Recently, I had a very good conversation about self-beliefs that make people successful. The idea is that people strive to be consistent with the self-belief, so that it actually transforms into behavior and from behavior into habits. For example, if the self-belief is "I am a reliable person", this individual may find it important to be on time and work towards being on time. So this is a self-belief, that can make the person successful. Of course, the environment needs to value the self-belief, too. In that conversation, we also talked about mini-stressors. These are little things, like wondering, if you should have taken a different route to avoid traffic, if you could have influenced a person into a different direction, if your babysitter will be on time and so on. The more mini-stressors you have during a day, the more exhausting your day will be. Without having done any research on this, I assume that a self-belief can turn into a mini-stressor. So, if you take the example of being on time as being an important self-belief, any external factor that keeps you from being on time (traffic, late babysitter), will stress you way more than if you don't hold that self-belief. Is this a catch-22? It certainly can be. But it can be also an opportunity to identify the next self-belief that you may need to revise and fine-tune. And, by the way, moments, when you need to change your course of action, are the ones that make up stories. So, in my case, if I get to a point that challenges my beliefs and it may be very unconfortable, I console myself by telling me that some day in the future the pain will have passed and I will have a good story to tell.
Quite honestly, I was not greatly surprised by the article on BBC, that Artificial Intelligence (AI recruiting did not manage to overcome human bias (see link to the right). Yet, it got me interested in the question, why we are not able to overcome bias in recruiting with AI Just as a reminder: all of us have biases. I like to call them the more subtle siblings of prejudices. Biases operate like filters for information for us, and actually help us in being more efficient with our attention. However, if you want to work for example towards a more egalitarian approach to hiring, they may operate against your intentions. While I am a little conservative when it comes to AI, I have been surprised by some news in the field. For example, I recall findings that computers can become better in playing chess than human beings or can give better diagnosis for patients than physicians. I can't help wondering, if the key difference lies in the nature of the decisions related to each domain. I like the Cynefin model (see right) to classify situations. With both chess and medicine there are clear constraints for the decisions - either rules of the game and the moves of the partner or there are the symptoms that a patients shows. I argue, therefore, that these are either clear or complicated situations. Recruiting falls into a different category. To me it is typically complex (hopefully not chaotic). Even if it is an established role in an established company, there are a lot of unknown factors, for example, whether or not the candidate and the existing team will collaborate well. As the nature of the situation is so different, I wonder, if we understand enough about human heuristics, that is the way we make predictions based on previous experience. Do we know, which heuristics work best in recruiting? A common one is to anticipate future behaviour from past behavior of the candidate. But there must be more. As the employment world is changing so rapidly and new profiles are constantly emerging, there may be jobs for which no one has matching experience. So which heuristics can help then? I personally don't know, but I invite your insights in the comments section.
Vor etwa drei Wochen habe ich die erste Rohfassung des Stücks fertig geschrieben. Nun kommt der Teil, den ich schwieriger finde als die Rohfassung zu schreiben. Jetzt geht es darum, das, was mich persönlich an dem Stoff interessiert hat, für andere zugänglich zu machen. Durch die Fragen einiger Erstleser bin ich zur zentralen Frage gelangt, was ich eigentlich erzählen will. Es geht mir darum, zwei persönliche Entwicklungen in und durch die Extrem-situation lock-down zu zeigen. Nicolas will viel und scheitert an seinen eigenen Ansprüchen. Helene stellt die eignen Ansprüche hinten an, weil sie Nicolas Träume mitträumt, und wird auf sich selbst zurück geworfen. Und es geht mir darum, wie Zwang und Gewalt sich in eine Beziehung einschleichen.
Sometimes I get asked, how I managed to remember so much text during my career as an actress. The simple answer I tend to give is, that I did not remember the text. People get stunned. What I mean to say, is that plays are never purely text to me and I don't remember them as such. I rather remember a whole sequence of where to move when, which emotions occur, things you are trying to do with your partners and how the character develops during the play. Already with the first encounter with a text, which is typically the moment when the whole crew gets together and reads a text out loud, is a moment where you start looking for the things that speak to you, for emotions the text evokes, for images concerning the environment. After that, you typically need time to memorize text, some actors more than others. Next, you would rehearse with the text. You would put the pieces together with your partner(s) in space and time to tell the story. I have found that without rehearsing, I would loose the memorized text after two days. But once you are in the process of rehearsing you are starting to craft the line of development through space and time of a given play. And it is the whole performance that my memory was able to pull up pretty easily for months to years. How can you use this for a life outside of theatre? To the left is the link to a podcast and a graphic on the side that I found insightful. And here are some tips on learning and memorizing out of my own experience: 1) Use timing: Don't expect yourself to remember text. Help your brain with creating a network of logical sequences instead. After A comes B, after B follows C, and then, surprisingly, F is happening, which transforms A. Not everything you are learning may follow the line of a narration, but as our brains love structures of narrations, this can help you in other domains, too. 2) Use imagination: Try to see a picture in your mind of what you are reading about. Reading slowly will help your mind to develop such a picture. 3) Use space: Using gestures to memorize what you are learning can be helpful, as if you were talking to yourself. Also, dedicating a certain places in your surroundings to prompt you to remember things you wanted to learn. 4) Use your voice: Reading silently only involves the eyes. Reading out loud already adds your listening sense to the visual input 5) Think of application: As you are going through the learning process try to think of situations that your current learning may help you with. Make it as specific as possible - who will be there, how may they react, how is that different to what you have done before. It is important that you can see some benefit in your learning. Otherwise, it will be just too much brain effort without rewards, so not likely that you can pursue it for long. 6) Use your emotions: Emotions are markers to remember something. Any emotion can be a marker, if it is disbelief, joy or the famous aha-moment. The important part is to realize what you are feeling. Sometimes you can reconstruct a situation by remembering a feeling and then re-constructing what caused the feeling. 7) Use play: You can use two pens to have a dialogue about the subject you are trying to remember. Or you can use your kitchen equipment to map out a full process. Any analogy or similarity between your subject of learning and the things you already know, will help you with remembering what you wanted to learn. 8) Accept failure: Regardless of all the techniques that you are able to apply, there may be days when nothing seems to work. Remember that learning is not a linear process where you brain will retain the same amount of information every day. Stay away from blaming yourself. Try again next time. 9) Practice. Don't expect any learning to stick with you if you don't repeat it, put it into your own words or apply it. I hope you feel a little curious about your personal learning. Some of these tips may feel like stating the obvious to you, others may be a little awkward. I encourage you to experiment and maybe even come up with your own tips.