Master Thesis: Reducing AI Fatigue in Developer-AI Review Interaction
Ericsson ABSammanfattning
This Master Thesis opportunity at Ericsson focuses on investigating lower-friction human-AI interactions during lifecycle review activities. The project aims to understand and reduce AI fatigue experienced by developers when reviewing requirements, designs, code, and tests. Located in Karlskrona, Sweden, the role allows for exploration of various areas, including characterizing AI fatigue, identifying friction points, and prototyping interaction techniques. Candidates will have the chance to runDet här erbjuder vi
Opportunity to use skills and imagination to tackle complex problems.Collaborative environment with a diverse team of innovators.Encouragement of diverse and inclusive workplace culture.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-11-10
Beskrivning
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About this opportunity
AI assistans are increasingly part of how we review requirments, design, code and tests. But vetting and interacting with AI is tiring - the effort of prompting, checking and correcting can outweigh the benefits the AI provides.
At Ericsson, we want developer-AI collaboration that is genuinely, lower-friction across review activities, so engineers spend their attention where it matters rather than fighting the interaction itself. This thesis explores what causes "AI-fatigue" and how to design interactions that reduce it.
What you will do
This Master Thesis investigates lower-friction human-AI interaction across lifecycle review activities. The goal is to understand, measure and reduce the fatigue that comes from vetting and interacting with AI when reviewing requirements, designs, code and tests.
You will have the freedom to define areas of exploration within the project, These could include but are not limited to:
Characterizing and measuring AI fatigue - what is is, when it occurs and how to quantify it.
Finding friction points across lifecycle reviews
Prototyping lighter interaction techniques such as summaries, progressive disclosure and trust calibration.
Running a user study compairing the new design against a baseline
Producing a fatigue model, interaction guidelines and a working prototype
The skills you bring
Knowledge in AI, Computer Science, Human-Computer Interaction or a related field
Interest in UX methods and running user studies
Experience in at least one programming language
Eagerness to learn and explore new concepts.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Karlskrona
Req ID: 792730
About this opportunity
AI assistans are increasingly part of how we review requirments, design, code and tests. But vetting and interacting with AI is tiring - the effort of prompting, checking and correcting can outweigh the benefits the AI provides.
At Ericsson, we want developer-AI collaboration that is genuinely, lower-friction across review activities, so engineers spend their attention where it matters rather than fighting the interaction itself. This thesis explores what causes "AI-fatigue" and how to design interactions that reduce it.
What you will do
This Master Thesis investigates lower-friction human-AI interaction across lifecycle review activities. The goal is to understand, measure and reduce the fatigue that comes from vetting and interacting with AI when reviewing requirements, designs, code and tests.
You will have the freedom to define areas of exploration within the project, These could include but are not limited to:
Characterizing and measuring AI fatigue - what is is, when it occurs and how to quantify it.
Finding friction points across lifecycle reviews
Prototyping lighter interaction techniques such as summaries, progressive disclosure and trust calibration.
Running a user study compairing the new design against a baseline
Producing a fatigue model, interaction guidelines and a working prototype
The skills you bring
Knowledge in AI, Computer Science, Human-Computer Interaction or a related field
Interest in UX methods and running user studies
Experience in at least one programming language
Eagerness to learn and explore new concepts.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Karlskrona
Req ID: 792730
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Master Thesis: Reducing AI Fatigue in Developer-AI Review Interaction
OM FÖRETAGET
Ericsson AB
