A systematic literature review on the main factors for public acceptance of drones

Sabino, Hullysses; Almeida, Rodrigo V.S.; Moraes, Lucas Baptista de; Silva, Walber Paschoal da; Guerra, Raphael; Malcher, Carlos; Passos, Diego; Passos, Fernanda G. O.

doi:10.1016/j.techsoc.2022.102097

Cited by 39 publications

(13 citation statements)

References 29 publications

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“…Knowledge and interest in modern technology were the most decisive predicting factors regarding the general attitude toward drones and approval for different use cases. This aligns with existing research indicating that people with higher knowledge about drones are more positive about them [13,15,53,54]. Knowledge is more relevant for attitude and approval for private and commercial use cases.…”

Section: Feature Importance Plotssupporting

confidence: 89%

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Harmonized Skies: A Survey on Drone Acceptance across Europe

Stolz,

Papenfuß,

Dunkel

et al. 2024

Drones

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This study investigated the public acceptance of drones in six European countries. For this purpose, an online questionnaire was created, which was completed by 2998 participants. The general attitude towards drones, concerns, approval for different use cases, minimum tolerable flight altitude, acceptable flight areas, and the impact of personal and demographic attributes on drone acceptance were analyzed. Overall, attitudes towards drones were quite positive in the entire sample and even improved slightly in a second measurement at the end of the questionnaire. However, the results also show that acceptance strongly depends on the use case. Drones for civil and public applications are more widely accepted than those for private and commercial applications. Moreover, the population still has high concerns about privacy and safety. Knowledge about drones, interest in technologies, and age proved essential to predicting acceptance. Thus, tailored communication strategies, for example, through social media, can enhance public awareness and acceptance.

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Section: Feature Importance Plotssupporting

confidence: 89%

“…A random forest model was created for this purpose. The model incorporates several factors identified as relevant in previous research [8,10,11,13,21,29,32]. These include gender, age, income, residence, knowledge about drones, interest in modern technologies, and drone experience.…”

Section: Rq1b: Does the Public Acceptance Of Drones Vary Throughout D...mentioning

confidence: 99%

Harmonized Skies: A Survey on Drone Acceptance across Europe

Stolz,

Papenfuß,

Dunkel

et al. 2024

Drones

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“…This also chimes with the considerable number of participants who see the responsibility for public security by themselves rather than security actors. The lower acceptance of drones, in contrast, may be linked to their ability to cover large areas and thus the potential to be deployed as mobile units on a broad geographical scope and with little control by citizens [10]. Tan and colleagues, for instance, demonstrate the general impact of fears and privacy concerns for lowering acceptance [11], while Sakiymaya and colleagues found direct indications that the deployment location plays a crucial role with higher acceptance for rural contexts compared to urban contexts [6].…”

Section: [No Comment] 14mentioning

confidence: 99%

Securing the Smart City: Patterns of Public Acceptance for Integrated Technological Solutions

Bayerl,

Bates,

Akhgar

2023

2023 IEEE International Smart Cities Conference (ISC2)

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Security solutions for smart cities are a contested topic, particularly with the increasing deployment of advanced technologies such as AI. However, current discussions often focus on specific solutions such as live facial recognition in public spaces, yielding mixed results for citizen acceptance. In this paper we offer a systematic investigation of citizen acceptance by comparing disparate types of security solutions and disparate deployment situations for these solutions. This investigation offers explanations for the often seemingly disjointed patterns of citizen acceptance. It further evidences the expected safeguards and the actors, citizens deem (most) responsible for securing public spaces. Our study is relevant to organizations tasked with planning and developing security solutions in smart cities, particularly to inform proactive engagements with citizens about smart city security solutions.

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“…The COVID-19 pandemic intensified the demand for new logistic solutions, such as fast and contactless delivery strategies [ 2 ]. It is also important to understand the attitude of the civilian population and public opinion on the use of drones [ 3 ]. In this vein, delivering medications with drones is the most identified application in health care [ 1 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Identifying Factors of User Acceptance of a Drone-Based Medication Delivery: User-Centered Design Approach

Fink,

Kalter,

Steindorff

et al. 2024

JMIR Hum Factors

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Background The use of drones in the health care sector is increasingly being discussed against the background of the aging population and the growing shortage of skilled workers. In particular, the use of drones to provide medication in rural areas could bring advantages for the care of people with and without a need for care. However, there are hardly any data available that focus on the interaction between humans and drones. Objective This study aims to disclose and analyze factors associated with user acceptance of drone-based medication delivery to derive practice-relevant guidance points for participatory technology development (for apps and drones). Methods A controlled mixed methods study was conducted that supports the technical development process of an app design for drone-assisted drug delivery based on a participatory research design. For the quantitative analysis, established and standardized survey instruments to capture technology acceptance, such as the System Usability Scale; Technology Usage Inventory (TUI); and the Motivation, Engagement, and Thriving in User Experience model, were used. To avoid possible biasing effects from a continuous user development (eg, response shifts and learning effects), an ad hoc group was formed at each of the 3 iterative development steps and was subsequently compared with the consisting core group, which went through all 3 iterations. Results The study found a positive correlation between the usability of a pharmacy drone app and participants’ willingness to use it (r=0.833). Participants’ perception of usefulness positively influenced their willingness to use the app (r=0.487; TUI). Skepticism had a negative impact on perceived usability and willingness to use it (r=−0.542; System Usability Scale and r=−0.446; TUI). The study found that usefulness, skepticism, and curiosity explained most of the intention to use the app (F3,17=21.12; P<.001; R2=0.788; adjusted R2=0.751). The core group showed higher ratings on the intention to use the pharmacy drone app than the ad hoc groups. Results of the 2-tailed t tests showed a higher rating on usability for the third iteration of the core group compared with the first iteration. Conclusions With the help of the participatory design, important aspects of acceptance could be revealed by the people involved in relation to drone-assisted drug delivery. For example, the length of time spent using the technology is an important factor for the intention to use the app. Technology-specific factors such as user-friendliness or curiosity are directly related to the use acceptance of the drone app. Results of this study showed that the more participants perceived their own competence in handling the app, the more they were willing to use the technology and the more they rated the app as usable.

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A systematic literature review on the main factors for public acceptance of drones

Cited by 39 publications

References 29 publications

Harmonized Skies: A Survey on Drone Acceptance across Europe

Harmonized Skies: A Survey on Drone Acceptance across Europe

Securing the Smart City: Patterns of Public Acceptance for Integrated Technological Solutions

Identifying Factors of User Acceptance of a Drone-Based Medication Delivery: User-Centered Design Approach

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