Do emotions influence safe browsing? Toward an electroencephalography marker of affective responses to cybersecurity notifications.

Cybersecurity notifications play an important role in encouraging users to use computers safely. Emotional reactions to such notifications are known to positively influence users' adherence to these notifications, though it is challenging for researchers to identify and quantify users' emotional reactions. In this study, we explored electroencephalography (EEG) signals that were elicited by the presentation of various emotionally charged image stimuli provided by the International Affective Picture System (IAPS) and compared signals to those elicited by images of cybersecurity notifications and other computer-related stimuli.

How student perceptions about online learning difficulty influenced their satisfaction during Canada's Covid-19 response.

The COVID-19 pandemic has posed a significant challenge to higher education and forced academic institutions across the globe to abruptly shift to remote teaching. Because of the emergent transition, higher education institutions continuously face difficulties in creating satisfactory online learning experiences that adhere to the new norms. This study investigates the transition to online learning during Covid-19 to identify factors that influenced students' satisfaction with the online learning environment.

Measuring Mind Wandering During Online Lectures Assessed With EEG.

Mind wandering can inhibit learning in multimedia classrooms, such as when watching online lectures. One explanation for this effect is that periods of mind wandering cause learners' attention to be redirected from the learning material toward task-unrelated thoughts. The present study explored the relationship between mind wandering and online education using electroencephalography (EEG).

Evaluating Simplified Web Interfaces of Risk Models for Clinical Use: Pilot Survey Study.

Background: In this pilot study, we investigated sociotechnical factors that affect intention to use a simplified web model to support clinical decision making.

Objective: We investigated factors that are known to affect technology adoption using the unified theory of acceptance and use of technology (UTAUT2) model. The goal was to pilot and test a tool to better support complex clinical assessments.