During the COVID-19 pandemic, changes to telehealth laws and policies enabled more patients to meet with their healthcare providers remotely. The rapid implementation of telehealth has resulted in providers and patients interacting remotely with few existing standards or guidelines. Additionally, a cursory search of telehealth guidelines for patients revealed overly broad recommendations related to technology, security, and environmental requirements. Although researchers have recommended some human factors considerations for guidelines, these recommendations were rarely implemented in the guidelines we reviewed. Therefore, human factors professionals can contribute further by implementing best practices for telehealth appointments to create evidence-based standardized guidelines. Some initial areas to focus on include accessibility for patients, overcoming typical telehealth barriers, and addressing a wider diversity of patients.
The goal of the present study was to examine how naturalistic interruptions (head turns) and cueing affect change detection within dynamic scenes. Based on the memory for goals (Altmann & Trafton, 2002) and visual memory theories (Hollingsworth & Henderson, 2001), participants monitoring videos were expected to detect fewer target changes when interrupted than without interruptions. Additionally, reliable cues that provided information about the target were expected to improve target detection compared to neutral cues (Logan, 1996; Posner, Snyder, & Davidson, 1980). Undergraduate students were assigned to one of two cueing conditions (reliable or neutral) and watched twenty videos. Ten of the videos were interrupted by having participants turn their heads to attend to a secondary display while an object changed in the video on the primary monitor. Eight videos (half with and without interruptions) had a single object that underwent a perceptual feature change in color, brightness, appearance, or disappearance. Overall, participants were very poor at detecting target changes. However, participants detected more object changes during uninterrupted versus interrupted trials. Providing a cue related to the object change did not improve detection performance. Overall, these results support other dynamic change detection findings that show the difficulty of detecting targets within dynamic environments even when provided reliable information.
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