More Like this

1. Design of Trustworthy Cyber-Physical-Social Systems With Discrete Bayesian Optimization

   https://doi.org/10.1115/DETC2020-22661  

   Wang, Yan ( August 2020 , Proceedings of ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2020))

   null (Ed.)

   Cyber-physical-social systems (CPSS) with highly integrated functions of sensing, actuation, computation, and communication are becoming the mainstream consumer and commercial products. The performance of CPSS heavily relies on the information sharing between devices. Given the extensive data collection and sharing, security and privacy are of major concerns. Thus one major challenge of designing those CPSS is how to incorporate the perception of trust in product and systems design. Recently a trust quantification method was proposed to measure trustworthiness of CPSS by quantitative metrics of ability, benevolence, and integrity. In this paper, the applications of ability and benevolence metrics in design optimization of CPSS architecture are demonstrated. A Bayesian optimization method is developed to perform trust based CPSS network design, where the most trustworthy network with respect to a reference node can be selected to collaborate and share information with. 

   more » « less
2. Design of Trustworthy Cyber–Physical–Social Systems With Discrete Bayesian Optimization

   https://doi.org/10.1115/1.4049532  

   Wang, Yan ( July 2021 , Journal of Mechanical Design)

   null (Ed.)

   Abstract Cyber–physical–social systems (CPSS) with highly integrated functions of sensing, actuation, computation, and communication are becoming the mainstream consumer and commercial products. The performance of CPSS heavily relies on the information sharing between devices. Given the extensive data collection and sharing, security and privacy are of major concerns. Thus, one major challenge of designing those CPSS is how to incorporate the perception of trust in product and systems design. Recently, a trust quantification method was proposed to measure the trustworthiness of CPSS by quantitative metrics of ability, benevolence, and integrity. The CPSS network architecture can be optimized by choosing a subnet such that the trust metrics are maximized. The combinatorial network optimization problem, however, is computationally challenging. Most of the available global optimization algorithms for solving such problems are heuristic methods. In this paper, a surrogate-based discrete Bayesian optimization method is developed to perform network design, where the most trustworthy CPSS network with respect to a reference node is formed to collaborate and share information with. The applications of ability and benevolence metrics in design optimization of CPSS architecture are demonstrated. 

   more » « less
3. Trustworthiness in designing cyber-physical systems

   Wang, Yan ( May 2018 , Proceedings of 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE2018))

   Cyber-physical systems (CPS) provide unique functions of data collection, processing, communication, and control. The advanced capabilities and functions of CPS rely on their highly networked working environment and deep interdependency. The effectiveness of their performance critically depends on what and how they share among each other. Designing a trustworthy network that CPS can work together collaboratively thus is important. In order to design trustable CPS products, quantitative measures of trustworthiness are required. In this paper, quantitative metrics of trustworthiness, including capability, benevolence, and integrity, are proposed based on a new probabilistic graph model. The proposed metrics can be calculated from either subjective perception or objective information of network topology. A design optimization framework based on the trustworthiness metrics is also demonstrated. 

   more » « less
4. Impression management attenuates the effect of ability on trust in economic exchange

   https://doi.org/10.1073/pnas.2118548119  

   Reimann, Martin ; Hüller, Christoph ; Schilke, Oliver ; Cook, Karen S. ( July 2022 , Proceedings of the National Academy of Sciences)

   Are competent actors still trusted when they promote themselves? The answer to this question could have far-reaching implications for understanding trust production in a variety of economic exchange settings in which ability and impression management play vital roles, from succeeding in one’s job to excelling in the sales of goods and services. Much social science research assumes an unconditional positive impact of an actor’s ability on the trust placed in that actor: in other words, competence breeds trust. In this report, however, we challenge this assumption. Across a series of experiments, we manipulated both the ability and the self-promotion of a trustee and measured the level of trust received. Employing both online laboratory studies ( n = 5,606) and a field experiment ( n = 101,520), we find that impression management tactics (i.e., self-promotion and intimidation) can substantially backfire, at least for those with high ability. An explanation for this effect is encapsuled in attribution theory, which argues that capable actors are held to higher standards in terms of how kind and honest they are expected to be. Consistent with our social attribution account, mediation analyses show that competence combined with self-promotion decreases the trustee’s perceived benevolence and integrity and, in turn, the level of trust placed in that actor. 

   more » « less
5. The Nuanced Nature of Trust and Privacy Control Adoption in the Context of Google

   https://doi.org/10.1145/3544548.3581387  

   Ul Haque, Ehsan ; Khan, Mohammad Maifi ; Fahim, Md Abdullah ( April 2023 , CHI Conference on Human Factors in Computing Systems (CHI ‘23))

   This paper investigates how trust towards service providers and the adoption of privacy controls belonging to two specific purposes (control over “sharing” vs. “usage” of data) vary based on users’ technical literacy. Towards that, we chose Google as the context and conducted an online survey across 209 Google users. Our results suggest that integrity and benevolence perceptions toward Google are significantly lower among technical participants than non-technical participants. While trust perceptions differ between non-technical adopters and non-adopters of privacy controls, no such difference is found among the technical counterparts. Notably, among the non-technical participants, the direction of trust affecting privacy control adoption is observed to be reversed based on the purpose of the controls. Using qualitative analysis, we extract trust-enhancing and dampening factors contributing to users’ trusting beliefs towards Google’s protection of user privacy. The implications of our findings for the design and promotion of privacy controls are discussed in the paper. 

   more » « less