Privacy concerns in assisted living technologies

Garg, Vaibhav; Camp, L. Jean; Lorenzen-Huber, Lesa; Shankar, K.; Connelly, Kay

doi:10.1007/s12243-013-0397-0

Cited by 19 publications

(11 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another aspect of the IoT requires particular attention and concerns the privacy of users. As the IoT is gaining momentum, the threats on users' privacy appear more clearly [13]. We have shown in [7] that QoC and privacy are closely related and must be addressed together in order to find a workable solution.…”

Section: Introductionmentioning

confidence: 99%

Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

et al. 2015

View full text Add to dashboard Cite

The Internet of Things (IoT) enables producers of context data like sensors to interact with remote consumers of context data like smart pervasive applications in an entirely decoupled way. However, two important issues are faced by context data distribution, namely providing context information with a sufficient level of quality-i.e. quality of context, QoC-while preserving the privacy of context owners. This article presents the solutions provided by the INCOME middleware framework for addressing these two potentially contradictory issues while hiding the complexity of context data distribution in heterogeneous and large-scale environments. Context producers and consumers not only express their needs in context contracts but also the guarantees they are ready to fulfil. These contracts are then translated into advertisement and subscription filters to determine how to distribute context data. Our experiments on a first open source prototype show that QoC-based filtering and privacy protection using attributed-based access control can be performed at a reasonable cost.

show abstract

Section: Introductionmentioning

confidence: 99%

Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Lee et al suggested to understand the perspective of both PVIs and bystanders to increase the social acceptance of wearable cameras [86]. Prior works have investigated social acceptability and privacy issues for assistive technologies from the perspective of their users [58,87,92,95,128]. Garg et al found that the adoption of assistive technologies by older adults depends on the perceived usefulness of the system [58].…”

Section: Social Acceptability Of Assistive Devicesmentioning

confidence: 99%

“…Prior works have investigated social acceptability and privacy issues for assistive technologies from the perspective of their users [58,87,92,95,128]. Garg et al found that the adoption of assistive technologies by older adults depends on the perceived usefulness of the system [58]. Shinohara and Wobbrock observed how participants avoided using assistive technologies because of the associated social stigma [119].…”

Section: Social Acceptability Of Assistive Devicesmentioning

confidence: 99%

Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive Technologies

Akter

Ahmed

Kapadia

et al. 2022

ACM Trans. Access. Comput.

View full text Add to dashboard Cite

Camera based assistive technologies can provide people with visual impairments (PVIs) visually derived information about people in their vicinity. Furthermore, the advent of smart glasses offers the possibility of not only analyzing visual information in front of the wearer, but also behind them through an extended field of view. Although such ‘visually available’ information can enhance one’s social interactions, the privacy and ethical implications for automated judgments about bystanders especially from the perspective of PVIs remains underexplored. To study the concerns of both bystanders and PVIs with such technologies, we conducted two online surveys with visually impaired participants as wearers (N=128) and sighted participants as bystanders (N=136). Although PVIs found some types of information to be improper or impolite (such as someone’s weight), our overarching finding is the shared ethical concern between PVIs and bystanders related to the fallibility of AI, where bystanders can be misrepresented (algorithmically) by the devices. These mischaracterizations can range from occasional, unexpected algorithmic errors (e.g., errors in facial recognition) to the questionable use of AI for determining subjective, social constructs (such as gender). Based on our findings, we discuss the design implications and directions for future work in the development of camera based assistive technologies while mitigating the ethical concerns of PVIs and bystanders.

show abstract

“…While there have been changes in technology since 2008, IUIPC has been widely used, providing a basis for comparisons. Until recently, the most widely used measure of privacy perceptions was the Westin model despite its proven flaws (Cranor et al , 2000; Garg et al , 2014; Butler et al , 2015). When limited to Westin, the lack of robust and consistent measures of privacy perceptions was problematic.…”

Section: Related Workmentioning

confidence: 99%

Factors in an end user security expertise instrument

Rajivan

Moriano

Kelley

et al. 2017

ICS

Self Cite

View full text Add to dashboard Cite

Purpose -The purpose of this study is to identify factors that determine computer and security expertise in end users. They can be significant determinants of human behaviour and interactions in the security and privacy context. Standardized, externally valid instruments for measuring end-user security expertise are non-existent.Design/methodology/approach -A questionnaire encompassing skills and knowledge-based questions was developed to identify critical factors that constitute expertise in end users. Exploratory factor analysis was applied on the results from 898 participants from a wide range of populations. Cluster analysis was applied to characterize the relationship between computer and security expertise. Ordered logistic regression models were applied to measure efficacy of the proposed security and computing factors in predicting user comprehension of security concepts: phishing and certificates.Findings -There are levels to peoples' computer and security expertise that could be reasonably measured and operationalized. Four factors that constitute computer security-related skills and knowledge are, namely, basic computer skills, advanced computer skills, security knowledge and advanced security skills, and these are identified as determinants of computer expertise.Practical implications -Findings from this work can be used to guide the design of security interfaces such that it caters to people with different expertise levels and does not force users to exercise more cognitive processes than required.Originality/value -This work identified four factors that constitute security expertise in end users.Findings from this work were integrated to propose a framework called Security SRK for guiding further research on security expertise. This work posits that security expertise instrument for end user should measure three cognitive dimensions: security skills, rules and knowledge.

show abstract

Privacy concerns in assisted living technologies

Cited by 19 publications

References 23 publications

Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive Technologies

Factors in an end user security expertise instrument

Contact Info

Product

Resources

About