A5042140998- Ethics and Social Impacts of AI
- Innovative Human-Technology Interaction
- Design Education and Practice
- Virtual Reality Applications and Impacts
- Data Visualization and Analytics
- Explainable Artificial Intelligence (XAI)
- Hate Speech and Cyberbullying Detection
- Misinformation and Its Impacts
- Aesthetic Perception and Analysis
- Reinforcement Learning in Robotics
- Embodied and Extended Cognition
- Action Observation and Synchronization
- Color perception and design
- Youth Development and Social Support
- Visual and Cognitive Learning Processes
- Career Development and Diversity
- Artificial Intelligence in Games
- Neuroethics, Human Enhancement, Biomedical Innovations
- Human-Automation Interaction and Safety
- Computer Graphics and Visualization Techniques
- Big Data and Business Intelligence
- Scientific Computing and Data Management
- Creativity in Education and Neuroscience
- Gender and Technology in Education
Towson University
2024-2025
University of North Carolina at Charlotte
2020-2023
Human-AI co-creativity involves both humans and AI collaborating on a shared creative product as partners. In collaboration, interaction dynamics, such turn-taking, contribution type, communication, are the driving forces of co-creative process. Therefore model is critical essential component for effective systems. There relatively little research about design in field, which reflected lack focus many existing The primary has been abilities AI. This article focuses importance systems with...
The creative sketching partner (CSP) is a proof of concept intelligent interface to inspire designers while in response specified design task. With this interactive system we are studying the effect an AI model visual and conceptual similarity for selecting Al's sketch as inspiration current state user's sketch. Specifically, interested behavior when engaged By developing deep learning models sketches from large-scale dataset, user can control amount requesting CSP. We conducted study with...
In a human-AI co-creation, AI not only categorizes, evaluates and interprets data but also generates new content interacts with humans. As co-creative is form of intelligent technology that directly involves humans, it critical to anticipate address ethical issues during all design stages. The open-ended nature interactions in co-creation poses many challenges for designing systems. Researchers have been exploring associated autonomous recent years, ethics co-creativity relatively research...
Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In collaboration, communication is an essential component among collaborators. many existing co-creative systems, users can communicate with the AI, usually using buttons or sliders. Typically, in systems cannot back to humans, limiting their potential be perceived partners rather than just tool. This paper presents study 38 participants explore impact of two interaction designs, without...
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:...
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...
How AI communicates with humans is crucial for effective human-AI co-creation. However, many existing co-creative tools cannot communicate effectively, limiting their potential as collaborators. This paper introduces our initial design of a Framework designing Communication (FAICO) based on systematic review 107 full-length papers. FAICO presents key aspects communication and impacts user experience to guide the communication. We then show actionable ways translate framework into two...
Despite rapidly growing interest in Computer Science (CS), CS has the second lowest participation rate for women of all science and engineering degrees, according to a recent report by US National Board [16]. The reasons women's underrepresentation their experiences may differ from university university. Universities are very different terms types students, student profiles, students' socio-economic status, race, number admission requirements, resources. For example, some universities can...
Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In many existing co-creative systems, users communicate with the using buttons or sliders. However, typically, in systems cannot back to humans, limiting their potential be perceived This paper starts an overview of comparative study 38 participants explore impact AI-to-human communication user perception engagement results show improved collaborative experience system incorporating...
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).