Maham Riaz

Maham Riaz

Research fellow, Department of Musicology, University of Oslo

MishMash role: Member · WP1

Other projects

Latest results

Type

Book chapter

  5. Book chapter, 2023

    An Investigation of Supervised Learning in Music Mood Classification for Audio and MIDI

    Maham Riaz

Journal article

  1. Journal article, 2026

    Inverse and indirect mappings in embodied AI systems in everyday environments

    Maham Riaz ; Cagri Erdem ; Alexander Refsum Jensenius

    This paper explores how musicking technologies—interactive systems with musical properties—can enhance everyday public environments. We are particularly interested in investigating the effects of musical interactions in non-musical settings, such as offices, meeting rooms, and social work areas. Traditional music technologies (such as instruments) are built for goal-directed, conscious, and voluntary interactions. We propose a new perspective on embodied AI through systems that utilize indirect, inverse, unconscious, and, at times, involuntary interactions. Four different sound/music systems are examined and discussed with regard to their activity level: a reactive “birdbox,” a reactive painting, active self-playing guitars, and interactive music balls. All these systems are multimodal, containing sensors that detect various physical inputs to produce sound and light, and having varying levels of perceived agency. The paper explores differences between direct/indirect and regular/inverse embodied AI paradigms. This study demonstrates how minimalistic interactions have the potential to yield complex and engaging musicking experiences, challenging the norms of overly intricate AI implementations.

Exhibition

Conference

  1. Conference poster, 2025

    Where is That Bird? The Impact of Artificial Birdsong in Public Indoor Environments

    Maham Riaz

More results in NVA…