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Home ›› Psychology and Human Behavior

Psychology and Human Behavior

Trusting AI isn’t the goal — relying on it is. This article explores why human trust and AI reliance are worlds apart, and what UX designers should focus on to make AI feel dependable, not human.

Article by Verena Seibert-Giller
The Psychology of Trust in AI: Why “Relying on AI” Matters More than “Trusting It”
  • The article argues that “reliance,” not “trust,” is the right way to think about users’ relationship with AI.
  • It explains that human trust and AI reliance are driven by different psychological mechanisms.
  • The piece highlights that predictability, transparency, and control make users more willing to rely on AI.
  • It concludes that users don’t need to trust AI as a partner — only rely on it as a dependable tool.
Share:The Psychology of Trust in AI: Why “Relying on AI” Matters More than “Trusting It”
4 min read

Designing for AI goes beyond buttons and screens; it’s about building invisible connections of trust, understanding, and psychology between humans and technology.

Article by Anina Botha
Designing the Invisible between humans and technology: My Journey Blending Design and Behavioral Psychology
  • The article explores the shift from designing visible interfaces to shaping invisible psychological connections between humans and AI.
  • It emphasizes that trust, reliability, and understanding are more critical design challenges than traditional UI or UX elements.
  • The piece argues that AI design is less about predefined flows and more about building relationships grounded in psychology and human behavior.
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4 min read

Navigating the Creative Landscape.

Article by Adri Mukund
Unveiling the Influence of Cognitive Biases on Design Decision-Making
  • The article explores the influence of cognitive biases on design decision-making, outlining various types of biases and offering strategies for mitigating their impact to foster inclusivity and objectivity in design processes.
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6 min read

Repetitiveness, complicated setups, and lack of personalization deter users.

Article by Marlynn Wei
​6 Ways to Improve Psychological AI Apps and Chatbots
  • Personalized feedback, high-quality dynamic conversations, and a streamlined setup improve user engagement.
  • People dislike an overly scripted and repetitive AI chatbot that bottlenecks access to other features.
  • Tracking is a feature that engages users and develops an “observer mind,” enhancing awareness and change.
  • New research shows that users are less engaged in AI apps and chatbots that are repetitive, lack personalized advice, and have long or glitchy setup processes.
Share:​6 Ways to Improve Psychological AI Apps and Chatbots
3 min read

The opposite direction is the right one.

Article by Marcelo Brum
Behavioral Design: What Is It? And Why Should You Learn To Apply It?
  • The article introduces the concept of Behavioral Design, emphasizing the importance of understanding cognitive biases and delivering value to all parties involved in the user experience.
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4 min read

The insights on how leadership can make or break innovation and design projects.

Article by Rich Nadworny
The Leadership Leverage Points In A Design And Innovation System
  • According to the author, ,weaknesses in the design thinking process can often be traced back to leadership’s failure to support the project.
  • Leaders can maximize their impact on innovation and design by creating a compelling story, being clear about the consequences of not buying in, and implementing ongoing assessments to amplify successful practices.
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4 min read

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