Why do we want to separate this from the user interface?

      so whole developing process can be distributed to two groups of programmers(frontend, backend) which have different skillsets.

    1. The frequency of the sawtooth carrier wave is dictated by open-loop control, so you can use it to derive your T_m. The frequency of the wave’s envelope, the corrections you had to make to get your scribble back to the lines, is closed-loop control. You can use that to derive your value of T_p + T_c.

      It's hard to understand. Could anyone explain more about this?

    1. Required reading: Holtzblatt & Beyer, Contextual Design, Ch. 3, available on KLMS

      The material was truly helpful. Could you please upload 'focus' part of 'the four principles of contextual inquiry' too?

    1. Cascading submenus are hard to use, because the mouse pointer is constrained to a narrow tunnel in order to get over into the submenu.

      Indeed. I'm always having troubles with moving the mouse cursor to submenus without an error.

    2. The Macintosh menu bar, positioned at the top of the screen, is faster to use than a Windows menu bar

      Really interesting. I didn't feel more than awkward when I first used OS X. There were considerate design thinkings behind the Macintosh UI.

    1. Why do you think printers were singled out?

      I guess printer was the most frequently used hardware among all of hardwares. So explicitly addressing the name 'printer' can help many people get the right route to go.

    2. When designing an interface that requires the user to type in commands or search keywords, support as many aliases or synonyms as you can

      It would be really nice if every searching system operate like google search (ex. natural language processing), but it's quite hard to implement. So we can use a compromised function such as tags.

    3. What’s wrong with the mapping of this bulleted list with respect to the slide above?

      The slide has examples consists of stove burners, car turn signals, another stove burners, realCD, and segway. but the bulleted list is suddenly talking about audio mixer example which is not in the slide.

    1. people looked at 540 words for a brief time each, then took a test in which they had to determine which of a pair of words they had seen on that 540-word list.

      Why is it classified as 'recognition' test rather than 'recall' test? In the definition, major difference of recognition and recall is the existence of visual cue. But I can't see any visual help in the experiment.