Let’s start from evaluation. When have a computer that does something, we want to see if it does it well. So, this (“seeing if it does well”) is called evaluation. Evaluation is at the core of pretty much every computational technique, such as algorithm, model, system, device, etc. We want these things to work and improve people’s lives. And that…
A major problem in user studies are high SDs (=standard deviation). People generally experience and perceive things differently. This imposes problems for statistical analysis of user study data, because methods are often based on means, e.g., means comparison (t-test, ANOVA). Consider two cases: participant A gives on a five-point likert scale the rating 5 to a system (maximum), participant B…
MIRH: Motivate, Inspire, Relay personal experiences, Hold accountable >> four advantages human educators have in comparison to AI MOTIVATE: People still rely on other people to be motivated. Except if a person has strong intrinsic motivation, then they don’t need to be motivated. But many students need to be motivated and the generic “Hello, I am your friendly AI assistant…
Been playing chess recently. Chess is oddly similar to research. Thinking and writing require steps similar to moving pieces on board, with eventually the paper you’re writing being the board. Concepts and sentences are the pieces. You need to move them into the correct order (position) on the board. And there is a similar goal of making the opponent (reviewer)…
1. Google Ads is nowadays NOT much about selecting keywords >> Google Ads is no longer about keyword selection >> Google Ads is most typically selecting the keywords on your behalf, especially in Performance Max campaigns >> there can be some campaigns (e.g., brand) in which you’d still want to manually select keywords, but this practice is no longer the…
Replacing human labor does not equate to replacing humans. I’m arguing that humans will always need other humans. And for that reason, there’s always need for human work. This is sort of “Gödel’s incompleteness theorem”; that new innovations always yield new work tasks, job positions, and stuff for people to do. I’m basing this on historical precedence: during industrialization (starting…