A5072718120- Data Visualization and Analytics
- Creativity in Education and Neuroscience
- Speech and Audio Processing
- Neuroscience and Music Perception
- Music and Audio Processing
- Music Technology and Sound Studies
- Explainable Artificial Intelligence (XAI)
- Digital Mental Health Interventions
- Ethics and Social Impacts of AI
- Aesthetic Perception and Analysis
- Music Therapy and Health
University of Utah
2022-2024
University of Virginia
2021
Music therapists provide critical, evidence-based care to a diverse range of clients. However, despite their active role in empowering individuals affected by disability, stigma, grief, and trauma, music remain understudied the HCI community. We present results mixed methods study 10 interviewees 20 survey respondents U.S., all whom are practicing therapists. Our show that engage technology-aided practices such as making personalized connections with clients, assisting identity formation,...
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...
Although explainable computational creativity seeks to create and sustain models of that foster a collaboratively creative process through explainability, there remains little no work in supporting designers when exploring the explanation medium. While artificial intelligence methods tend support textual, visual, numerical explanations, within arts, interaction mediums such as auditorial, tactile, olfactoral may offer more salient communication itself. Through this research, I propose...