Aale Luusua
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Aale Luusua has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Alessandro Aurigi
Plymouth University, Plymouth, UK
2 shared publications - Johanna Ylipulli
School of Marketing and Communication, University of Vaasa, Vaasa, Finland
2 shared publications - Marcus Foth
Queensland University of Technology
2 shared publications - Eveliina Juntunen
VTT Technical Research Centre of Finland Ltd., Kaitoväylä 1, FI-90570 Oulu, Finland
1 shared publication - Henrika Pihlajaniemi
School of Architecture, University of Oulu, Oulu, Finland
1 shared publication
Latest Publications
- Open Access
- 7 August 2023
- Published by MDPI AG in Smart Cities
- Vol. 6 (4) , 1879-1900
Drivers’ Experiences and Informed Opinions of Presence Sensitive Lighting Point towards the Feasibility of Introducing Adaptive Lighting in Roadway Contexts
Applications of adaptive and intelligent lighting technologies such as presence sensitive lighting, potentially offer solutions for reducing the energy consumption of road lighting while maintaining user comfort and safety. However, little is known about road users’ experiences of such lighting. To address this gap, we conducted a real-world case study of a presence sensitive roadway lighting on a collector road in a housing area in southern Finland. New, controllable LED lighting with PIR (passive infrared) presence sensors was implemented along the road, and test scenarios were designed, programmed, and tested. The lighting was adapted both to motor vehicles using the road and to the measured traffic density along it. Drivers’ experiences and attitudes toward the lighting were collected in a three-phase evaluation with questionnaires from the community of about 1000 households using the road as part of their daily mobility. The results indicate that as an experience, presence sensitive lighting in a road environment was at least as positive as traditional, uncontrolled lighting. User experiences of presence sensitive lighting did not differ from the experiences of uncontrolled lighting regarding pleasantness, uniformity, glare, and road visibility. Most of the drivers (86%) did not notice any dynamic change in the lighting. When informed about the tested lighting strategies, most of the participants (72%) would prefer either one of the intelligent lighting modes to be the permanent lighting solution. The results of this exploratory, real-world study point towards the potential feasibility of this technology from a user experience perspective, as the experienced stability of the lighting was unaltered in the tested scenarios; importantly, it also highlights the need to study adaptive roadway lighting further, especially through confirmatory studies in controlled settings.
- 7 August 2023
- Published by MDPI AG in Smart Cities
- Vol. 6 (4) , 1879-1900
Open AccessDrivers’ Experiences and Informed Opinions of Presence Sensitive Lighting Point towards the Feasibility of Introducing Adaptive Lighting in Roadway Contexts
Applications of adaptive and intelligent lighting technologies such as presence sensitive lighting, potentially offer solutions for reducing the energy consumption of road lighting while maintaining user comfort and safety. However, little is known about road users’ experiences of such lighting. To address this gap, we conducted a real-world case study of a presence sensitive roadway lighting on a collector road in a housing area in southern Finland. New, controllable LED lighting with PIR (passive infrared) presence sensors was implemented along the road, and test scenarios were designed, programmed, and tested. The lighting was adapted both to motor vehicles using the road and to the measured traffic density along it. Drivers’ experiences and attitudes toward the lighting were collected in a three-phase evaluation with questionnaires from the community of about 1000 households using the road as part of their daily mobility. The results indicate that as an experience, presence sensitive lighting in a road environment was at least as positive as traditional, uncontrolled lighting. User experiences of presence sensitive lighting did not differ from the experiences of uncontrolled lighting regarding pleasantness, uniformity, glare, and road visibility. Most of the drivers (86%) did not notice any dynamic change in the lighting. When informed about the tested lighting strategies, most of the participants (72%) would prefer either one of the intelligent lighting modes to be the permanent lighting solution. The results of this exploratory, real-world study point towards the potential feasibility of this technology from a user experience perspective, as the experienced stability of the lighting was unaltered in the tested scenarios; importantly, it also highlights the need to study adaptive roadway lighting further, especially through confirmatory studies in controlled settings.
- Open Access
- 4 July 2023
- Published by Springer Nature in AI & SOCIETY
- Vol. 39 (5) , 2633
Correction: Urban AI: understanding the emerging role of artificial intelligence in smart cities
- 4 July 2023
- Published by Springer Nature in AI & SOCIETY
- Vol. 39 (5) , 2633
Open AccessCorrection: Urban AI: understanding the emerging role of artificial intelligence in smart cities
- 15 October 2022
- Published by Springer Nature in AI & SOCIETY
- Vol. 38 (3) , 1257-1259
Katherine Crawford: Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
- 15 October 2022
- Published by Springer Nature in AI & SOCIETY
- Vol. 38 (3) , 1257-1259
Katherine Crawford: Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
- 30 September 2022
- Published by Springer Nature in AI & SOCIETY
- Vol. 38 (3) , 1039-1044
Urban AI: understanding the emerging role of artificial intelligence in smart cities
- 30 September 2022
- Published by Springer Nature in AI & SOCIETY
- Vol. 38 (3) , 1039-1044
Urban AI: understanding the emerging role of artificial intelligence in smart cities