PlayFutures: Imagining Civic Futures with AI and Puppets
April 01, 2024 Β· Declared Dead Β· π Technical Symposium on Computer Science Education
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Supratim Pait, Sumita Sharma, Ashley Frith, Michael Nitsche, Noura Howell
arXiv ID
2404.01527
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
Technical Symposium on Computer Science Education
Last Checked
5 months ago
Abstract
Children are the builders of the future and crucial to how the technologies around us develop. They are not voters but are participants in how the public spaces in a city are used. Through a workshop designed around kids of age 9-12, we investigate if novel technologies like artificial intelligence can be integrated in existing ways of play and performance to 1) re-imagine the future of civic spaces, 2) reflect on these novel technologies in the process and 3) build ways of civic engagement through play. We do this using a blend AI image generation and Puppet making to ultimately build future scenarios, perform debate and discussion around the futures and reflect on AI, its role and potential in their process. We present our findings of how AI helped envision these futures, aid performances, and report some initial reflections from children about the technology.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted