R.I.P.
π»
Ghosted
Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
May 05, 2024 Β· Declared Dead Β· π ANT/EDI40
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Abdallah Namoun, Ahmed Alrehaili, Zaib Un Nisa, Hani Almoamari, Ali Tufail
arXiv ID
2405.03716
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
13
Venue
ANT/EDI40
Last Checked
4 months ago
Abstract
This article proposes the so-called large user interface models (LUIMs) to enable the generation of user interfaces and prediction of usability using artificial intelligence in the context of mobile applications.
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
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