Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda
Purpose The aim of this article is to map the use of AI in the user experience (UX) design
process. Disrupting the UX process by introducing novel digital tools such as artificial …
process. Disrupting the UX process by introducing novel digital tools such as artificial …
A survey on deep learning for software engineering
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
Screen recognition: Creating accessibility metadata for mobile applications from pixels
X Zhang, L De Greef, A Swearngin, S White… - Proceedings of the …, 2021 - dl.acm.org
Many accessibility features available on mobile platforms require applications (apps) to
provide complete and accurate metadata describing user interface (UI) components …
provide complete and accurate metadata describing user interface (UI) components …
Object detection for graphical user interface: Old fashioned or deep learning or a combination?
Detecting Graphical User Interface (GUI) elements in GUI images is a domain-specific object
detection task. It supports many software engineering tasks, such as GUI animation and …
detection task. It supports many software engineering tasks, such as GUI animation and …
A systematic literature review on the use of deep learning in software engineering research
An increasingly popular set of techniques adopted by software engineering (SE)
researchers to automate development tasks are those rooted in the concept of Deep …
researchers to automate development tasks are those rooted in the concept of Deep …
Humanoid: A deep learning-based approach to automated black-box android app testing
Automated input generators must constantly choose which UI element to interact with and
how to interact with it, in order to achieve high coverage with a limited time budget …
how to interact with it, in order to achieve high coverage with a limited time budget …
Unblind your apps: Predicting natural-language labels for mobile gui components by deep learning
According to the World Health Organization (WHO), it is estimated that approximately 1.3
billion people live with some forms of vision impairment globally, of whom 36 million are …
billion people live with some forms of vision impairment globally, of whom 36 million are …
CrystalBLEU: precisely and efficiently measuring the similarity of code
Recent years have brought a surge of work on predicting pieces of source code, eg, for code
completion, code migration, program repair, or translating natural language into code. All …
completion, code migration, program repair, or translating natural language into code. All …
Chatting with gpt-3 for zero-shot human-like mobile automated gui testing
Mobile apps are indispensable for people's daily life, and automated GUI (Graphical User
Interface) testing is widely used for app quality assurance. There is a growing interest in …
Interface) testing is widely used for app quality assurance. There is a growing interest in …
Bridging the Gap between UX Practitioners' work practices and AI-enabled design support tools
User interface (UI) and user experience (UX) design have become an indispensable part of
today's tech industry. Recently, much progress has been made in machine-learning-enabled …
today's tech industry. Recently, much progress has been made in machine-learning-enabled …