A historical perspective of explainable Artificial Intelligence

R Confalonieri, L Coba, B Wagner… - … Reviews: Data Mining …, 2021 - Wiley Online Library
Abstract Explainability in Artificial Intelligence (AI) has been revived as a topic of active
research by the need of conveying safety and trust to users in the “how” and “why” of …

Explainable agents and robots: Results from a systematic literature review

S Anjomshoae, A Najjar, D Calvaresi… - … on Autonomous Agents …, 2019 - diva-portal.org
Humans are increasingly relying on complex systems that heavily adopts Artificial
Intelligence (AI) techniques. Such systems are employed in a growing number of domains …

The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education

RA Abumalloh, S Asadi, M Nilashi, B Minaei-Bidgoli… - Technology in …, 2021 - Elsevier
To avoid the spread of the COVID-19 crisis, many countries worldwide have temporarily shut
down their academic organizations. National and international closures affect over 91% of …

[HTML][HTML] Factors affecting cryptocurrency adoption in digital business transactions: The mediating role of customer satisfaction

X Chen, MH Miraz, MAI Gazi, MA Rahaman… - Technology in …, 2022 - Elsevier
This empirical study examines the factors influencing the adoption (AD) of cryptocurrencies
in Malaysia's digital market. It is assumed that the adoption of cryptocurrencies would …

A systematic review and taxonomy of explanations in decision support and recommender systems

I Nunes, D Jannach - User Modeling and User-Adapted Interaction, 2017 - Springer
With the recent advances in the field of artificial intelligence, an increasing number of
decision-making tasks are delegated to software systems. A key requirement for the success …

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques

M Nilashi, O Ibrahim, K Bagherifard - Expert Systems with Applications, 2018 - Elsevier
Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …

[HTML][HTML] Anthropomorphism and social presence in Human–Virtual service assistant interactions: The role of dialog length and attitudes

J Munnukka, K Talvitie-Lamberg, D Maity - Computers in Human Behavior, 2022 - Elsevier
In this study, we delve into the perceived quality of recommendations provided by AI-based
virtual service assistants (VSAs). Specifically, the role of the social presence of VSAs in …

Revealing travellers' satisfaction during COVID-19 outbreak: Moderating role of service quality

M Nilashi, RA Abumalloh, B Minaei-Bidgoli… - Journal of Retailing and …, 2022 - Elsevier
Abstract User-Generated-Content (UGC) has gained increasing attention as an important
indicator of business success in the tourism and hospitality sectors. Previous literature has …

Measuring the business value of recommender systems

D Jannach, M Jugovac - ACM Transactions on Management Information …, 2019 - dl.acm.org
Recommender Systems are nowadays successfully used by all major web sites—from e-
commerce to social media—to filter content and make suggestions in a personalized way …

Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran

A Chavoshi, H Hamidi - Telematics and Informatics, 2019 - Elsevier
The increasing usage of smartphones, the increasing acceptance of electronic learning (e-
learning), the improvement of the status of mobile networks and global internet as well as …