Between Man and Machine is an explorative interaction design diploma. It investigates the possibilities of bioelectrical sensors as input modality to digital systems like computers and phones. The project’s outcome is three scenarios highlighting possible use cases of emotional and cognitive data inferred from bioelectrical sensors to digital systems. These scenarios aim to demonstrate applications of this technology and stimulate discussion about its future potential rather than providing polished and definitive answers to their respective uses. Inner landscape aims to visualize nuances in emotional and cognitive states. By transforming physiological data into motion, it offers an alternative approach to exploring your emotional well-being. This concept provides various visualization styles, ranging from low to high abstraction, allowing for personalized insights based on individual preferences. Map overlay visualizes how different environments affect your emotions on a map. As you move through various locations, the system maps your emotional states, highlighting areas where you felt positive and negative emotions. This approach helps you understand the emotional impact of your surroundings and make more informed choices about where to spend your time. Moments capture snapshots of highly positive emotions, creating a gallery of happy times. The system automatically takes photos by using physiological data to detect these emotional peaks, preserving spontaneous and genuine moments. The concept aims to celebrate small memories and highlight the happiest times of the day.