A deficit in one or more of these 7 skills:
Autonomy - the need to control the course of our lives
Belonging/Relatedness - the need to fit in / the need to have a close, affectionate relationship with others
Competence - the need to be effective in dealing with environment / challenges
The experience of autonomy, belonging, and competence/relatedness fosters volition, motivation, and engagement which results in enhanced performance, persistence, and creativity
The point in working on something where nothing else in the room matters, time speeds up, and you are in the zone.
Also known as, "Wait, it's that time already?"
Flow state can be disrupted severely in as little as 1-2 minutes of distraction
Auto - self
Telic - goal
Autotelic - finding joy in accomplishing the goals that you set for yourself
Shoshin - release or absence of preconceptions, a general sense of optimism, and an attitude of viewing everything with fresh eyes
Fudoushin - being well versed in the art of taking a deep breath and letting stress go; staying calmly resolute
Mushin - flow state; free from emotions and thoughts; the ability to act without planning; living in the current moment
Zanshin - being present; a general and constant state of relaxed awareness or perceptiveness of surroundings and situations
There [are] domains where human background knowledge is essential and where a lot of tacit knowledge which is difficult to represent in an algorithm plays a role. In such a case the human-in-the-loop approach may yield much better results. [1]
Studies report that forecasters may desire to adjust algorithmic outputs to gain a sense of ownership of the forecasts due to a lack of trust in statistical models. [2]
Visualization and Learning - Typically that type of system means that the user will have some interactions that change a model, whether directly or indirectly. Getting engagement like that may really change the landscape of participation. It chances the idea of accuracy that you can test because they accuracy will evolve based on the human.
How can we measure the knowledge integration? What is the baseline when truly doing human-in-the-loop?
[1] Research has shown that domain expertise diminished people's reliance on algorithmic forecasts which led to a worse performance. (Hal R Arkes, Robyn M Dawes, Caryn Christensen. 1986. Factors Influencing the Use of a Decision Rule in a Probabilistic Task. Organizational Behavior and Human Decision Processes. 37(1):93-110)
[2] Berkeley J. Dietvorst, Joseph P Simmons, and Cade Massey. 2016. Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If THey Can (Even Slightly ) Modify Them. Management Science.
Typically that type of system means that the user will have some interactions that change a model, whether directly or indirectly. Getting engagement like that may really change the landscape of participation. It chances the idea of accuracy that you can test because they accuracy will evolve based on the human.
How can we measure the knowledge integration? What is the baseline when truly doing human-in-the-loop?
[1] Research has shown that domain expertise diminished people's reliance on algorithmic forecasts which led to a worse performance. (Hal R Arkes, Robyn M Dawes, Caryn Christensen. 1986. Factors Influencing the Use of a Decision Rule in a Probabilistic Task. Organizational Behavior and Human Decision Processes. 37(1):93-110)
[2] Berkeley J. Dietvorst, Joseph P Simmons, and Cade Massey. 2016. Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If THey Can (Even Slightly ) Modify Them. Management Science.