20.500.12556/RUL-141156 Wireless ranging for contactless cognitive load inference in ubiquitous computing Untimely interaction in critical moments, content that does not capture a user’s attention, and missed opportunities for delivering relevant information are just some of the issues caused by ubiquitous computing devices’ inability to understand their users cognitive engagement. However, current means of inferring cognitive load are, with a few exceptions, based on intrusive methods requiring physical contact of the measurement equipment and the user, thus of limited applicability in ubiquitous computing. In this paper we propose Wi-Mind, a system for remote cognitive load assessment through wireless sensing. Wi-Mind is based on a software-defined radio radar that measures sub-millimeter movements related to a person’s breathing and heart beats, which, in turn allows us to infer the person’s cognitive load. We built and tested the system with 23 volunteers engaged in different tasks. Initial results show that while Wi-Mind manages to detect whether one is engaged in a cognitively demanding task, the inference of the exact cognitive load level remains challenging. cognitive load software-defined radio machine learning kognitivna obremenjenost programski radio strojno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2022-09-23 15:03:53 2022-09-23 15:03:54 2022-09-27 03:10:08 0000-00-00 00:00:00 2021 0 0 Str. 1849-1873 no. 19 Vol. 37 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004 1044-7318 10.1080/10447318.2021.1913860 62110979 Wireless_Ranging_for_Contactless_Cognitive_Load_Inference_in_Ubiquitous_Computing.pdf Wireless_Ranging_for_Contactless_Cognitive_Load_Inference_in_Ubiquitous_Computing.pdf 1 C0E0CE978F67131936AA834F26D93B22 1c12a615dc012844d663c3d0212f752e0c6c64eacc44d3a12b5ef1b0c2931847 86843441-3b40-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=162084 https://www.tandfonline.com/doi/full/10.1080/10447318.2021.1913860 1 2f216384-3b40-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=162083 Fakulteta za računalništvo in informatiko 0 0 0