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Would a robot trust you? Developmental robotics model of trust and theory of mind

Samuele Vinanzi, Massimiliano Patacchiola, Antonio Chella, Angelo Cangelosi
2019 Philosophical Transactions of the Royal Society of London. Biological Sciences  
We propose an artificial cognitive architecture based on the developmental robotics paradigm that can estimate the trustworthiness of its human interactors for the purpose of decision making.  ...  The ability for an agent to evaluate the trustworthiness of its sources of information is particularly useful in joint task situations where people and robots must collaborate to reach shared goals.  ...  The cognitive architecture we designed creates one of these BNs for each informant it interacts with and uses it to predict its future behavior.  ... 
doi:10.1098/rstb.2018.0032 pmid:30852993 pmcid:PMC6452250 fatcat:6mzca62qzzf65bpwv3uwyk56ke

Challenges of social cognitive network science: network science collaborative technology alliance perspective

Keryl Ann Cosenzo, Boleslaw Karol Szymanski
2013 2013 IEEE 2nd Network Science Workshop (NSW)  
The review of the progress and current status of research of the center provide state-of-the-art view of the relevant areas of social cognitive network science.  ...  This paper reviews challenges and summarize the progress accomplished by the Social Cognitive Networks Academic Research Center of the Network Science Collaborative Technology Alliance.  ...  interactions between human cognition/behavior and the network.  ... 
doi:10.1109/nsw.2013.6609207 dblp:conf/nsw/CosenzoS13 fatcat:jdbhqsg7ubbxdl7rntjkrgvjbq

How social cognition can inform social decision making

Victoria K. Lee, Lasana T. Harris
2013 Frontiers in Neuroscience  
implications of social cognition processes in an economic decision-making context-and examine the benefits of integrating social psychological theory with behavioral economic theory.  ...  Here we review and integrate the person perception and decision-making literatures to understand how social cognition can inform the study of social decision-making in a way that is consistent with both  ...  SOCIAL LEARNING So far we have seen that social cognition informs predictions made in social decision-making studies when interacting with human but not (or to a lesser extent) when interacting with computer  ... 
doi:10.3389/fnins.2013.00259 pmid:24399928 pmcid:PMC3872305 fatcat:sxkvzq4ervaltkzrh6gf26sc6y

A Cognitive Model of Trust for Biological and Artificial Humanoid Robots

Rosario Sorbello, Carmelo Cali, Salvatore Tramonte, Shuichi Nishio, Hiroshi Ishiguro, Antonio Chella
2018 Procedia Computer Science  
This paper presents a model of trust for biological and artificial humanoid robots and agents as antecedent condition of interaction.  ...  Abstract This paper presents a model of trust for biological and artificial humanoid robots and agents as antecedent condition of interaction.  ...  This theory provides an explication of the kinds of information and cognitive engines of trust.  ... 
doi:10.1016/j.procs.2018.11.117 fatcat:bnoxjdls65cfpn6yishyq7krzi

Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration [article]

Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston
2021 arXiv   pre-print
Here, we review the literature on trust, human-robot interaction, human-robot collaboration, and human interaction at large.  ...  Early models of trust suggest that trust entails a trade-off between benevolence and competence, while studies of human-to-human interaction emphasize the role of shared behavior and mutual knowledge in  ...  What factors influence trust during human-robot interaction, and how does human inference underwrite the continuous information exchange in human-computer systems?  ... 
arXiv:2104.11153v1 fatcat:6tzys6h4vffmzpfllqojx6judy

In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions

Andrea Ferrario, Michele Loi, Eleonora Viganò
2019 Philosophy & Technology  
We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs.  ...  In this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions.  ...  In this paper, we have introduced an incremental model of trust that can be applied to human-human and human-AI interactions combining both cognitive and non-cognitive accounts of trust.  ... 
doi:10.1007/s13347-019-00378-3 fatcat:7rtpyupt2zgvdfjshkdledqx4q

What Is the Model of Trust for Multi-agent Systems? Whether or Not E-Trust Applies to Autonomous Agents

Massimo Durante
2010 Knowledge, Technology and Policy  
In this framework, the issue is to evaluate whether or not a socio-cognitive analysis of trust can apply to the interactions between human and autonomous agents.  ...  The other suggests that trust may apply to autonomous agents because predictability of agents' interaction is viewed only as a relative value since the digital normativity that grows out of the communication  ...  Luciano Floridi's ethics of information (2001, 2004 ) stands against such commonplace and his moral theory has already been proved to be fruitfully applicable to the domain of trust (Taddeo 2009 (Taddeo  ... 
doi:10.1007/s12130-010-9118-4 fatcat:4vr4l3qxsrgojeuhdbt6pariba

Page 3387 of Psychological Abstracts Vol. 75, Issue 12 [page]

1988 Psychological Abstracts  
Barber’s (1983) model of trust in human new there is suggested as the basis for a model of human-machine trust. Changes in humanstrust of machines as a result of experience are discussed.  ...  —Contends that operator errors in process environments arise from a mismatch between the properties of the system as a whole and the characteristics of human information processing and that cognitive prostheses  ... 

Performer Model : Towards A Framework For Interactive Performance Based On Perceived Intention

Greg Corness
2008 Zenodo  
My study presents an alternative model ofinteraction designed for improvisatory performance centered onthe perception of the performer as understood by theories takenfrom performance practices and cognitive  ...  Through the developing of tools for analyzing the performerssonic and movement-based gestures, research into the systemperformer interaction has focused on the computer's ability torespond to the performer  ...  Still, the presence of the pre-cognitive function implies that the human cognitive system as a whole works in connection with this mechanism, and that even at a cognitive level, interaction is governed  ... 
doi:10.5281/zenodo.1179514 fatcat:gscgulzl5zfmhnqhubyywswu5i

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences [article]

Q. Vera Liao, Kush R. Varshney
2022 arXiv   pre-print
technical choices by users' explainability needs, to uncover pitfalls of existing XAI methods and inform new methods, and to provide conceptual frameworks for human-compatible XAI.  ...  Human-computer interaction (HCI) research and user experience (UX) design in this area are becoming increasingly important.  ...  We are also grateful to members of the Human-AI Collaboration group and the Foundations of Trustworthy AI department at IBM Research -Thomas J.  ... 
arXiv:2110.10790v5 fatcat:dgbugqcaonajflytg7mg6wj63q

Page 2152 of Psychological Abstracts Vol. 82, Issue 5 [page]

1995 Psychological Abstracts  
—A distinction is proposed between trust as a cog- nitive bias in the evaluation of incomplete information about the (potential) interaction partner and assurance as a perception of the incentive structure  ...  This hypothesis was applied to predict a set of cross-national differences between the US and Japan in the levels of trust and related factors.  ... 

Trust as Extended Control: Human-Machine Interactions as Active Inference

Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston
2021 Frontiers in Systems Neuroscience  
In the following paper we review the literature on trust, human-robot interaction, HRC, and human interaction at large.  ...  The description of trust as a sense of virtual control offers a crucial step toward grounding human factors in cognitive neuroscience and improving the design of human-centered technology.  ...  Here, we review contemporary theories of trust and their associated empirical data in the context of human-machine interaction.  ... 
doi:10.3389/fnsys.2021.669810 pmid:34720895 pmcid:PMC8548360 fatcat:do2angcsk5b6vd73vgdfya3ppm

Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources

S. N. Yanushkevich, W. G. Howells, K. A. Crockett, J. O'Shea, H. C. R. Oliveira, R. M. Guest, V. P. Shmerko
2019 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI)  
The cognitive identity management process is viewed as a multi-state dynamical system, and probabilistic reasoning is used for modeling of this process.  ...  The core of an approach is the perception-action cycle of each system state.  ...  Eastwood is acknowledged as a developer of the initial version of the multimetric inference software DS-BN v02.  ... 
doi:10.1109/cogmi48466.2019.00014 dblp:conf/cogmi/YanushkevichHCO19 fatcat:x3dkzauivrdhfakby64sjdfg6i

Emerging challenges in cognitive ergonomics: Managing swarms of self-organizing agent-based automation

John D. Lee
2001 Theoretical Issues in Ergonomics Science  
Cognitive ergonomics must develop an understanding of the basic cognitive demands associated with managing multi-agent automation, tools that consider the dynamics of the interaction, and constructs that  ...  The constructs of the information processing approach may not be su cient to explain reliance on multi-agent automation.  ...  Acknowledgements This paper is a product of discussions with Geb Thomas, Emily Pollack and Jerry Steele of the University of Iowa.  ... 
doi:10.1080/14639220110104925 fatcat:n7gwkguthrcyzmjvhtkoijznri

Intelligence Augmentation: Towards Building Human- machine Symbiotic Relationship

Lina Zhou, University of North Carolina at Charlotte, Souren Paul, Haluk Demirkan, Lingyao (Ivy) Yuan, Jim Spohrer, Michelle Zhou, Julie Basu, Northern Kentucky University, University of Washington Tacoma, Iowa State University, IBM (+2 others)
2021 AIS Transactions on Human-Computer Interaction  
Expanded from a panel discussion on Intelligence Augmentation at the 2020 International Conference of Information Systems (ICIS), we define IA in light of its history and evolution and classify IA based  ...  Based on reviewing the IA literature in terms of research themes, enabling technology, and applications, we identify key research issues, challenges, and future opportunities.  ...  Acknowledgments We thank the Editor-in-Chief, Fiona Nah, and the Managing Editor, Gregory D. Moody, for their support and guidance throughout the process.  ... 
doi:10.17705/1thci.00149 fatcat:evjwzwp2cra3tbf37s6chcsyuu
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