A systematic content review of artificial intelligence and the internet of things applications in smart home

S Sepasgozar, R Karimi, L Farahzadi, F Moezzi… - Applied Sciences, 2020 - mdpi.com
This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology
applied in homes for making them smart, automated, and digitalized in many respects. The …

Information dashboards and tailoring capabilities-a systematic literature review

A Vázquez-Ingelmo, FJ Garcia-Penalvo… - IEEE Access, 2019 - ieeexplore.ieee.org
The design and development of information dashboards are not trivial. Several factors must
be accounted; from the data to be displayed to the audience that will use the dashboard …

Avoiding the dark side of digital transformation in teaching. An institutional reference framework for eLearning in higher education

FJ García-Peñalvo - Sustainability, 2021 - mdpi.com
The purpose of this paper is to define a reference framework for introducing eLearning
practices in mainly face-to-face higher education institutions. We suggest a suitable …

Dashboard design patterns

B Bach, E Freeman, A Abdul-Rahman… - … on Visualization and …, 2022 - ieeexplore.ieee.org
This paper introduces design patterns for dashboards to inform dashboard design
processes. Despite a growing number of public examples, case studies, and general …

Composition and configuration patterns in multiple-view visualizations

X Chen, W Zeng, Y Lin, HM Ai-Maneea… - … on Visualization and …, 2020 - ieeexplore.ieee.org
Multiple-view visualization (MV) is a layout design technique often employed to help users
see a large number of data attributes and values in a single cohesive representation …

Moving towards engaged learning in STEM domains; there is no simple answer, but clearly a road ahead

T de Jong - Journal of computer assisted learning, 2019 - Wiley Online Library
What is the best approach to educating students is, evidently, the pivotal question in
educational research. In the general debate on this question, clear positions are often …

Dashbot: Insight-driven dashboard generation based on deep reinforcement learning

D Deng, A Wu, H Qu, Y Wu - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
Analytical dashboards are popular in business intelligence to facilitate insight discovery with
multiple charts. However, creating an effective dashboard is highly demanding, which …

Supporting policy-making with social media and e-participation platforms data: A policy analytics framework

A Simonofski, J Fink, C Burnay - Government Information Quarterly, 2021 - Elsevier
E-participation enables citizens to have an impact on policy-making through electronic
means. Two of the most popular channels are social media and dedicated e-participation …

Effect of information load and cognitive style on cognitive load of visualized dashboards for construction-related activities

J Ke, P Liao, J Li, X Luo - Automation in Construction, 2023 - Elsevier
A well-designed visualized dashboard could provide intuitive information to construction
project managers for effective decision-making. However, the impact of information load of …

MultiVision: Designing analytical dashboards with deep learning based recommendation

A Wu, Y Wang, M Zhou, X He, H Zhang… - … on Visualization and …, 2021 - ieeexplore.ieee.org
We contribute a deep-learning-based method that assists in designing analytical
dashboards for analyzing a data table. Given a data table, data workers usually need to …