Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach

• URL: http://arxiv.org/abs/2312.06707v1
• Date: Sun, 10 Dec 2023 15:53:37 GMT
• Title: Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach
• Authors: Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Gordon Hull, Shannon Reid, Hamed Tabkhi
• Abstract summary: This study presents a comprehensive analysis of the community's general public safety concerns, their view of existing surveillance technologies, and their perception of AI-driven solutions for enhancing safety in urban environments, focusing on Charlotte, NC. This research investigates demographic factors such as age, gender, ethnicity, and educational level to gain insights into public perception and concerns toward public safety and possible solutions.
• Score: 2.473948454680334
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Addressing public safety effectively requires incorporating diverse stakeholder perspectives, particularly those of the community, which are often underrepresented compared to other stakeholders. This study presents a comprehensive analysis of the community's general public safety concerns, their view of existing surveillance technologies, and their perception of AI-driven solutions for enhancing safety in urban environments, focusing on Charlotte, NC. Through a survey approach, including in-person surveys conducted in August and September 2023 with 410 participants, this research investigates demographic factors such as age, gender, ethnicity, and educational level to gain insights into public perception and concerns toward public safety and possible solutions. Based on the type of dependent variables, we utilized different statistical and significance analyses, such as logit regression and ordinal logistic regression, to explore the effects of demographic factors on the various dependent variables. Our results reveal demographic differences in public safety concerns. Younger females tend to feel less secure yet trust existing video surveillance systems, whereas older, educated individuals are more concerned about violent crimes in malls. Additionally, attitudes towards AI-driven surveillance differ: older Black individuals demonstrate support for it despite having concerns about data privacy, while educated females show a tendency towards skepticism.

Related papers

• Model Inversion Attacks: A Survey of Approaches and Countermeasures [59.986922963781]
  Recently, a new type of privacy attack, the model inversion attacks (MIAs), aims to extract sensitive features of private data for training. Despite the significance, there is a lack of systematic studies that provide a comprehensive overview and deeper insights into MIAs. This survey aims to summarize up-to-date MIA methods in both attacks and defenses.
  arXiv  Detail & Related papers  (2024-11-15T08:09:28Z)
• New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook [54.24701201956833]
  Security and privacy issues have undermined users' confidence in pre-trained models. Current literature lacks a clear taxonomy of emerging attacks and defenses for pre-trained models. This taxonomy categorizes attacks and defenses into No-Change, Input-Change, and Model-Change approaches.
  arXiv  Detail & Related papers  (2024-11-12T10:15:33Z)
• Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups [29.720095331989064]
  AI systems crucially rely on human ratings, but these ratings are often aggregated. This is particularly concerning when evaluating the safety of generative AI, where perceptions and associated harms can vary significantly across socio-cultural contexts. We conduct a large-scale study employing highly-parallel safety ratings of about 1000 text-to-image (T2I) generations from a demographically diverse rater pool of 630 raters.
  arXiv  Detail & Related papers  (2024-10-22T13:59:21Z)
• A Survey of Stance Detection on Social Media: New Directions and Perspectives [50.27382951812502]
  stance detection has emerged as a crucial subfield within affective computing. Recent years have seen a surge of research interest in developing effective stance detection methods. This paper provides a comprehensive survey of stance detection techniques on social media.
  arXiv  Detail & Related papers  (2024-09-24T03:06:25Z)
• Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives [48.48294460952039]
  This survey offers comprehensive descriptions of the privacy, security, and fairness issues in federated learning. We contend that there exists a trade-off between privacy and fairness and between security and sharing.
  arXiv  Detail & Related papers  (2024-06-16T10:31:45Z)
• Individual and Contextual Variables of Cyber Security Behaviour -- An empirical analysis of national culture, industry, organisation, and individual variables of (in)secure human behaviour [0.0]
  National culture, industry type, and organisational security culture play are influential variables of individuals' security behaviour. Security awareness, security knowledge, and prior experience with security incidents are found to be influential variables of security behaviour. Findings provide practical insights for organisations regarding the susceptibility of groups of people to insecure behaviour.
  arXiv  Detail & Related papers  (2024-05-25T12:57:17Z)
• SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors [31.18834611268347]
  We survey existing scholarship on sociodemographics and secure behavior. We then conduct a focused literature review of 47 papers to synthesize what is currently known and identify open questions for future research. By incorporating contemporary social and critical theories, we establish guidelines for future studies of sociodemographic factors and security behaviors. We present a case study to demonstrate our guidelines in action, at-scale, that conduct a measurement study of the relationships between sociodemographics and de-identified, aggregated log data of security and privacy behaviors among 16,829 users on Facebook across 16 countries.
  arXiv  Detail & Related papers  (2024-04-15T23:56:03Z)
• Older adults' safety and security online: A post-pandemic exploration of attitudes and behaviors [0.0]
  The behaviors and attitudes of a group of older adults aged 60 years and older regarding different dimensions of online safety and cybersecurity are investigated. Results show that older adults report a discernible degree of concern about the security of their personal information. Support systems should include older adults in the development of protective measures and acknowledge their diversity.
  arXiv  Detail & Related papers  (2024-03-14T09:22:16Z)
• The Impact of Privacy and Security Attitudes and Concerns of Travellers on Their Willingness to Use Mobility-as-a-Service Systems [2.532202013576547]
  This paper reports results from an online survey on the impact of travellers' privacy and security attitudes and concerns on their willingness to use MaaS systems. Neither attitudes nor concerns of participants over the privacy and security of personal data would significantly impact their decisions to use MaaS systems. Having been a victim of improper invasion of privacy did not appear to affect individuals' intentions to use MaaS systems.
  arXiv  Detail & Related papers  (2023-12-01T11:51:43Z)
• A Survey on Computer Vision based Human Analysis in the COVID-19 Era [58.79053747159797]
  The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced around the world to limit the transmission of the disease, including face masks, mandates for social distancing and regular disinfection in public spaces, and the use of screening applications. These developments triggered the need for novel and improved computer vision techniques capable of (i) providing support to the prevention measures through an automated analysis of visual data, on the one hand, and (ii) facilitating normal operation of existing vision-based services, such as biometric authentication
  arXiv  Detail & Related papers  (2022-11-07T17:20:39Z)
• Didn't see that coming: a survey on non-verbal social human behavior forecasting [47.99589136455976]
  Non-verbal social human behavior forecasting has increasingly attracted the interest of the research community in recent years. Its direct applications to human-robot interaction and socially-aware human motion generation make it a very attractive field. We define the behavior forecasting problem for multiple interactive agents in a generic way that aims at unifying the fields of social signals prediction and human motion forecasting.
  arXiv  Detail & Related papers  (2022-03-04T18:25:30Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.