A5049536928- Innovative Human-Technology Interaction
- Music Technology and Sound Studies
- Explainable Artificial Intelligence (XAI)
- Music and Audio Processing
- Online Learning and Analytics
- Generative Adversarial Networks and Image Synthesis
- Data Visualization and Analytics
- Teaching and Learning Programming
- Experimental Learning in Engineering
- Creativity in Education and Neuroscience
- Interactive and Immersive Displays
- Educational Games and Gamification
- Child Development and Digital Technology
- Neuroscience and Music Perception
- Flow Experience in Various Fields
- Distributed and Parallel Computing Systems
- Aesthetic Perception and Analysis
- Ethics and Social Impacts of AI
- Augmented Reality Applications
- Scientific Computing and Data Management
- Persona Design and Applications
- Computer Graphics and Visualization Techniques
Queen Mary University of London
2021-2024
University of the Arts London
2024
California Polytechnic State University
2015-2016
This first workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Design, AI, (XAI), Digital to explore role XAI Arts. is core concern Human-Centred relies heavily HCI techniques how complex difficult understand models such as deep learning can be made more understandable people. However, research has primarily focused work-oriented task-oriented explanations there been little domains will:...
Explainable AI has the potential to support more interactive and fluid co-creative systems which can creatively collaborate with people. To do this, creative models need be amenable debugging by offering eXplainable (XAI) features are inspectable, understandable, modifiable. However, currently there is very little XAI for arts. In this work, we demonstrate how a latent variable model music generation made explainable; specifically extend MeasureVAE generates measures of music. We increase...
When thinking of arts in HCI, one might be tempted to keep one's eyes focused on prominent realms such as sketching for UX Design and design probes from participants. A closer look shows that practices go beyond this, involving a variety arts-based expressions by researchers, the researched third parties, e.g. graphic facilitators. Inspired Toselli's Sketchnote Army Travelling Sketchbook, researchers artists contributed 'Travelling Sketchbook Arts HCI', showcasing their practice HCI. The...
Re ection is fundamental to creative practice.However, the plurality of ways in which people re ect when using AI Generated Content (AIGC) underexplored.This paper takes AI-based music composition as a case study explore how artist-researcher composers ected integrating AIGC into their process.The tools explored range from Markov Chains for generation Variational Auto-Encoders modifying timbre.We used novel method where our would pause and back on screenshots composing after every hour, this...
This second workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Design, AI, (XAI), Digital to explore role XAI Arts. is core concern Human-Centred relies heavily HCI techniques how make complex difficult understand models more understandable people. Our first explored landscape XAIxArts identified emergent themes. To move discourse forward contribute broadly this will: i) bring expand...
Reflection is underexplored in Creativity Support Tool (CST) research, partly due to its ambiguous nature. We suggest that researchers could benefit from a measure of CST's capacity support reflection. To this end, we detail the first stages development Creative Experience Questionnaire (RiCE) – lightweight questionnaire for differentiating between creative user experiences which exhibit more or less moments develop RiCE through i) an expert review items (n=10) and ii) exploratory factor...
Deep learning generative AI models trained on huge datasets are capable of producing complex and high quality music. However, there few studies how Generated Content (AIGC) is actually used or appropriated in creative practice. We present two first-person accounts by musician-researchers explorations an interactive system Irish Folk The intentionally musicians from incongruous genres Punk Glitch to explore questions the model into practice it changes when outside its intended genre....
Abstract Analyzing Student Coding Practices using Fine-grained Edits Clinton A Staley, Cal Poly State UniversityAbstractImportant information regarding the learning experience ofintroductory Computer Science students can be obtained by analyzingtheir coding activity at a fine-grained level, an online IDE thatrecords student code editing, compiling, and testing activities down tothe individual keystroke.In this paper, we report results from analyses of codingpatterns such IDE. In particular,...
This first international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, (XAI), and digital arts to explore role XAI Arts. Workshop held at 15th ACM Conference Creativity Cognition (C&C 2023).
Identifying points of engagement from a person's interaction with computers could be used to assess their experience and adapt user interfaces in real-time. However, it is difficult identify unobtrusively; HCI studies typically use retrospective protocols or rely on cumbersome sensors for real-time analysis. We present case study how children compose digital music at home which we remotely patterns musical interface. A mixed-methods approach contributed video recordings children's...
Important information regarding the learning experience and relative preparedness of Computer Science students can be obtained by analyzing their coding activity at a fine-grained level, using an online IDE that records student code editing, compiling, testing activities down to individual keystroke. We report results from analyses patterns such IDE. In particular, we gather data group performing assigned programming lab, indicated statistics. extract high-level statistics data, apply...
Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papertâs LOGO philosophy support childrenâs learning through play. This paper presents case study examining which interactions with Codetta, LOGO-inspired, block-based platform, supports creativity in composition. Interaction logs were collected 20 children and correlated against socially-validated scores....