Traditional usability testing methods often lack the ability to fully capture different aspects of the user experience (UX). The focus of this research work is to propose a framework and develop its comprehensive prototype to improve usability testing and UX analysis by integrating session recording, interaction logging, and emotion recognition methods. A trained emotion recognition model based on MobileNetV2 architecture in conjunction with Hotjar and Google Analytics is proposed to add more context to the user experience during usability testing. The results obtained during the testing of a developed framework prototype showed that UI testing based on UX principles and integration of emotion recognition can be a powerful tool for improving the UI of web applications. It is recommended to improve UI testing processes by incorporating these aspects and data analysis methods. This would provide a more complete and more objective picture of the usability of the interface.

Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys), which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal‐based station to be monitored with limited transition speed by setting different tasks for the agent‐based buoy system according to the clustering information.

This paper presents a prototype of a disinfection system for public transport specifically aiming to disinfect surfaces contaminated with the SARS-CoV-2 virus on buses using 222 nm wavelength far-ultraviolet light (far-UVC). Our study involved testing the developed technical system installed in a 12 m long M3 category urban bus, an investigation of optimal far-UVC light angles, and the determination of disinfection parameters for bus seat disinfection. The study identified the ideal positioning of a light source for effective disinfection and analyzed three disinfection scenarios, considering zone coverage, disinfection time, and energy demand. A subsystem employing real-time occupancy monitoring enhances the disinfection process in crowded areas of buses. An energy efficiency assessment model is proposed for optimizing energy consumption. Furthermore, the energy consumption analyses in different disinfection scenarios provide valuable insights for optimizing energy usage in public transport disinfection.

The use of 222 nm far-UVC radiation can be an effective means of disinfecting public buses against viruses, including SARS-CoV-2. However, it can cause degradation of the mechanical and visual properties of interior materials. The purpose of this study is to investigate the effects of 222 nm far-UVC radiation on the color and mechanical degradation of materials used to construct public bus interiors. This research work involves exposure of samples of materials commonly used in bus interiors to various levels of far-UVC radiation and measuring and evaluating changes in color and mechanical properties. The results of the study showed that far-UVC irradiation causes significant color degradation (∆E00 >5) in all the polymeric materials tested, after 290 J/cm² radiant exposure. In addition, significant changes in mechanical properties were observed when evaluating elasticity modulus, elongation at ultimate strength, elongation at break, and tensile strength. A particularly large decrease in elongation at break (up to 26%) was observed in fiber-reinforced composite materials. The results of this study can be used as a guide for the development of protocols for the use of far-UVC disinfection in public transportation, which can help limit the transmission of infections while preserving the integrity and visual properties of bus interior materials.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has emerged as a serious threat to human health worldwide. The effective disinfection of surfaces contaminated with SARS-CoV-2 may help prevent its spread. The aim of this study is to determine the duration required for viral RNA elimination by 222 nm far ultraviolet light using RT-qPCR as a tool. This study investigated the effect of 222 nm UVC irradiation on SARS-CoV-2 RNA in an in vitro experiment. The results showed that the copy number of SARS-CoV-2 RNA did not change even after 300 s of 222 nm UVC irradiation at 0.1 mW/cm², but extending the exposure to more than 600 s reduced the number of copies of SARS-CoV-2 virus significantly. However, to fully validate the results and enhance the robustness of the findings, it is crucial to increase the number of samples analyzed in future experiments.