AI assistance for UX: A literature review through human-centered AI

Y Lu, Y Yang, Q Zhao, C Zhang, TJJ Li - ar**_Study/links/61eade85dafcdb25fd3fb889/Dynamic-Testing-Techniques-of-Non-Functional-Requirements-in-Mobile-Apps-A-Systematic-Map**-Study.pdf" data-clk="hl=iw&sa=T&oi=gga&ct=gga&cd=1&d=16556794398690817384&ei=r13CZ4PVLvqu6rQPscCUgAk" data-clk-atid="aLUksciMxeUJ" target="_blank">[PDF] researchgate.net

Dynamic testing techniques of non-functional requirements in mobile apps: A systematic map** study

MC Júnior, D Amalfitano, L Garcés… - ACM Computing …, 2022‏ - dl.acm.org
Context: The mobile app market is continually growing offering solutions to almost all
aspects of people's lives, eg, healthcare, business, entertainment, as well as the …

Predicting and explaining mobile ui tappability with vision modeling and saliency analysis

E Schoop, X Zhou, G Li, Z Chen, B Hartmann… - Proceedings of the 2022 …, 2022‏ - dl.acm.org
UI designers often correct false affordances and improve the discoverability of features when
users have trouble determining if elements are tappable. We contribute a novel system that …

Modeling mobile interface tappability using crowdsourcing and deep learning

A Swearngin, Y Li - Proceedings of the 2019 CHI Conference on Human …, 2019‏ - dl.acm.org
Tap** is an immensely important gesture in mobile touchscreen interfaces, yet people still
frequently are required to learn which elements are tappable through trial and error …

Guided bug crush: Assist manual gui testing of android apps via hint moves

Z Liu, C Chen, J Wang, Y Huang, J Hu… - Proceedings of the 2022 …, 2022‏ - dl.acm.org
Mobile apps are indispensable for people's daily life. Complementing with automated GUI
testing, manual testing is the last line of defence for app quality. However, the repeated …

Minexr: mining personalized extended reality interfaces

H Cho, Y Yan, K Todi, M Parent, M Smith… - Proceedings of the …, 2024‏ - dl.acm.org
Extended Reality (XR) interfaces offer engaging user experiences, but their effective design
requires a nuanced understanding of user behavior and preferences. This knowledge is …

KITE: Building conversational bots from mobile apps

TJJ Li, O Riva - Proceedings of the 16th Annual International …, 2018‏ - dl.acm.org
Task-oriented chatbots allow users to carry out tasks (eg, ordering a pizza) using natural
language conversation. The widely-used slot-filling approach for building bots of this type …

[HTML][HTML] Automotive UX design and data-driven development: Narrowing the gap to support practitioners

P Ebel, J Orlovska, S Hünemeyer, C Wickman… - Transportation Research …, 2021‏ - Elsevier
The development and evaluation of In-Vehicle Information Systems (IVISs) is strongly based
on insights from qualitative studies conducted in artificial contexts (eg, driving simulators or …

Semanticon: Specifying content-based semantic conditions for web automation programs

K Pu, R Fu, R Dong, X Wang, Y Chen… - Proceedings of the 35th …, 2022‏ - dl.acm.org
Data scientists, researchers, and clerks often create web automation programs to perform
repetitive yet essential tasks, such as data scra** and data entry. However, existing web …

CrowdUI: Supporting web design with the crowd

J Oppenlaender, T Tiropanis, S Hosio - … of the ACM on Human-Computer …, 2020‏ - dl.acm.org
Web design is a complex and challenging task. It involves making many design decisions
that materialise preconceived notions of user needs that may or may not be true. In this …