Profile
I research adaptive information systems at the intersection of NeuroIS, biosignals, and digital well-being. My work explores how physiological data such as EEG, EDA, and ECG can be used to design systems that support user performance and well-being in knowledge work.
Alongside academic research, I produce music in my own studio and work with media arts—creative practices that shape my perspective on interaction, perception, and experience design.
Experience & Education
Student Assistant — Institute of Information Systems and Marketing (KIT)
M.Sc. Industrial Engineering and Management (KIT)
Thesis: From Brainwaves to Bank Accounts: First Steps Towards Wearable EEG Systems for Economic Decision Support
B.Sc. Industrial Engineering and Management (KIT)
Thesis: The Influence of Background Music Tempo and Time Pressure on Impulse Buying Behavior
Erasmus+ — Sapienza Università di Roma
Research Focus
Topics
- Adaptive systems
- NeuroIS & biosignals (EEG, EDA, ECG)
- Brain-computer interfaces
- Flow states at work
- Future of work & digital well-being
- Music creation and use for work
Teaching
- Platform Economy
- Positive Information Systems
- Platform and Market Engineering
- Bio-signals in Information Systems and Marketing
Selected Publications
- Exploring flow in real-world knowledge work using discrete cEEGrid sensors (CHI 2025)
- Towards EEG-Based Decision Support Systems: Externalizing Neural Information to Assist Economic Decisions (ECIS 2024)
- Single-Trial Economic Decision Classification with Passive BCIs: A Pilot Study (NeuroIS 2024)
- The Pulse Of Impulse Buying (ECIS 2022)
Contact
KIT Profile: im.win.kit.edu/team_3424.php
Google Scholar: Scholar Profile
LinkedIn: fabio-stano-869410135