Overview of The Psychological Impact Of Algorithmically-Driven Feedback
This study aims to explore the psychological impacts of data- driven feedback loops. Specifically, it examines how wearables, social media, and mobile apps influence user behavior, motivation, well-being, and unintended psychological effects, both positive and negative.
The rapid spread of digital technologies has produced data- driven feedback loops, wearable devices, social media networks, and mobile applications that shape user behavior, motivation, and mental well-being. While these systems encourage self-improvement and the development of healthier habits through real-time feedback , they also create psychological risks such as technostress, addiction, and ...
Psychological Effects of AI Feedback Loops
The study investigates the psychological impacts of AI- driven feedback loops in digital technologies, highlighting both positive effects, such as motivation and improved well-being, and negative consequences, including technostress and loss of autonomy. Data collected from 200 users revealed that while feedback mechanisms can facilitate goal attainment, they also contribute to anxiety and ...

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The rapid spread of digital technologies has produced data- driven feedback loops, wearable devices, social media networks, and mobile applications that shape user behavior, motivation, and mental well-being. While these systems encourage self-improvement and the development of healthier habits through real-time feedback , they also create psychological risks such as technostress, addiction, and ...
The role of AI
Abstract This study investigates the motivational processes through which AI- driven feedback fosters a growth mindset, learner engagement, and persistence, framed by self-determination theory (SDT). A sample of 507 undergraduate students interacted with an AI tutoring system over six weeks, providing ratings on feedback quality, psychological need satisfaction, growth mindset endorsement ...
Abstract Introduction: Understanding how students engage with AI- driven feedback remains understudied in educational psychology. With ChatGPT's emergence as a generative artificial intelligence tool, automated design improvement feedback (ADIF) has expanded significantly.

Effects of different AI
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored.
Regression analyses showed that AI feedback was rated as less accurate and led to lower performance motivation, acceptance of the feedback provider, and intention to seek further feedback . These effects were mediated by perceived social distance.
Emotionally enriched AI
Glickman and Sharot reveal a human-AI feedback loop, where AI amplifies subtle human biases, which are then further internalized by humans. This cycle, observed across various domains, leads to ...