December 2011, fyra år sedan. Minns dag för dag. Lite distans har jag fått men alls inte tillräcklig. Jag märker det mest när jag ska välja bilder. Under seglatsen valde kapten vist att vara sparsam med bilder på medseglare. Jag, vid den tiden, talade med de medseglare jag lade ut bilder på, innan jag gjorde det. Och nu tror jag mig ha fått glada tillrop från de flesta som var med (på seglatsen, på bilder jag delat), så att jag vågar. Men ändå. Olika situationer är olika utlämnande.
Stora delar av seglatsen, framför allt det långa benen från Kap Verde till Ascension, var ‘långa’. Det var långsamt, eller jobbigt, eller stressigt, eller. Eller, bara, väntan, förväntan, oro. Det var en bitvis jobbig månad, långt långt långt från familjen. Med en ny tillfällig familj. Vi åt gröt med mandel men utan mjölk, på julafton. Mer om julafton senare.

Make the Internet of Things More Human-Friendly

Reading this for work.

HBR Blog Network - Harvard Business Review

In early research, McKinsey emphasized that the distinctive character of the Internet of Things — which is predicted to be a $7.1 trillion market by 2020 — lay in its ability to operate with little or no “human intervention.” The initial vision involved embedding sensors and actuators in physical objects like UPS packages and factory machinery to sense the environment, transmit “huge volumes of data,” and facilitate new kinds of automation.

But I’d argue that notion is shifting, and that people will be a more deeply intrinsic part of the IoT. And as the Internet of Things (IoT) expands to include people, companies that create value will need to understand user experience, psychological, and even some philosophical concepts much more deeply than they do now. They must learn how people really interact with things and why those things matter.

To make the IoT more human-friendly, the ”things” involved need to do…

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Laws of Systemantics by John Gall

Ahmed's Dev-Shop

  1. The Primal Scenario or Basic Datum of Experience: Systems in general work poorly or not at all. (Complicated systems seldom exceed five percent efficiency.)
  2. The Fundamental Theorem: New systems generate new problems.
  3. The Law of Conservation of Anergy{sic}: The total amount of anergy in the universe is constant. (”Anergy” := ‘human energy’)
  4. Laws of Growth: Systems tend to grow, and as they grow, they encroach.
  5. The Generalized Uncertainty Principle: Systems display antics. (Complicated systems produce unexpected outcomes. The total behavior of large systems cannot be predicted.)
  6. Le Chatelier’s Principle: Complex systems tend to oppose their own proper function. As systems grow in complexity, they tend to oppose their stated function.
  7. Functionary’s Falsity: People in systems do not do what the system says they are doing.
  8. The Operational Fallacy: The system itself does not do what it says it is doing.
  9. The Fundamental Law of Administrative Workings (F.L.A.W): Things…

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