2. how machines take control two monologues do not make a dialogue where are we going? who is in charge? the rise of the smart machine thinking for machines is easy, physical actions are hard, logic is simple, emotion difficult communicating with our machines: we are two different species cautious cars and cantankerous kitchens don norman | 2007
3.
4. the reason is simple yet contradictory – because they lack power and intelligence...
5. ... the example of difference between a powerful negotiator and a lower-level employee – lower-level employee is at advantage
6. the aim is to create a nice dialogue between the user and the machine, a mutual understanding
12. “... actions are apt to be taken arbitrarily, with the system making gross assumptions about your intentions from a limited sample of your behaviour.” p.9
13. major theme of this book, is the necessity of machines to socialize.
14.
15. technology is useful/helpful when everything is working fine, under certain pre-defined circumstances
16. yet, they cannot judge situations that are not pre-defined
17. the intelligence of machines come from designers who pre-defines the contexts, yet the designer is not there to help when unexpected arrives – thus machines fail to adapt
18. machines may be superior in speed, power and consistency, yet they are inferior in social skills, creativity and imagination
19. yet it is not the problem of being right or wrong, it is the mismatch – the clash of wills
20.
21.
22.
23. the first three examples require considerable effort, training and skill, to achieve that kind of relationship
24. and in the fourth example, it does not require high-level user skills, yet careful attention of the designer – to appropriate modes of social interaction
25.
26. machines and humans are different in their perception of easy and hard...
27. ... machines progressed in thinking – especially when logic and attention to detail is required, yet physical actions remained difficult...
28. ... human and animal behaviour is characterized with emotions, in which machines fail by being too simplistic
29. even so, scientists believe in the possibility of effective communication between humans and machines
30. but the question is, do we trust the machine, or better the mind of designer behind it, to know what is best for us?
31.
32. our present path in adopting technology in our lives is in contradiction with our best intentions
33. in present, we confront machines trying to interact with us socially...
34. ...yet we need a calmer, more reliable, more humane approach...
