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Public Drone

Attitude Towards Drone Capabilities in Various Contexts

Venue

ACM International Conference on Mobile Human-Computer Interaction (MobileHCI 2021)

Authors

Viviane Herdel

Lee J. Yamin

Eyal Ginosar

Jessica R. Cauchard

Magic Lab, Department of Industrial Engineering and Management, Ben Gurion University of the Negev,

Be'er Sheva, Israel

Abstract

Drone technologies represent a new category of mobile devices that are increasingly present in public spaces. They are becoming increasingly autonomous, featuring a wide range of capabilities from detecting objects to monitoring situations. Yet, little is known about the characteristics that influence their acceptability in public spaces. In this work, we investigate how people's attitude towards drone capabilities is influenced by the context in which they are operating. We present three user studies: first, a participatory design study (N=5) in which we investigated people's expectations towards drone capabilities and contexts of use; second, a pre-study (N=18) performed to select 6 contexts of use for public drones with three different severity levels; and third, a survey-based study (N=26) where we evaluated people's attitude towards 10 drone capabilities in 6 contexts of varying severity levels. Our results demonstrate that people's attitude towards drone capabilities is more positive for severe contexts. In addition, we found positive correlations for all capabilities between attitude and perceived severity of context. This work contributes to the design of context-sensitive human-drone interactions and to the future integration of public drones.

Methodology

We present an exploratory Participatory Design (PD) study (N=5) on police drones, as an instance of public drones as to narrow the scope of this exploratory first step, and findings gained from it. We then describe a pre-study (N=18) performed to select six contexts (i.e., different situations) of use for public drones, with three different severity levels from a list based upon the PD study results. We then present an online survey (N=26) designed to explore people's attitude towards drone capabilities for each context.

Key Results

As the severity of context increases, people significantly become more favorable towards the proposed drone capabilities. In high severity contexts, we found that all drone capabilities are perceived favorably, even when they involve highly sensitive data collection and processing, such as recording with video storage and identifying faces. 

For additional findings, we invite you to read the full paper.

Contribution in a nutshell: 

  • Validated contexts of different severity levels

  • Results of a user study (N=26) demonstrating how people's attitude towards drone capabilities is shaped by the severity of context in which they are presented

  • Acceptable capabilities for public drones

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