Difference between revisions of "User Experience"
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==Context== | ==Context== | ||
| − | Buckminster Fuller provided a good description of human behavior as pretty damn | + | Buckminster Fuller provided a good description of human behavior as pretty damn stable - as in very, very hard to change. He didn't have much patience with any social engineering that was basically trying to change people that were very actively resisting change.<ref>Amando Veve, Farsighted. (2018-10) Wired p. 20</ref> Human's are not engineered entities. They are not intelligently design. They are just a bunch of evolutionary adaptations all the way back to the primordial ooze. So don't try to guess how they will react, just take your best guess and test your design really well. |
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| + | ===Human Factors=== | ||
| + | Ever since machines have been implemented, the need to accommodate Human Factors to get predictable results from the machine have been clear. When airplanes were designed to be warplanes during World War II it was realized that the complexity was beyond human capability to get right consistently from one flight to another. It was only by introducing the checklist that human errors dropped to acceptable levels. Now with the proliferation of computers and even more complex tools for humans to use in situations where attention is not assured, more attention needs to be focused on how the human uses the machines.<ref>JCF de Winter and PA Hancock, ''Why human factors science is demonstrably necessary: historical and evolutionary foundations'' (2021) Ergonomics Vol 64 Issue 9 https://www.tandfonline.com/doi/full/10.1080/00140139.2021.1905882</ref> | ||
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===Transparency=== | ===Transparency=== | ||
Is well defined in paragraph 58 of the [[GDPR]]. | Is well defined in paragraph 58 of the [[GDPR]]. | ||
| − | The principle of transparency requires that any information addressed to the public or to the data subject be concise, easily accessible and easy to understand, and that clear and plain language and, additionally, where appropriate, | + | The principle of transparency requires that any information addressed to the public or to the data subject be concise, easily accessible and easy to understand, and that clear and plain language and, additionally, where appropriate, visualization be used. Such information could be provided in electronic form, for example, when addressed to the public, through a website. This is of particular relevance in situations where the proliferation of actors and the technological complexity of practice make it difficult for the data subject to know and understand whether, by whom and for what purpose personal data relating to him or her are being collected, such as in the case of online advertising. Given that children merit specific protection, any information and communication, where processing is addressed to a child, should be in such a clear and plain language that the child can easily understand. |
==References== | ==References== | ||
Revision as of 23:05, 25 February 2024
Contents
Full Title or Meme
If the User Experience is not producing the desired results, it doesn't help to blame the User, as it is likely to be a rather ordinary human being.
Context
Buckminster Fuller provided a good description of human behavior as pretty damn stable - as in very, very hard to change. He didn't have much patience with any social engineering that was basically trying to change people that were very actively resisting change.[1] Human's are not engineered entities. They are not intelligently design. They are just a bunch of evolutionary adaptations all the way back to the primordial ooze. So don't try to guess how they will react, just take your best guess and test your design really well.
Human Factors
Ever since machines have been implemented, the need to accommodate Human Factors to get predictable results from the machine have been clear. When airplanes were designed to be warplanes during World War II it was realized that the complexity was beyond human capability to get right consistently from one flight to another. It was only by introducing the checklist that human errors dropped to acceptable levels. Now with the proliferation of computers and even more complex tools for humans to use in situations where attention is not assured, more attention needs to be focused on how the human uses the machines.[2]
Transparency
Is well defined in paragraph 58 of the GDPR.
The principle of transparency requires that any information addressed to the public or to the data subject be concise, easily accessible and easy to understand, and that clear and plain language and, additionally, where appropriate, visualization be used. Such information could be provided in electronic form, for example, when addressed to the public, through a website. This is of particular relevance in situations where the proliferation of actors and the technological complexity of practice make it difficult for the data subject to know and understand whether, by whom and for what purpose personal data relating to him or her are being collected, such as in the case of online advertising. Given that children merit specific protection, any information and communication, where processing is addressed to a child, should be in such a clear and plain language that the child can easily understand.
References
- ↑ Amando Veve, Farsighted. (2018-10) Wired p. 20
- ↑ JCF de Winter and PA Hancock, Why human factors science is demonstrably necessary: historical and evolutionary foundations (2021) Ergonomics Vol 64 Issue 9 https://www.tandfonline.com/doi/full/10.1080/00140139.2021.1905882
