Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
Deep learning for intelligent human–computer interaction
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
UX research on conversational human-AI interaction: A literature review of the ACM digital library
Early conversational agents (CAs) focused on dyadic human-AI interaction between humans
and the CAs, followed by the increasing popularity of polyadic human-AI interaction, in …
and the CAs, followed by the increasing popularity of polyadic human-AI interaction, in …
Investigation of emerging trends in the e-learning field using latent dirichlet allocation
E-learning studies are becoming very important today as they provide alternatives and
support to all types of teaching and learning programs. The effect of the COVID-19 pandemic …
support to all types of teaching and learning programs. The effect of the COVID-19 pandemic …
Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis
Abstract Education and Information Technologies (EAIT) has been a leading journal in
education & educational research since 1996. To celebrate its 25th anniversary and provide …
education & educational research since 1996. To celebrate its 25th anniversary and provide …
Digital transformation strategies, practices, and trends: a large-scale retrospective study based on machine learning
The purpose of this research is to identify the areas of interest, research topics, and
application areas that reflect the research nature of digital transformation (DT), as well as the …
application areas that reflect the research nature of digital transformation (DT), as well as the …
What drives the digital customer experience and customer loyalty in mobile short-form video shopping? Evidence from douyin (TikTok)
Q Yang, YC Lee - Sustainability, 2022 - mdpi.com
Mobile short-form video (MSFV) shopping represents an emerging method of mobile e-
commerce and indicates the future development trend of mobile e-commerce. Unlike other …
commerce and indicates the future development trend of mobile e-commerce. Unlike other …
Exploratory analysis of topic interests and their evolution in bioinformatics research using semantic text mining and probabilistic topic modeling
F Gurcan, NE Cagiltay - IEEE Access, 2022 - ieeexplore.ieee.org
Bioinformatics, which has developed rapidly in recent years with the collaborative
contributions of the fields of biology and informatics, provides a deeper perspective on the …
contributions of the fields of biology and informatics, provides a deeper perspective on the …
Modeling, replicating, and predicting human behavior: a survey
Given the popular presupposition of human reasoning as the standard for learning and
decision making, there have been significant efforts and a growing trend in research to …
decision making, there have been significant efforts and a growing trend in research to …