Mobile near-infrared sensing—A systematic review on devices, data, modeling, and applications

W Jiang, J Goncalves, V Kostakos - ACM Computing Surveys, 2024 - dl.acm.org
Mobile near-infrared sensing is becoming an increasingly important method in many
research and industrial areas. To help consolidate progress in this area, we use the PRISMA …

[HTML][HTML] The methodology of studying fairness perceptions in Artificial Intelligence: Contrasting CHI and FAccT

N Van Berkel, Z Sarsenbayeva, J Goncalves - International Journal of …, 2023 - Elsevier
The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …

Robot-assisted decision-making: Unveiling the role of uncertainty visualisation and embodiment

S Schömbs, S Pareek, J Goncalves… - Proceedings of the 2024 …, 2024 - dl.acm.org
Robots are embodied agents that act under several sources of uncertainty. When assisting
humans in a collaborative task, robots need to communicate their uncertainty to help inform …

InfoPrint: Embedding interactive information in 3d prints using low-cost readily-available printers and materials

W Jiang, C Wang, Z Sarsenbayeva, A Irlitti… - Proceedings of the …, 2023 - dl.acm.org
We present a fully-printable method to embed interactive information inside 3D printed
objects. The information is invisible to the human eye and can be read using thermal …

Show Me What's Wrong: Impact of Explicit Alerts on Novice Supervisors of a Multi-Robot Monitoring System

MT Bahodi, N van Berkel, M Skov, T Merritt - Proceedings of the Second …, 2024 - dl.acm.org
With the rise of autonomous multi-robot systems, the role of the robot operator shifts from
controlling and observing a single robot to that of a supervisor overseeing multiple robots …

Near-infrared imaging for information embedding and extraction with layered structures

W Jiang, D Yu, C Wang, Z Sarsenbayeva… - ACM Transactions on …, 2022 - dl.acm.org
Non-invasive inspection and imaging techniques are used to acquire non-visible information
embedded in samples. Typical applications include medical imaging, defect evaluation, and …

Museum Visitor Experiences Based on Hyperspectral Image Data

M Löchtefeld, E Papachristos, H Deborah - IFIP Conference on Human …, 2023 - Springer
Hyper-and multispectral imaging allows to collect data from specific wavelength ranges or
across the electromagnetic spectrum, including frequencies that are imperceivable for …

Understanding Human-AI Trust in the Context of Decision Making through the Lenses of Academia and Industry: Definitions, Factors, and Evaluation

O Vereschak - 2022 - theses.hal.science
With the rise of AI-embedded systems assisting decisions in the context of medicine, justice,
recruiting, Human-AI trust has become an utmost design priority. Numerous governments …

InfoPrint: Embedding Information into 3D Printed Objects

W Jiang, C Wang, Z Sarsenbayeva, A Irlitti… - arxiv preprint arxiv …, 2021 - arxiv.org
We present a technique to embed information invisible to the eye inside 3D printed objects.
The information is integrated in the object model, and then fabricated using off-the-shelf dual …

BrainEx: Interactive Visual Exploration and Discovery of Sequence Similarity in Brain Signals

A Howell-Munson, C Micek, Z Li, M Clements… - Proceedings of the …, 2022 - dl.acm.org
Technology advances and lower equipment costs are enabling non-invasive, convenient
recording of brain data outside of clinical settings in more real-world environments, and by …