Abstract
Assessing cognitive load is one technique used in HCI research to assess user interface usability. Individual cognitive load often varies depending on the user interface design, data complexity, and type of decision making. Cognitive load can be measured using the NASA-Task Load Index. Being a first responder (FR) requires strenuous physical exertion in addition to coping with environmental hazards. This occupation is physically, mentally, and emotionally demanding. This study aims to measure the user’s cognitive load when using three different visualization monitoring first responders’ heart rate and heat index data using IoT technologies. Our goal is to identify an optimal visualization.
Recommended Citation
Fruhling, Ann and Reisher, Elizabeth, "ASSESSING DECISION MAKERS’ COGNITIVE LOAD FOR A FIRST RESPONDER HEALTH MONITORING SYSTEM" (2022). SAIS 2022 Proceedings. 30.
https://aisel.aisnet.org/sais2022/30
Abstract Only