Academic literature on the topic 'Trust task'

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Journal articles on the topic "Trust task"

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Goetzinger, Patrick G., and Thomas E. Simmons. "South Dakota’s “Trust Task Force”." Trusts & Trustees 26, no. 7 (August 7, 2020): 637–45. http://dx.doi.org/10.1093/tandt/ttaa053.

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Abstract The State of South Dakota is known internationally as a premier trust situs jurisdiction. Its top ranking is due to a number of factors. Among those factors is a committed band of gubernatorial appointees—both lawyers and non-lawyers—who consider, debate and draft proposed legislation for the South Dakota Legislature each year. This “Trust Task Force” was created by the Governor of the State more than twenty years ago. This article traces the origin and evolution of the South Dakota Trust Task Force, its achievements and its inner workings. It compares the legislative process to enact trust laws in other leading American jurisdictions while commenting on additional important factors which underpin a top ranking among competitor trust jurisdictions.
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Soh, Harold, Yaqi Xie, Min Chen, and David Hsu. "Multi-task trust transfer for human–robot interaction." International Journal of Robotics Research 39, no. 2-3 (August 19, 2019): 233–49. http://dx.doi.org/10.1177/0278364919866905.

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Trust is essential in shaping human interactions with one another and with robots. In this article we investigate how human trust in robot capabilities transfers across multiple tasks. We present a human-subject study of two distinct task domains: a Fetch robot performing household tasks and a virtual reality simulation of an autonomous vehicle performing driving and parking maneuvers. The findings expand our understanding of trust and provide new predictive models of trust evolution and transfer via latent task representations: a rational Bayes model, a data-driven neural network model, and a hybrid model that combines the two. Experiments show that the proposed models outperform prevailing models when predicting trust over unseen tasks and users. These results suggest that (i) task-dependent functional trust models capture human trust in robot capabilities more accurately and (ii) trust transfer across tasks can be inferred to a good degree. The latter enables trust-mediated robot decision-making for fluent human–robot interaction in multi-task settings.
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Shu, Jian, Hemant Jain, and Changyong Liang. "Business Process Driven Trust-Based Task Scheduling." International Journal of Web Services Research 16, no. 3 (July 2019): 1–28. http://dx.doi.org/10.4018/ijwsr.2019070101.

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The demand for agile and flexible business application systems has sparked interest in using cloud computing technology to respond quickly and effectively to a dynamic business environment. The authors classify the appropriate cloud services as a multi-objectives task scheduling problem in a hybrid cloud service system. In this article, the authors propose a business process (BP) driven task scheduling system that supports multiple clouds, including private ones. A trust-based non-dominated sorting genetic algorithm (NSGA2) is developed to solve the multi-objective task scheduling problem. By sorting populations into different hierarchies based on the ordering of Pareto dominance, they identify a Pareto-optimal multi-dimensional frontier that permits managers to reconcile conflicting objectives when scheduling tasks on cloud resources. The authors illustrate the usability and effectiveness of their approach by applying it to a case study conducting simulated experiments.
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Olson, Joel, and Linda Olson. "Virtual team trust: task, communication and sequence." Team Performance Management: An International Journal 18, no. 5/6 (August 17, 2012): 256–76. http://dx.doi.org/10.1108/13527591211251131.

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Sherwood, Arthur Lloyd, and Concetta A. DePaolo. "Task and Relationship-Oriented Trust In Leaders." Journal of Leadership & Organizational Studies 12, no. 2 (December 2005): 65–81. http://dx.doi.org/10.1177/107179190501200206.

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Rico, Ramón, Carlos-María Alcover, Miriam Sánchez-Manzanares, and Francisco Gil. "The joint relationships of communication behaviors and task interdependence on trust building and change in virtual project teams." Social Science Information 48, no. 2 (June 2009): 229–55. http://dx.doi.org/10.1177/0539018409102410.

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The study presented in this article examined how specific communication behaviors among team members interacted with task interdependence in relation to the building and changing of trust within 53 virtual project teams. At the mid-point of the teams' projects, our results showed that task-oriented communications among team members related significantly to trust, and that communications conveying enthusiasm related to trust only under conditions of low task interdependence. At the end of a team's project, trust among team members related positively to predictability of communications and substantive responses under higher levels of task interdependence. These findings develop extant trust theory in virtual teams, suggesting some useful guidelines to better understand and manage trust processes.
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David, Kauffmann, and Carmi Golan. "The Mediating Effect of Interpersonal Trust on Virtual Team's Collaboration." International Journal of Knowledge Management 13, no. 3 (July 2017): 20–37. http://dx.doi.org/10.4018/ijkm.2017070102.

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This article examines the relationship between task-communication and five collaborative processes by exploring the mediating effect of interpersonal trust in a virtual team's environment. A multiple mediation model was developed to examine this relationship where cognitive-based trust and affective-based trust are defined as mediation variables between task-communication and the five processes of collaboration. The main results of this study show a significant correlation with a large effect size between task communication, trust and collaboration. Also, interpersonal trust is playing an important role as a mediating element in the relationship between task communication and collaboration. This is where the emotional side of trust is no less important than the rational side, if not even more, in some collaborative processes.
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Nah, Fiona Fui-Hoon, Shu Z. Schiller, Brian E. Mennecke, Keng Siau, Brenda Eschenbrenner, and Parichart Sattayanuwat. "Collaboration in Virtual Worlds." Journal of Database Management 28, no. 4 (October 2017): 60–78. http://dx.doi.org/10.4018/jdm.2017100104.

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Virtual worlds are three-dimensional, computer-generated worlds in which team collaboration can be facilitated through the use of shared virtual space and mediated using avatars. This article examines the effect of task complexity on team collaboration. A puzzle game in Second Life was used as the collaborative task and task complexity was manipulated by varying the number of pieces in the puzzle. The hypotheses are that task complexity influences team trust, and team trust influences team process satisfaction in virtual team collaboration. The experimental results indicate that task complexity has significant effects on team trust and team process satisfaction, and team trust fully mediates the relationship between task complexity and team process satisfaction.
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Hale, Joanna, Madeleine EM Payne, Kathryn M. Taylor, Davide Paoletti, and Antonia F. De C Hamilton. "The virtual maze: A behavioural tool for measuring trust." Quarterly Journal of Experimental Psychology 71, no. 4 (January 1, 2018): 989–1008. http://dx.doi.org/10.1080/17470218.2017.1307865.

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Trusting another person may depend on our level of generalised trust in others, as well as perceptions of that specific person’s trustworthiness. However, many studies measuring trust outcomes have not discussed generalised versus specific trust. To measure specific trust in others, we developed a novel behavioural task. Participants navigate a virtual maze and make a series of decisions about how to proceed. Before each decision, they may ask for advice from two virtual characters they have briefly interviewed earlier. We manipulated the virtual characters’ trustworthiness during the interview phase and measured how often participants approached and followed advice from each character. We also measured trust through ratings and an investment game. Across three studies, we found participants followed advice from a trustworthy character significantly more than an untrustworthy character, demonstrating the validity of the maze task. Behaviour in the virtual maze reflected specific trust rather than generalised trust, whereas the investment game picked up on generalised trust as well as specific trust. Our data suggest the virtual maze task may provide an alternative behavioural approach to measuring specific trust in future research, and we demonstrate how the task may be used in traditional laboratories.
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Neigel, Alexis R., Justine P. Caylor, Sue E. Kase, Michelle T. Vanni, and Jefferson Hoye. "The Role of Trust and Automation in an Intelligence Analyst Decisional Guidance Paradigm." Journal of Cognitive Engineering and Decision Making 12, no. 4 (September 6, 2018): 239–47. http://dx.doi.org/10.1177/1555343418799601.

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Trust in automation has been linked to a multitude of performance improvements and implicated in the reduction of human error, stress, and workload. In the present study, trust in automation was examined in an experiment measuring the efficacy of linguistic annotation schemes for decision support and human performance. An automated aid provided decisional guidance to assist in intelligence task performance. Four hundred and fifty-eight participants were randomly assigned to one of three annotation schemes and then subsequently performed three simulated intelligence analysis task. The results indicated that trust played a significant role in intelligence task performance, though a significant trust by annotation scheme interaction did not emerge. Specifically, an increase in trust accompanied an increase in performance across the task types. We conclude with a discussion of trust and automated annotation schemes, which has implications for the intelligence operations community.
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Dissertations / Theses on the topic "Trust task"

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Popa, Clara L. "Initial Trust Formation in Temporary Small Task Groups: Testing a Model of Swift Trust." [Kent, Ohio] : Kent State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1113573275.

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Thesis (Ph.D.)--Kent State University, 2005.
Title from PDF t.p. (viewed Sept. 12, 2006). Advisor: Rebecca R. Rubin. Keywords: temporary groups; swift trust; trust; organizational task groups. Includes survey instruments. Includes bibliographical references (p. 113-121).
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Kulms, Philipp [Verfasser]. "Trust in interdependent and task-oriented human-computer cooperation / Philipp Kulms." Bielefeld : Universitätsbibliothek Bielefeld, 2018. http://d-nb.info/117198782X/34.

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Broll, Anthony W. "Trust in adaptive automation in a tactical search and navigation task." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105090.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 271-275).
Handheld smart phone devices incorporate communication and mapping tools into small military squads to increase their effectiveness. These devices link a squad with headquarters, satellites and unmanned aerial vehicles to provide them with up to date intelligence. This information is filtered by adaptive technology which prioritizes the most vital pieces. An indoor search and navigation experiment was conducted to determine the appropriate type of automation (adaptive or adaptable) to prioritize this intelligence for decision makers in an uncertain, time-critical scenario. An experiment was conducted with eight males in their early 20's actively serving the US military or part of a training program. Subjects utilized an app on an HTC Desire designed to navigate the user indoors from a start QR code to a goal QR code while collecting additional QR codes to maximize their point totals within three minutes. Subjects utilized the app in one of two modes: computer-select (adaptive automation) and user-choice (adaptable automation). In addition, updates in the form of floor closures would occur in half of the 24 trials. Results of the study showed a preference for computer-select with better performance on the primary task. Users ended up using both systems as a type of user-choice by disregarding the app's path planning beyond the initial route. The user preference for computer-select was tied to the ability of the system to adjust to the human instead of the user having to tell the system what it was doing. Subjects wanted the flexibility of adaptable and user-choice before the trial to plan and define their own route, but once the trial began, the subject's temporal demand was too high to want to maintain that level of control beyond the subject's actions in the real world.
by Anthony W. Broll.
S.M.
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Fallon, Corey K. "The Effects of a Trust Violation in a Team Decision-making Task: Exploring the Affective Component of Trust." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1470741865.

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Milecki, Heather H. "Virtual Agent Interaction – Improving Cognitive Abilities and Trust for a Complex Visual Search Task." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1432811719.

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Pippin, Charles Everett. "Trust and reputation for formation and evolution of multi-robot teams." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50376.

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Agents in most types of societies use information about potential partners to determine whether to form mutually beneficial partnerships. We can say that when this information is used to decide to form a partnership that one agent trusts another, and when agents work together for mutual benefit in a partnership, we refer to this as a form of cooperation. Current multi-robot teams typically have the team's goals either explicitly or implicitly encoded into each robot's utility function and are expected to cooperate and perform as designed. However, there are many situations in which robots may not be interested in full cooperation, or may not be capable of performing as expected. In addition, the control strategy for robots may be fixed with no mechanism for modifying the team structure if teammate performance deteriorates. This dissertation investigates the application of trust to multi-robot teams. This research also addresses the problem of how cooperation can be enabled through the use of incentive mechanisms. We posit a framework wherein robot teams may be formed dynamically, using models of trust. These models are used to improve performance on the team, through evolution of the team dynamics. In this context, robots learn online which of their peers are capable and trustworthy to dynamically adjust their teaming strategy. We apply this framework to multi-robot task allocation and patrolling domains and show that performance is improved when this approach is used on teams that may have poorly performing or untrustworthy members. The contributions of this dissertation include algorithms for applying performance characteristics of individual robots to task allocation, methods for monitoring performance of robot team members, and a framework for modeling trust of robot team members. This work also includes experimental results gathered using simulations and on a team of indoor mobile robots to show that the use of a trust model can improve performance on multi-robot teams in the patrolling task.
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Oduor, Kenya Freeman. "The Effects of Automated Decision Aid Reliability and Algorithm Modality on Reported Trust and Task Performance." NCSU, 2006. http://www.lib.ncsu.edu/theses/available/etd-11022006-142746/.

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As IT systems grow more complex and become more prevalent, understanding the collaborative nature of the relationship between humans and automation becomes more important. Several factors influence the human-automation relationship. Research has shown that trust and perceived reliability are key factors in whether a relationship will develop between humans and automation. Presenting automation reliability and automation algorithms are ways to potentially improve this relationship. To explore this question, an experiment was conducted in which an automated decision aid presented suggestions to participants while they managed a simulated city (i.e., Policity). The goal was to maximize the health of the city?s population by adding hospitals, housing, businesses, and other facilities and services. Participants were assigned to conditions where the automated decision aid performed with high or low reliability levels. Based on condition, the decision aid?s algorithm was presented to participants in a textual or graphical (diagrammatic) format. Results showed that users? perception of the decision aid?s reliability directly influenced their trust in the decision aid. Results also showed that presenting the decision aid?s algorithm, regardless of modality (i.e., textual or graphical) had a direct impact on reported trust. Both had a direct effect on human performance. Additional results and implications are discussed.
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Ososky, Scott. "Influence of Task-Role Mental Models on Human Interpretation of Robot Motion Behavior." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6331.

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The transition in robotics from tools to teammates has begun. However, the benefit autonomous robots provide will be diminished if human teammates misinterpret robot behaviors. Applying mental model theory as the organizing framework for human understanding of robots, the current empirical study examined the influence of task-role mental models of robots on the interpretation of robot motion behaviors, and the resulting impact on subjective ratings of robots. Observers (N = 120) were exposed to robot behaviors that were either congruent or incongruent with their task-role mental model, by experimental manipulation of preparatory robot task-role information to influence mental models (i.e., security guard, groundskeeper, or no information), the robot's actual task-role behaviors (i.e., security guard or groundskeeper), and the order in which these robot behaviors were presented. The results of the research supported the hypothesis that observers with congruent mental models were significantly more accurate in interpreting the motion behaviors of the robot than observers without a specific mental model. Additionally, an incongruent mental model, under certain circumstances, significantly hindered an observer's interpretation accuracy, resulting in subjective sureness of inaccurate interpretations. The strength of the effects that mental models had on the interpretation and assessment of robot behaviors was thought to have been moderated by the ease with which a particular mental model could reasonably explain the robot's behavior, termed mental model applicability. Finally, positive associations were found between differences in observers' interpretation accuracy and differences in subjective ratings of robot intelligence, safety, and trustworthiness. The current research offers implications for the relationships between mental model components, as well as implications for designing robot behaviors to appear more transparent, or opaque, to humans.
Ph.D.
Doctorate
Graduate Studies
Sciences
Modeling & Simulation
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Nisar, Khattak Mohammad. "Give good get good do servant leadership behaviours work in a political organisational culture." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/117687/2/Mohammad_Nisar_Thesis.pdf.

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In this thesis a mixed method research design is adopted to investigate the mechanisms underlying the relationships between servant leadership and employee task performance and citizenship behaviours. Also examined in this thesis is the impact of organisational politics on these relationships. The research, conducted in a South Asian context, comprises two studies utilising the sequential exploratory mixed-method research design. In the first qualitative study, 25 participants were purposefully selected from five different administrative departments of the case organisation. In the follow-up quantitative study, 236 participants were recruited using a convenience sample. Across both studies servant leaders were fund to work effectively to influence subordinates’ task performance and citizenship behaviours. This was the case even in highly political environments where self-centred activities are in abundance.
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Wang, Yating. "Trust-Based Service Management for Service-Oriented Mobile Ad Hoc Networks and Its Application to Service Composition and Task Assignment with Multi-Objective Optimization Goals." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70965.

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With the proliferation of fairly powerful mobile devices and ubiquitous wireless technology, traditional mobile ad hoc networks (MANETs) now migrate into a new era of service-oriented MANETs wherein a node can provide and receive service from other nodes it encounters and interacts with. This dissertation research concerns trust management and its applications for service-oriented MANETs to answer the challenges of MANET environments, including no centralized authority, dynamically changing topology, limited bandwidth and battery power, limited observations, unreliable communication, and the presence of malicious nodes who act to break the system functionality as well as selfish nodes who act to maximize their own gain. We propose a context-aware trust management model called CATrust for service-oriented ad hoc networks. The novelty of our design lies in the use of logit regression to dynamically estimate trustworthiness of a service provider based on its service behavior patterns in a context environment, treating channel conditions, node status, service payoff, and social disposition as 'context' information. We develop a recommendation filtering mechanism to effectively screen out false recommendations even in extremely hostile environments in which the majority recommenders are malicious. We demonstrate desirable convergence, accuracy, and resiliency properties of CATrust. We also demonstrate that CATrust outperforms contemporary peer-to-peer and Internet of Things trust models in terms of service trust prediction accuracy against collusion recommendation attacks. We validate the design of trust-based service management based on CATrust with a node-to-service composition and binding MANET application and a node-to-task assignment MANET application with multi-objective optimization (MOO) requirements. For either application, we propose a trust-based algorithm to effectively filter out malicious nodes exhibiting various attack behaviors by penalizing them with trust loss, which ultimately leads to high user satisfaction. Our trust-based algorithm is efficient with polynomial runtime complexity while achieving a close-to-optimal solution. We demonstrate that our trust-based algorithm built on CATrust outperforms a non-trust-based counterpart using blacklisting techniques and trust-based counterparts built on contemporary peer-to-peer trust protocols. We also develop a dynamic table-lookup method to apply the best trust model parameter settings upon detection of rapid MANET environment changes to maximize MOO performance.
Ph. D.
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Books on the topic "Trust task"

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Ontario. Task Force on Financial Institutions. The Ontario Task Force on Financial Institutions: Final report. Toronto: The Task Force, 1985.

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Confidence, Massachusetts Chief Justice's Commission on the Future of the Courts Task Force on Quality of Justice/Public Trust and. Report of the Task Force on Quality of Justice/Public Trust and Confidence. [Boston, Mass.]: The Commission, 1991.

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Massachusetts. Supreme Judicial Court. Commission on the Future of the Courts. Task Force on Quality of Justice/Public Trust and Confidence. Report of the Task Force on Quality of Justice/Public Trust and Confidence. Boston, Mass: The Commission, 1992.

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United States. Congress. House. Committee on Resources. Task Force on Indian Trust Fund Management. Management and reconciliation of Indian Trust Fund accounts: Hearing before the Task Force on Indian Trust Fund Management of the Committee on Resources, House of Representatives, One Hundred Fourth Congress, second session, on the management of Indian trust funds, this government's trust responsibility to Native Americans, and an audit or reconciliation of these trust fund accounts, June 18, 1996--Washington, DC. Washington: U.S. G.P.O., 1996.

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Task Force on Governance and Cultural Change in the RCMP (Canada). Rebuilding the trust: Report of the Task Force on Governance and Cultural Change in the RCMP. [Ottawa]: Task Force on Governance and Cultural Change in the RCMP, 2007.

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United States. Congress. House. Committee on Resources. Task Force on Indian Trust Fund Management. Indian trust fund accounts management: Oversight hearings before the Task Force on Indian Trust Fund Management of the Committee on Resources, House of Representatives, One Hundred Fourth Congress, second session, on management ... relating to Alaska Natives, August 10, 1996--Anchorage, AK; management ... by the Department of the Interior, August 20, 1996--Scottsdale, AZ; management and reconciliation ... September 26, 1996--Washington, DC. Washington: U.S. G.P.O., 1997.

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Trust Fund Reform Task Force: Hearing before the Committee on Indian Affairs, United States Senate, One Hundred Seventh Congress, second session, on legislative proposal of the Department of the Interior/Tribal Trust Fund Reform Task Force, July 30, 2002, Washington, DC. Washington: U.S. G.P.O., 2002.

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United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Financial Institutions Supervision, Regulation and Insurance. Resolution Trust Corporation Task Force. Status and activities of the RTC and the Oversight Board: Hearings before the Subcommittee on Financial Institutions Supervision, Regulation, and Insurance and the Resolution Trust Corporation Task Force of the Committee on Banking, Finance, and Urban Affairs, House of Representatives, One Hundred First Congress, first session, October 4, 19, and November 6, 13, 1989. Washington: U.S. G.P.O., 1990.

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Fogel, Richard L. Resolution Trust Corporation Oversight Board: GAO views on strategic planning efforts : statement of Richard L. Fogel, Assistant Comptroller General, General Government Programs, before the Resolution Trust Corporation Task Force, Committee on Banking, Finance and Urban Affairs, House of Representatives. [Washington, D.C.]: U.S. General Accounting Office, 1989.

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United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Financial Insitutions Supervision, Regulation, and Insurance. Resolution Trust Corporation Task Force. Status and activities of the RTC and the Oversight Board: Hearings before the Subcommittee on Financial Institutions Supervision, Regulation, and Insurance and the Resolution Trust Corporation Task Force of the Committee on Banking, Finance, and Urban Affairs, House of Representatives, One Hundred First Congress, first session, October 4, 19, and November 6, 13, 1989. Washington: U.S. G.P.O., 1989.

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Book chapters on the topic "Trust task"

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Moyano, Francisco, Carmen Fernandez-Gago, Isaac Agudo, and Javier Lopez. "A Task Ordering Approach for Automatic Trust Establishment." In Lecture Notes in Computer Science, 75–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28166-2_8.

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Gupta, Punit, and Pradeep Kumar Gupta. "Trust Evaluation and Task Scheduling in Cloud Infrastructure." In Trust & Fault in Multi Layered Cloud Computing Architecture, 39–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37319-1_3.

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Gupta, Punit, and Pradeep Kumar Gupta. "Fault-Aware Task Scheduling for High Reliability." In Trust & Fault in Multi Layered Cloud Computing Architecture, 121–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37319-1_6.

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Neerincx, Mark, and Jan Willem Streefkerk. "Interacting in Desktop and Mobile Context: Emotion, Trust, and Task Performance." In Lecture Notes in Computer Science, 119–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39863-9_10.

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Sato, Koki, and Toshiharu Sugawara. "Multi-Agent Task Allocation Based on Reciprocal Trust in Distributed Environments." In Agents and Multi-Agent Systems: Technologies and Applications 2021, 477–88. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2994-5_40.

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Fallon, Corey K., April Rose Panganiban, Peter Chiu, and Gerald Matthews. "The Effects of a Trust Violation and Trust Repair in a Distributed Team Decision-Making Task: Exploring the Affective Component of Trust." In Advances in Intelligent Systems and Computing, 447–59. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41688-5_41.

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Kotsovinos, Evangelos, Ingo Friese, Martin Kurze, and Jörg Heuer. "A Role-Based Architecture for Seamless Identity Management and Effective Task Separation." In New Approaches for Security, Privacy and Trust in Complex Environments, 289–300. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-72367-9_25.

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Bansal, Nidhi, and Ajay Kumar Singh. "Trust for Task Scheduling in Cloud Computing Unfolds It Through Fruit Congenial." In Networking Communication and Data Knowledge Engineering, 41–48. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4600-1_4.

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Luo, Junzhou, Peng Ji, Xiaozhi Wang, and Ye Zhu. "A Novel Method of QoS Based Resource Management and Trust Based Task Scheduling." In Computer Supported Cooperative Work in Design I, 21–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11568421_3.

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Liu, Jie. "Toward a Partnership Based on Historical Reconciliation and Mutual Trust." In Sustainable Development Goals Series, 167–84. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4859-6_11.

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AbstractIn the age of globalization when people around the world must work together to deal with common challenges, global histories with the intention to create “global citizens” are essential. Therefore, reviewing the “new historiography” advocated by Liang Qichao and creating a “neo-new historiography” that is compatible with the age of globalization and can contribute to “reconciliation studies” and the sustainable global partnership should not be a task for China alone. The goal of no. SDGs17 is to “activate the global partnership toward sustainable development.” However, in East Asia, to establish such a partnership and make it work, it is necessary to build trust as a precondition. To build trust in this region, “history” must be overcome. However, the history of perpetration and victimization has been politicized, casting a shadow on the trust between nations and their peoples. This chapter aims to propose methods to build the global partnership by seeking solutions to the “history problem” that extends outside the realm of “historiography.”
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Conference papers on the topic "Trust task"

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Soh, Harold, Shu Pan, Min Chen, and David Hsu. "Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/868.

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This work contributes both experimental findings and novel computational human-robot trust models for multi-task settings. We describe Bayesian non-parametric and neural models, and compare their performance on data collected from real-world human-subjects study. Our study spans two distinct task domains: household tasks performed by a Fetch robot, and a virtual reality driving simulation of an autonomous vehicle performing a variety of maneuvers. We find that human trust changes and transfers across tasks in a structured manner based on perceived task characteristics. Our results suggest that task-dependent functional trust models capture human trust in robot capabilities more accurately, and trust transfer across tasks can be inferred to a good degree. We believe these models are key for enabling trust-based robot decision-making for natural human-robot interaction.
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Zhan, Justin, Xing Fang, and Peter Killion. "Trust optimization in task-oriented social networks." In 2011 IEEE Symposium On Computational Intelligence In Cyber Security - Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/cicybs.2011.5949408.

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Chen, Haiguang, Gangfeng Gu, Xinhua Chen, and Chongming Zhang. "Task and Trust for Wireless Sensor Networks." In 2008 International Conference on Security Technology (SECTECH). IEEE, 2008. http://dx.doi.org/10.1109/sectech.2008.39.

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Rahman, S. M. Mizanoor, Behzad Sadrfaridpour, and Yue Wang. "Trust-Based Optimal Subtask Allocation and Model Predictive Control for Human-Robot Collaborative Assembly in Manufacturing." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9850.

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We develop a one human-one robot hybrid cell for collaborative assembly in manufacturing. The selected task is to assemble a few LEGO parts into a final assembled product following specified instructions and sequence in collaboration between the human and the robot. We develop a two-level feedforward optimization strategy that determines the optimal subtask allocation between the human and the robot for the selected assembly before the assembly starts. We derive dynamics models for human’s trust in the robot and the robot’s trust in the human for the assembly and estimate the trusts. The aim is to maintain satisfactory trust levels between the human and the robot through the application of the optimal subtask allocation. Again, subtask re-allocation is proposed to regain trusts if the trusts reduce to below the specified levels. Furthermore, it is hypothesized that fluctuations in human’s trust in the robot may cause fluctuations in human’s speeds and the human may appreciate if the robot adjusts its speeds with changes in human speeds. Hence, trust-based Model Predictive Control (MPC) is proposed to minimize the variations between human and robot speeds and to maximize the trusts. Experiment results prove the effectiveness of the hybrid cell, the feedforward optimal subtask allocation and of the trust-based MPC. The results also show that the overall assembly performance can be enhanced and the performance status can be monitored through a single dynamic parameter, i.e. the trust.
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Griffiths, Nathan. "Task delegation using experience-based multi-dimensional trust." In the fourth international joint conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1082473.1082548.

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Wu, Qitian, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, and Guihai Chen. "Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/538.

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Social recommendation could address the data sparsity and cold-start problems for collaborative filtering by leveraging user trust relationships as auxiliary information for recommendation. However, most existing methods tend to consider the trust relationship as preference similarity in a static way and model the representations for user preference and social trust via a common feature space. In this paper, we propose TrustEV and take the view of multi-task learning to unite collaborative filtering for recommendation and network embedding for user trust. We design a special feature evolution unit that enables the embedding vectors for two tasks to exchange their features in a probabilistic manner, and further harness a meta-controller to globally explore proper settings for the feature evolution units. The training process contains two nested loops, where in the outer loop, we optimize the meta-controller by Bayesian optimization, and in the inner loop, we train the feedforward model with given feature evolution units. Experiment results show that TrustEV could make better use of social information and greatly improve recommendation MAE over state-of-the-art approaches.
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Zheng, Huanfei, Zhanrui Liao, and Yue Wang. "Human-Robot Trust Integrated Task Allocation and Symbolic Motion Planning for Heterogeneous Multi-Robot Systems." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9161.

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This paper presents a human-robot trust integrated task allocation and motion planning framework for multi-robot systems (MRS) in performing a set of parallel subtasks. Parallel subtask specifications are conjuncted with MRS to synthesize a task allocation automaton. Each transition of the task allocation automaton is associated with the total trust value of human in corresponding robots. A dynamic Bayesian network (DBN) based human-robot trust model is constructed considering individual robot performance, safety coefficient, human cognitive workload and overall evaluation of task allocation. Hence, a task allocation path with maximum encoded human-robot trust can be searched based on the current trust value of each robot in the task allocation automaton. Symbolic motion planning (SMP) is implemented for each robot after they obtain the sequence of actions. The task allocation path can be intermittently updated with this DBN based trust model. The overall strategy is demonstrated by a simulation with 5 robots and 3 parallel subtask automata.
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Zhang, Hanbo, Site Bai, Xuguang Lan, David Hsu, and Nanning Zheng. "Hindsight Trust Region Policy Optimization." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/459.

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Reinforcement Learning (RL) with sparse rewards is a major challenge. We pro- pose Hindsight Trust Region Policy Optimization (HTRPO), a new RL algorithm that extends the highly successful TRPO algorithm with hindsight to tackle the challenge of sparse rewards. Hindsight refers to the algorithm’s ability to learn from information across goals, including past goals not intended for the current task. We derive the hindsight form of TRPO, together with QKL, a quadratic approximation to the KL divergence constraint on the trust region. QKL reduces variance in KL divergence estimation and improves stability in policy updates. We show that HTRPO has similar convergence property as TRPO. We also present Hindsight Goal Filtering (HGF), which further improves the learning performance for suitable tasks. HTRPO has been evaluated on various sparse-reward tasks, including Atari games and simulated robot control. Experimental results show that HTRPO consistently outperforms TRPO, as well as HPG, a state-of-the-art policy 14 gradient algorithm for RL with sparse rewards.
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Haobo, Wang, Li Chunlin, Yan Chunxiang, Li Qingqing, and Li Jun. "Ad Hoc grid task scheduling algorithm considering trust-demand." In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497283.

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Ji, Hao, and Yan Jin. "Modeling Trust in Self-Organizing Systems With Heterogeneity." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86006.

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Self-organizing systems (SOS) possess the potential of performing complex tasks in uncertain situations with adaptability. Despite the benefits of self-organizing, it is also subject to the influence of unpredictable behavior of individual agents and environment noises. In hostile situations for example, individual performance of self-organizing agents may deteriorate and this can lead to system malfunction, posing great challenge for the design of SOS. In this paper, we propose a trust based model as a design approach to SOS in consideration of the capability heterogeneity of the agents. A box-pushing task was presented and studied. Trust is measured using beta probability distribution, which takes into account both the positive and negative interactions between the agents. The simulation results have shown that our trust model ensures favorable interactions among agents and leads to increased system effectiveness and conditional system efficiency improvement in comparison to SOS without using a trust model.
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Reports on the topic "Trust task"

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Rivera, Reinaldo. The Joint Interagency Task Force (JIATF) Conundrum: Cooperation Among Competitors, is Harmony Achievable Through Trust and Understanding. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada415573.

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Aruguete, Natalia, Ernesto Calvo, Carlos Scartascini, and Tiago Ventura. Trustful Voters, Trustworthy Politicians: A Survey Experiment on the Influence of Social Media in Politics. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003389.

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Recent increases in political polarization in social media raise questions about the relationship between negative online messages and the decline in political trust around the world. To evaluate this claim causally, we implement a variant of the well-known trust game in a survey experiment with 4,800 respondents in Brazil and Mexico. Our design allows to test the effect of social media on trust and trustworthiness. Survey respondents alternate as agents (politicians) and principals (voters). Players can cast votes, trust others with their votes, and cast entrusted votes. The players rewards are contingent on their preferred “candidate” winning the election. We measure the extent to which voters place their trust in others and are themselves trustworthy, that is, willing to honor requests that may not benefit them. Treated respondents are exposed to messages from in-group or out-group politicians, and with positive or negative tone. Results provide robust support for a negative effect of uncivil partisan discourse on trust behavior and null results on trustworthiness. The negative effect on trust is considerably greater among randomly treated respondents who engage with social media messages. These results show that engaging with messages on social media can have a deleterious effect on trust, even when those messages are not relevant to the task at hand or not representative of the actions of the individuals involved in the game.
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Filiz, Ibrahim, Judek Jan René, Marco Lorenz, and Markus Spiwoks. Algorithm Aversion als Hindernis bei der Etablierung von Robo Advisors. Sonderforschungsgruppe Institutionenanalyse, 2022. http://dx.doi.org/10.46850/sofia.9783947850006.

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Within the framework of an economic laboratory experiment, we investigate how Algorithm Aversion impedes the establishment of Robo Advisors. The participants have to cope with diversification tasks. They can do this themselves or they can entrust a Robo Advisor with this task. The Robo Advisor evaluates all relevant data and always makes the decision that leads to the highest expected value of compensation for the participant. Although the high performance of the Robo Advisor is obvious, the participants only trust the Robo Advisor in around 40% of all decisions. This reduces their success and their compensation. Many participants are guided by the 1/n heuristic, which contributes to their suboptimal decisions. Insofar as the participants have to decide for others, they noticeably put more effort into it and are also more successful than when they decide for themselves. However, this does not affect the acceptance of the Robo Advisor. Even in the case of proxy decisions, the Robo Advisor is only used in around 40% of cases. The propensity of economic agents towards algorithm aversion stands in the way of a broad establishment of Robo Advisors.
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Adams, Sophie, Lisa Diamond, Tara Esterl, Peter Fröhlich, Rishabh Ghotge, Regina Hemm, Ida Marie Henriksen, et al. Social License to Automate: Emerging Approaches to Demand Side Management. IEA User-Centred Energy Systems Technology Collaboration Programme, October 2021. http://dx.doi.org/10.47568/4xr122.

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The Social License to Automate Task has investigated the social dimensions of user engagement with automated technologies in energy systems to understand how end-user trust to automate is built and maintained in different jurisdictions and cultural settings. The rapid uptake of renewable energy systems will require new automated technologies to balance energy supplies. Some developers are looking to locate these in households where energy is being used. This saves moving the energy from centralised generation sites (remote hydro, solar or wind). This report details the findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.
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Lam, Terence, and Keith Gale. Construction frameworks in the public sector: Do they deliver what they promise? Property Research Trust, November 2021. http://dx.doi.org/10.52915/sbuk7331.

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We demonstrate that the use of Performance Frameworks for the procurement of construction projects by public sector organizations in the UK (specifically, in England) leads to significantly improved outcomes in terms of time, cost, quality, sustainability and closer relationships, than the traditional ‘open tender’ approach of procuring discrete projects, individually. We identify the factors that lead to such improvements. We label these: supplier’s task performance factors (project staff, execution approach, competence of firm and structure of firm); supplier’s contextual performance factors (trust and collaboration, culture and conscious behaviour); and client’s organisational factors (incentives, performance monitoring, procurement approach and communication). And we offer a performance improvement model that will help project managers to select the most appropriate suppliers at the procurement phase, to achieve successful project outcomes. The model can also be used to drive project performance further, by adopting client’s organisational factors during the procurement and construction phases. By applying the research conclusions, suppliers will be able to focus on communicating their strengths in the relevant aspects of task and contextual performance for technical tender proposals, and so increase the value of their services and the probabilities of winning work. And the analysis can be used by policy makers to help in drafting regulations and legislation on formal frameworks, in ways that will improve the delivery of policy objectives.
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‘Creative approaches to developing skills for future CAMHS professionals’ In conversation with Dr. Carlos Hoyos. ACAMH, January 2021. http://dx.doi.org/10.13056/acamh.14393.

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In this podcast we talk to Dr. Carlos Hoyos, consultant child and adolescent psychiatrist at Southern Health NHS Foundation Trust, undergraduate lead for psychiatry at the University of Southampton and ACAMH's 2020 winner of the David Cottrill Education of CAMH Professionals Award.
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