How System Design Influences Mental Model Formation

How System Design Influences Mental Model FormationHow System Design Influences Mental Model Formation

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Nisarg Rajpura

• 16h

Generative AI systems do more than generate outputs. They shape how users understand reliability, boundaries, and control.

In this article, I explore how system behavior, feedback, and interaction patterns influence mental model formation, and what that means for designing AI systems that people can truly understand and work with.

Read here: https://open.substack.com/pub/nisargrajpura/p/how-system-design-shapes-mental-models?r=7f2oj&utm_campaign=post&utm_medium=web

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Nisarg Rajpura

• 1d

Trust in generative AI is not a function of performance alone. It shifts with task difficulty, perceived capability, and the alignment between human reasoning and system output.

In this article, I unpack these dynamics, exploring where trust breaks, where it holds, and what it takes to design AI systems people can confidently act on.

Read here: https://open.substack.com/pub/nisargrajpura/p/the-relationship-between-human-trust?r=7f2oj&utm_campaign=post&utm_medium=web

NOMAN IJAZ

pro

• 1d

Can AI do this? What’s your take when you see someone using AI in the wrong way?

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Jarar Malik

• 1d

I experimented with Dreamina using the Seedream 5.0 model to generate cinematic AI scenes where I’m posing next to my favorite Hot Wheels cars.

The workflow was simple: • Upload a face reference • Upload a car reference • Add a short prompt

Within seconds, Dreamina generated detailed visuals that feel almost like stylized editorial photography.

It’s a creative example of how generative AI can blend personal identity, nostalgia, and car culture into visual storytelling.

Dreamina: https://bit.ly/uiuxjararm2

Prompts used: https://drive.google.com/file/d/1AyNpAet_UzPZ34ULBTrhCUCMk9JR3p-v/view?usp=drivesdk

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