Battery life is a critical constraint in drone operations, directly impacting a flight’s success and operations. Drone operators need to interpret battery information when deciding on their mission’s subsequent steps. This decision-making involves maximizing mission completion while ensuring the drones can safely return to base. In this paper, we present a 2 \(\,\times \,\) 2 within-subject design, where we compare two mission displays and enabled notifications that appear when the estimated battery level at the base reaches 15% or 5%. The first display follows traditional interfaces, representing battery levels through icons and percentages. The other follows Ecological Interface Design (EID), where the battery level is conveyed as the remaining range on the mission path. We measured performance metrics, cognitive load, and mental workload for each condition. Our results indicate that the EID-based interface resulted in higher mission completion rates, while the notifications significantly reduced their perceived cognitive load and mental workload.

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Before It Falls: Supporting Drone Fleet Management Through Battery Visualizations

  • Maria-Theresa Bahodi,
  • Nathan Lau,
  • Niels van Berkel,
  • Kasper Andreas Rømer Grøntved,
  • Mikael B. Skov,
  • Timothy Merritt

摘要

Battery life is a critical constraint in drone operations, directly impacting a flight’s success and operations. Drone operators need to interpret battery information when deciding on their mission’s subsequent steps. This decision-making involves maximizing mission completion while ensuring the drones can safely return to base. In this paper, we present a 2 \(\,\times \,\) 2 within-subject design, where we compare two mission displays and enabled notifications that appear when the estimated battery level at the base reaches 15% or 5%. The first display follows traditional interfaces, representing battery levels through icons and percentages. The other follows Ecological Interface Design (EID), where the battery level is conveyed as the remaining range on the mission path. We measured performance metrics, cognitive load, and mental workload for each condition. Our results indicate that the EID-based interface resulted in higher mission completion rates, while the notifications significantly reduced their perceived cognitive load and mental workload.