Ethics and acceptance of smart homes for older adults

P Pirzada, A Wilde, GH Doherty… - Informatics for Health …, 2022 - Taylor & Francis
Societal challenges associated with caring for the physical and mental health of older adults
worldwide have grown at an unprecedented pace, increasing demand for health-care …

User adoption of intelligent environments: A review of technology adoption models, challenges, and prospects

S FakhrHosseini, K Chan, C Lee, M Jeon… - … Journal of Human …, 2024 - Taylor & Francis
Recent technological advancements have enabled the development of smarter (more
automated) and more intelligent (adaptable) environments. To understand what factors lead …

Defining user experience goals to guide the design of industrial systems

E Kaasinen, V Roto, J Hakulinen… - Behaviour & …, 2015 - Taylor & Francis
The key prerequisite for experience-driven design is to define what experience to design for.
User experience (UX) goals concretise the intended experience. Based on our own case …

On-line learning of indoor temperature forecasting models towards energy efficiency

F Zamora-Martinez, P Romeu, P Botella-Rocamora… - Energy and …, 2014 - Elsevier
The SMLsystem is a house built at the Universidad CEU Cardenal Herrera (CEU-UCH) to
participate in the Solar Decathlon 2012 competition. Several technologies have been …

Exploring end user programming needs in home automation

J Brich, M Walch, M Rietzler, M Weber… - ACM Transactions on …, 2017 - dl.acm.org
Home automation faces the challenge of providing ubiquitous, unobtrusive services while
empowering users with approachable configuration interfaces. These interfaces need to …

A challenge-based learning experience in industrial engineering in the framework of education 4.0

Y Gutiérrez-Martínez, R Bustamante-Bello… - Sustainability, 2021 - mdpi.com
Current tendencies of product, project and services development focus on a higher
consideration of the User Experience (UX). Therefore, traditional training and teaching …

Exploring the computational cost of machine learning at the edge for human-centric Internet of Things

O Gómez-Carmona, D Casado-Mansilla… - Future Generation …, 2020 - Elsevier
In response to users' demand for privacy, trust and control over their data, executing
machine learning tasks at the edge of the system has the potential to make the Internet of …

A novel hybrid model based on particle swarm optimisation and extreme learning machine for short-term temperature prediction using ambient sensors

S Kumar, SK Pal, R Singh - Sustainable Cities and Society, 2019 - Elsevier
In modern buildings which are becoming smart day by day, indoor temperature can be
forecasted with the data obtained from outfitted sensors. Predictive models based on data …

Human-centred performance criteria for adaptive façade design: Based on the results of a user experience survey

M Koyaz, A Ünlü - Building and Environment, 2022 - Elsevier
Indoor environmental conditions have significant effects on the user, in terms of comfort,
satisfaction, and well-being. Even though the façade is one of the main systems that shape …

eFRIEND: an ethical framework for intelligent environment development

S Jones, S Hara, J Augusto - … of the 7th International Conference on …, 2014 - dl.acm.org
Intelligent Environments bring technology closer to daily life and aim to provide context-
sensitive services to humans in the physical spaces in which they work and live. Some …