家/ブログ/AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

There once was an AI named Chat who was really good at repeating back information it already knew. One day, Chat was given to some office workers [1] to help them with their jobs. Some of the workers were experts at their jobs, while others were still learning.

At first, Chat helped all the workers get more work done faster - even the experts! But soon, the experts noticed something funny. The workers who were still learning got way MORE help from Chat. The new workers improved a lot using Chat, doing their work faster and better than ever before!

The experts wondered why Chat didn't help them as much. That's when they realized - that Chat is an expert at repeating back facts but can't come up with brand new ideas. So, for workers who already knew those facts, Chat didn't offer them that much new help. But for newer workers still learning those basics, Chat was able to teach them so much more!

This shows a correlation - as in, two things that relate to each other and change together. The more expert a worker already was, the less helpful Chat was for them. But for newer workers, Chat could help them almost as much as the experts! It's because of their different starting points. Chat has a limit to how expert it can be. So, the closer a worker already was to Chat's expertise, the less new stuff Chat offered them.

The experts and newbies improved at different rates thanks to Chat. Their own expertise compared to Chat's matters for how much more they can learn. That connection in how much they improve is the correlation!

The SDTEST^® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.

Imagine also giving an "A.I. and the end of civilization" poll. It asks people to rate at the agree or disagree level.

Now imagine 100 people who took both tests. You could match up each person's SDTEST^® colors with their rated answers about the danger of AI.

Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!

Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like what is the perception of the danger of AI. Combined, they paint a richer picture of what motivates our thoughts and deeds.

Below you can read an abridged version of the results of our VUCA poll “A.I. and the end of civilization“. The full results of the poll are available for free in the FAQ section after login or registration.

人工知能と文明の終わり

チャート相関

VUCA

統計学的に有意な相関があります

ウィリアム・シーリー・ゴセット（学生）による正規分布 r = 7.63

スピアマンによる非正規分布 r = 0.31

結果のみを表示します > r = 7.63

投票の質問

すべての質問

1) 安全（あなたはどれくらい同意しますか、それとも反対しますか？）

2) コントロール（あなたはいくら同意しますか、それとも反対しますか？）

分布

正の相関,%

負の相関,%

普通

1.1 Answer 1 1.8 Answer 2 4.8 Answer 3 1.4 Answer 4 2.5 Answer 5 #1	-6.6 Answer 10 -5.2 Answer 11 #1
1.7 Answer 6 4 Answer 7 3 Answer 8 7.9 Answer 9 #2	-5.6 Answer 12 -4.5 Answer 13 -3.8 Answer 14 #2

普通

3.6 Answer 11 5.5 Answer 4 #1	-5.8 Answer 1 -0.2 Answer 10 -0.5 Answer 2 -1.4 Answer 3 -1.1 Answer 5 #1
4.9 Answer 6 0.6 Answer 14 7.7 Answer 8 0.2 Answer 9 #2	-7.5 Answer 12 -1.6 Answer 13 -1.4 Answer 7 #2

普通

4.4 Answer 10 #1	-0.9 Answer 1 -0.9 Answer 2 -3.3 Answer 3 -0.1 Answer 11 -0.1 Answer 4 #1
8.5 Answer 13 0.9 Answer 8 #2	-1.8 Answer 12 -1.4 Answer 6 -1 Answer 7 -7 Answer 14 -2.2 Answer 9 #2

普通

4.6 Answer 2 5.1 Answer 11 8 Answer 4 #1	-9.9 Answer 1 -3 Answer 10 -3.9 Answer 3 -1.2 Answer 5 #1
5.6 Answer 12 3.2 Answer 13 3.5 Answer 14 #2	-0.2 Answer 6 -6.2 Answer 7 -0.1 Answer 8 -8.1 Answer 9 #2

普通

11.1 Answer 1 4 Answer 10 1.9 Answer 3 #1	-0.7 Answer 2 -1.9 Answer 11 -8.4 Answer 4 -5.4 Answer 5 #1
6.2 Answer 12 1.3 Answer 7 6.1 Answer 14 #2	-4.1 Answer 13 -4 Answer 6 -1 Answer 8 -3.1 Answer 9 #2

非正常

0.2 Answer 10 0.6 Answer 3 11.4 Answer 5 #1	-0.3 Answer 1 -4.8 Answer 2 -1.1 Answer 11 -5.8 Answer 4 #1
1.7 Answer 12 1.1 Answer 7 3.3 Answer 14 6.1 Answer 9 #2	-2.7 Answer 13 -3.2 Answer 6 -4.2 Answer 8 #2

普通

7.1 Answer 1 2.8 Answer 10 1.7 Answer 3 0.4 Answer 11 #1	-1.5 Answer 2 -4 Answer 4 -5.6 Answer 5 #1
2.8 Answer 12 0.7 Answer 13 1.8 Answer 6 3.2 Answer 7 0.4 Answer 9 #2	-1.3 Answer 14 -10.9 Answer 8 #2

MS Excelへのエクスポート

この機能は、独自のVUCA投票で利用できるようになります

[1] https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf

2023.11.27

Valerii Kosenko

プロダクトオーナーSaaS PetProjectSdtest®

Valeriiは、1993年に社会教育教師の心理学者としての資格があり、その後、プロジェクト管理に関する知識を適用しています。
Valeriiは2013年に修士号とプロジェクトおよびプログラムマネージャーの資格を取得しました。修士課程のプログラムで、彼はプロジェクトロードマップ（GPM DeutscheGesellschaftFürProjektmanagemente。V。）とスパイラルダイナミクスに精通しました。
Valeriiはさまざまなスパイラルダイナミクステストを受け、彼の知識と経験を使用して、現在のバージョンのSDTestを適応させました。
Valeriiは、V.U.C.Aの不確実性を調査する著者です。精神学におけるスパイラルダイナミクスと数学統計を使用した概念、20を超える国際的な世論調査。

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