Advances in Trust, Identity, and Trusted Systems in Technology-Mediated Environments
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ItemThe Influence of Personality on Code Reuse( 2019-01-08)The ubiquity and necessity of computer software requires programmers to reuse extant code to keep up with increasing software demands. Researchers have started to investigate the underlying psychological processes and the programmer characteristics affecting code reuse. The present study investigated the role of programmer personality (propensity to trust, suspicion propensity) on willingness to reuse code. Programmers were recruited through Amazon’s Mechanical Turk. Programmers completed propensity to trust and suspicion personality inventories and were subsequently presented with 18 pieces of computer code containing transparency and reputation manipulations. The results demonstrated that propensity to trust did not influence willingness to reuse code. However, facets of suspicion propensity did affect reuse willingness. Programmers lower in trait mal-intent perceptions and higher in cognitive activity were more likely to report they would reuse code. Implications and applications are discussed.
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ItemDevelopment of Trust Measure in Biometric Technology( 2019-01-08)Societal acceptance of biometric technology is complex and highly dependent on trust. The limited work on trust in biometric s is mostly anecdotal with correlational patterns associated with familiarity and confidence in different types of biometric s [26]. To develop a comprehensive understanding of people’s trust perceptions toward biometric s, we employed existing theories to develop a systematic measure of trust in biometric s from a consumer perspective. We 1) gathered prior trust measures in the context of interpersonal interaction, technology adoption, information system and automated technology, 2) identified common trust dimensions across these contexts, 3) modified the items for the context of biometric technology, and 4) conducted a survey study to determine sub-factors and reliability of this new measure. Our data generated seven new factors associated with consumer trust in biometric technology. We discuss implications of the current work and suggest future directions.
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ItemTrust Development in Networked Environments: A Performative Account( 2019-01-08)We focus on trust development in dynamic, unstructured and non-commercial networked environments and conceptualize it as the process of producing a stable network ordering. We present a longitudinal, in-depth case study of the global humanitarian aid network, which is undergoing a disruptive transformation due to the emergence of digital volunteers who offer unique digital capacity for collecting and analyzing humanitarian aid data. Integrating this new actor-network into the existing global humanitarian network, comprised of formal organizations exhibits many problems that are concerned with trust. The ongoing inter-penetrating of these two networks is leading towards stabilizing into a new, qualitatively different network ordering that morphs the traditional and digital network models. We draw on sociology of translation, with its relational and performative sensibility, to analyze the network emerging and stabilizing as processes of trust development. We highlight the importance of four practices, performative of network trust: problematization, interessement, enrollment and mobilization.
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ItemTrust and risky technologies: Aligning and coping with Tesla Autopilot( 2019-01-08)Products are increasingly digitized, and they incorporate digital components, smart features and partial automation. Modern cars are a prime example of consumer-oriented automation; they sense the environment and perform specific driving tasks on the driver’s behalf. The driving assistance and safety features provided by automation are under constant development, and as these features evolve, drivers experience and learn about their capabilities as they use them and develop their trust in automation in the light of new experiences and information. In this paper, we present a study on how trust in car automation unfolds as users gain experiences and information that conflicts with their expectations concerning the level of automation. We use Tesla Model S car as our case technology and explore how its users develop their trust and cope with issues with the novel automation technology. Our findings suggest important directions for future research of consumer-oriented automation and digitized products.
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ItemThe Co-Evolution of Trust and Coordination in Global Software Development Teams-An Extensible Evolutionary Game Theory Model( 2019-01-08)Trust is important for effective coordination in global software development teams. However, the co-evolution of trust and coordination is often neglected. To fill the gap, we develop an evolutionary game theory model. Using the Behavior-Preference-Constraint (BPC) model and Adaptive Play, the model challenges the traditional view of trust as a static “resource” for coordination and proposes an alternative view that trust dynamically restricts people’s action choices in interacting with other team members. Through analyzing the model, we describe how trust and coordination co-evolve in the progress of interactions among team members. We propose three propositions summarizing the long-term characteristics of coordination and trust in the process. For example, the co-existence of low trust and high trust can be a stable state in the long run, which explains why low trust can always exist even when all team members strictly prefer effective coordination.
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