CareerPlan

Master Thesis: Reducing AI Fatigue in Developer-AI Review Interaction

Karlskrona,Blekinge,SwedenFull-time2026-11-10 → 2026-11-11
Based in Sweden

Core

Investigate causes of 'AI-fatigue' and design lower-friction interactions for developer-AI collaboration during requirements, design, code, and test reviews.

Role type

Master Thesis Researcher (Human-AI Interaction)

Builds

A fatigue model, interaction guidelines, and a working prototype.

Domain

Software Engineering / Human-Computer Interaction

Deliverable

research

Required skills

Knowledge in AI, Computer Science, Human-Computer Interaction, UX methods, programming

Preferred skills

Experience running user studies

Technologies

None stated

Responsibilities

Characterize and measure AI fatigue, find friction points across lifecycle reviews, prototype lighter interaction techniques, run a user study comparing new design against baseline

Seniority

Master Thesis Candidate