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Appropriate Trust in Artificial Intelligence (AI) systems has rapidly become an important area of focus for both researchers and practitioners.
Modeling and predicting trust dynamics in human–robot teaming: A bayesian inference approach
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Feigenbaum, E. A · 1971
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Allen, J. F · 1984
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Patrons, clients and friends: Interpersonal relations and the structure of trust in society
Eisenstadt, S. N., Aizensḥtadṭ, S. N., Roniger, L., et al · 1984
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Trust in close relationships
Rempel, J. K., Holmes, J. G., and Zanna, M. P · 1985
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Trust and antitrust
Baier, A · 1986
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Intention, Plans, and Practical Reason
Bratman, M · 1987
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Trust between humans and machines, and the design of decision aids
Muir, B. M · 1987
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Handbook of human factors
Sheridan, T · 1987
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FORUM: Why are people turning off our alarms?
Sorkin, R. D · 1988
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Likelihood alarm displays
Sorkin, R. D., Kantowitz, B. H., and Kantowitz, S. C · 1988
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Is knowing more really better? effects of system development information in human-expert system interactions
Bauhs, J. A., and Cooke, N. J · 1994
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Trust, self-confidence, and operators’ adaptation to automation
Lee, J. D., and Moray, N · 1994
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Moral prejudices: Essays on ethics
Beauchamp, T. L · 1995
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Trust in organizations: Frontiers of theory and research
Kramer, R. M., and Tyler, T. R · 1995
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An integrative model of organizational trust
Mayer, R. C., Davis, J. H., and Schoorman, F. D · 1995
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An introduction to Hinduism
Flood, G. D · 1996
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Developing and maintaining trust in work relationships
Lewicki, R. J., Bunker, B. B., et al · 1996
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Humans and automation: Use, misuse, disuse, abuse
Parasuraman, R., and Riley, V · 1997
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Principles of trust for mas: Cognitive anatomy, social importance, and quantification
Castelfranchi, C., and Falcone, R · 1998
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Trust in decision aids: A model and its training implications
Cohen, M. S., Parasuraman, R., and Freeman, J. T · 1998
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A behavioral approach to the rational choice theory of collective action: Presidential address, american political science association, 1997
Ostrom, E · 1998
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Not so different after all: A cross-discipline view of trust
Rousseau, D. M., Sitkin, S. B., Burt, R. S., and Camerer, C · 1998
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Level of automation effects on performance, situation awareness and workload in a dynamic control task
ENDSLEY, M. R., and KABER, D. B · 1999
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The belief-desire-intention model of agency
Georgeff, M., Pell, B., Pollack, M., Tambe, M., and Wooldridge, M · 1999
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Social trust: A cognitive approach
Falcone, R., and Castelfranchi, C · 2001
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Autonomy and trust in bioethics
O’neill, O · 2002
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Automation and human performance in aviation
Parasuraman, R., and Byrne, E. A · 2003
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Analysing the relationship between risk and trust
Jøsang, A., and Presti, S. L · 2004
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Trust in automation: Designing for appropriate reliance
Lee, J. D., and See, K. A · 2004
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Trust and etiquette in high-criticality automated systems
Parasuraman, R., and Miller, C. A · 2004
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How can trust be investigated? drawing lessons from past experience
Goudge, J., and Gilson, L · 2005
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Trust, untrust, distrust and mistrust–an exploration of the dark (er) side
Marsh, S., and Dibben, M. R · 2005
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The mechanics of trust: A framework for research and design
Riegelsberger, J., Sasse, M. A., and McCarthy, J. D · 2005
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Trust by design: information requirements for appropriate trust in automation
Duez, P. P., Zuliani, M. J., and Jamieson, G. A · 2006
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Under-reliance on the decision aid: A difference in calibration and attribution between self and aid
Van Dongen, K., and van Maanen, P.-P · 2006
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Measurement of trust in human-robot collaboration
Freedy, A., DeVisser, E., Weltman, G., and Coeyman, N · 2007
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Goal orientation dispositions and performance trajectories: The roles of supplementary and complementary situational inducements
Chen, G., and Mathieu, J. E · 2008
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Towards an empirically developed scale for system trust: Take two
Spain, R. D., Bustamante, E. A., and Bliss, J. P · 2008
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Improving reliability awareness to support appropriate trust and reliance on individual combat identification systems
Wang, L., Jamieson, G. A., and Hollands, J. G · 2008
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Trust and reliance on an automated combat identification system
Wang, L., Jamieson, G. A., and Hollands, J. G · 2009
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Trust theory: A socio-cognitive and computational model
Castelfranchi, C., and Falcone, R · 2010
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Trust calibration for automated decision aids
McBride, M., and Morgan, S · 2010
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A meta-analysis of factors affecting trust in human-robot interaction
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y., De Visser, E. J., and Parasuraman, R · 2011
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A model of human-robot trust: Theoretical model development
Sanders, T., Oleson, K. E., Billings, D. R., Chen, J. Y., and Hancock, P. A · 2011
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Cognition-based and affect-based trust as mediators of leader behavior influences on team performance
Schaubroeck, J., Lam, S. S., and Peng, A. C · 2011
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The world is not enough: Trust in cognitive agents
de Visser, E. J., Krueger, F., McKnight, P., Scheid, S., Smith, M., Chalk, S., and Parasuraman, R · 2012
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Best of both worlds: Design and evaluation of an adaptive delegation interface
de Visser, E., Kidwell, B., Payne, J., Lu, L., Parker, J., Brooks, N., Chabuk, T., Spriggs, S., Freedy, A., Scerri, P., and Parasuraman, R · 2013
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The development of trust and altruism during childhood
Evans, A. M., Athenstaedt, U., and Krueger, J. I · 2013
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Presenting system uncertainty in automotive uis for supporting trust calibration in autonomous driving
Helldin, T., Falkman, G., Riveiro, M., and Davidsson, S · 2013
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Robot confidence and trust alignment
Kaniarasu, P., Steinfeld, A., Desai, M., and Yanco, H · 2013
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Trust and innovation
Nooteboom, B · 2013
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Building appropriate trust in human-robot teams
Ososky, S., Schuster, D., Phillips, E., and Jentsch, F. G · 2013
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A design methodology for trust cue calibration in cognitive agents
de Visser, E. J., Cohen, M., Freedy, A., and Parasuraman, R · 2014
Cited alongside, same era.
Trust, distrust and commitment
Hawley, K · 2014
Cited alongside, same era.
Trust and belief: a preemptive reasons account
Keren, A · 2014
Cited alongside, same era.
Influence of cultural, organizational and automation factors on human-automation trust: A case study of auto-gcas engineers and developmental history
Niedober, D. J., Ho, N. T., Masequesmay, G., Koltai, K., Skoog, M., Cacanindin, A., Johnson, W., and Lyons, J. B · 2014
Cited alongside, same era.
Is distrust the negation of trust? the value of distrust in social media
Tang, J., Hu, X., and Liu, H · 2014
Cited alongside, same era.
Trust prediction via belief propagation
Zhang, R., and Mao, Y · 2014
The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency
Kraus, J., Scholz, D., Stiegemeier, D., and Baumann, M · 2020
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" why is’ chicago’deceptive?" towards building model-driven tutorials for humans
Lai, V., Liu, H., and Tan, C · 2020
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" how do i fool you?" manipulating user trust via misleading black box explanations
Lakkaraju, H., and Bastani, O · 2020
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Adaptive trust calibration for human-ai collaboration
Okamura, K., and Yamada, S · 2020
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Artificial intelligence and effective governance: A review, critique and research agenda
Sharma, G. D., Yadav, A., and Chopra, R · 2020
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Cited alongside, same era.
A survey on trust modeling
Cho, J.-H., Chan, K., and Adali, S · 2015
Cited alongside, same era.
Trust in automation: Integrating empirical evidence on factors that influence trust
Hoff, K. A., and Bashir, M · 2015
Cited alongside, same era.
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
Nguyen, A., Yosinski, J., and Clune, J · 2015
Cited alongside, same era.
A predictive model of driver response in an autonomous environment
Samuel, S., Horrey, W. J., and Fisher, D. L · 2015
Cited alongside, same era.
Two-component model of general trust: Predicting behavioral trust from attitudinal trust
Yamagishi, T., Akutsu, S., Cho, K., Inoue, Y., Li, Y., and Matsumoto, Y · 2015
Cited alongside, same era.
Vulnerability and trustworthiness: Polestars of professionalism in healthcare
Barnard, D · 2016
Cited alongside, same era.
Tomsett, R., Preece, A., Braines, D., Cerutti, F., Chakraborty, S., Srivastava, M., Pearson, G., and Kaplan, L · 2020
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The relationship between trust in ai and trustworthy machine learning technologies
Toreini, E., Aitken, M., Coopamootoo, K., Elliott, K., Zelaya, C. G., and Van Moorsel, A · 2020
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How do visual explanations foster end users’ appropriate trust in machine learning?
Yang, F., Huang, Z., Scholtz, J., and Arendt, D. L · 2020
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Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision making
Zhang, Y., Liao, Q. V., and Bellamy, R. K. E · 2020
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Trust dynamics and verbal assurances in human robot physical collaboration
Alhaji, B., Prilla, M., and Rausch, A · 2021
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An investigation of drivers’ dynamic situational trust in conditionally automated driving
Ayoub, J., Avetisyan, L., Makki, M., and Zhou, F · 2021
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Does the whole exceed its parts? the effect of ai explanations on complementary team performance
Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., and Weld, D · 2021
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To trust or to think: cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making
Buçinca, Z., Malaya, M. B., and Gajos, K. Z · 2021
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Automation error type and methods of communicating automation reliability affect trust and performance: An empirical study in the cyber domain
Chen, J., Mishler, S., and Hu, B · 2021
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Can robots earn our trust the same way humans do? a systematic exploration of competence, warmth, and anthropomorphism as determinants of trust development in hri
Christoforakos, L., Gallucci, A., Surmava-Große, T., Ullrich, D., and Diefenbach, S · 2021
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Trust miscalibration is sometimes necessary: An empirical study and a computational model
Collins, M. G., and Juvina, I · 2021
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Explainable active learning (xal) toward ai explanations as interfaces for machine teachers
Ghai, B., Liao, Q. V., Zhang, Y., Bellamy, R., and Mueller, K · 2021
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Using trust to determine user decision making & task outcome during a human-agent collaborative task
Herse, S., Vitale, J., Johnston, B., and Williams, M.-A · 2021
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Introducing smrtt: A structural equation model of multimodal real-time trust
Israelsen, B., Wu, P., Woodruff, K., Avdic-McIntire, G., Radlbeck, A., McLean, A., Highland, P. D., Schnell, T. M., and Javorsek, D. A · 2021
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Formalizing trust in artificial intelligence: Prerequisites, causes and goals of human trust in ai
Jacovi, A., Marasović, A., Miller, T., and Goldberg, Y · 2021
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Trust and anthropomorphism in tandem: the interrelated nature of automated agent appearance and reliability in trustworthiness perceptions
Jensen, T., Khan, M. M. H., Fahim, M. A. A., and Albayram, Y · 2021
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The impact of training on human–autonomy team communications and trust calibration
Johnson, C. J., Demir, M., McNeese, N. J., Gorman, J. C., Wolff, A. T., and Cooke, N. J · 2021
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Trust should correspond to trustworthiness: a formalization of appropriate mutual trust in human-agent teams
Jorge, C. C., Mehrotra, S., Tielman, M., and Jonker, C · 2021
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Adaptive cognitive mechanisms to maintain calibrated trust and reliance in automation
Lebiere, C., Blaha, L. M., Fallon, C. K., and Jefferson, B · 2021
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Understanding the effect of out-of-distribution examples and interactive explanations on human-ai decision making
Liu, H., Lai, V., and Tan, C · 2021
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Calibrating pedestrians’ trust in automated vehicles: does an intent display in an external hmi support trust calibration and safe crossing behavior?
M. Faas, S., Kraus, J., Schoenhals, A., and Baumann, M · 2021
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Modelling trust in human-ai interaction
Mehrotra, S · 2021
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Nudging through friction: An approach for calibrating trust in explainable ai
Naiseh, M., Al-Mansoori, R. S., Al-Thani, D., Jiang, N., and Ali, R · 2021
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Explainable recommendation: When design meets trust calibration
Naiseh, M., Al-Thani, D., Jiang, N., and Ali, R · 2021
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Transparency in hri: Trust and decision making in the face of robot errors
Nesset, B., Robb, D. A., Lopes, J., and Hastie, H · 2021
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The prisma 2020 statement: an updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al · 2021
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Manipulating and measuring model interpretability
Poursabzi-Sangdeh, F., Goldstein, D. G., Hofman, J. M., Wortman Vaughan, J. W., and Wallach, H · 2021
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Towards warranted trust: A model on the relation between actual and perceived system trustworthiness
Schlicker, N., and Langer, M · 2021
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Trustworthy artificial intelligence
Thiebes, S., Lins, S., and Sunyaev, A · 2021
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Designing for calibrated trust: Exploring the challenges in calibrating trust between users and autonomous vehicles
Valentine, D. C., Smit, I., and Kim, E · 2021
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How to evaluate trust in ai-assisted decision making? a survey of empirical methodologies
Vereschak, O., Bailly, G., and Caramiaux, B · 2021
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Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making
Wang, X., and Yin, M · 2021
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Building appropriate trust in human-ai interactions
Alizadeh, F., Vereschak, O., Pins, D., Stevens, G., Bailly, G., and Caramiaux, B · 2022
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Workshop on trust and reliance in ai-human teams (trait)
Bansal, G., Smith-Renner, A. M., Buçinca, Z., Wu, T., Holstein, K., Hullman, J., and Stumpf, S · 2022
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Human-agent teaming and trust calibration: a theoretical framework, configurable testbed, empirical illustration, and implications for the development of adaptive systems
Bobko, P., Hirshfield, L., Eloy, L., Spencer, C., Doherty, E., Driscoll, J., and Obolsky, H · 2022
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Detecting human trust calibration in automation: a convolutional neural network approach
Choo, S., and Nam, C. S · 2022
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How explainability contributes to trust in ai
Ferrario, A., and Loi, M · 2022
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Designing for responsible trust in ai systems: A communication perspective
Liao, Q. V., and Sundar, S. S · 2022
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Are we measuring trust correctly in explainability, interpretability, and transparency research?
Miller, T · 2022
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Empirical and philosophical reflections on trust
Pouryousefi, S., and Tallant, J · 2022
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Capable but amoral? comparing ai and human expert collaboration in ethical decision making
Tolmeijer, S., Christen, M., Kandul, S., Kneer, M., and Bernstein, A · 2022
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You complete me: Human-ai teams and complementary expertise
Zhang, Q., Lee, M. L., and Carter, S · 2022
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Apple · 2023
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Trusting automation: Designing for responsivity and resilience
Chiou, E. K., and Lee, J. D · 2023
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Ibm · 2023
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Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making
Ma, S., Lei, Y., Wang, X., Zheng, C., Shi, C., Yin, M., and Ma, X · 2023
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Integrity based explanations for fostering appropriate trust in ai agents
Mehrotra, S., Jorge, C. C., Jonker, C. M., and Tielman, M. L · 2023
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People + ai guidebook. pair.withgoogle.com/guidebook, 2019
PAIR, G · 2023
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Appropriate reliance on ai advice: Conceptualization and the effect of explanations
Schemmer, M., Kuehl, N., Benz, C., Bartos, A., and Satzger, G · 2023
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Ignore, trust, or negotiate: Understanding clinician acceptance of ai-based treatment recommendations in health care
Sivaraman, V., Bukowski, L. A., Levin, J., Kahn, J. M., and Perer, A · 2023
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Shaping a multidisciplinary understanding of team trust in human-ai teams: a theoretical framework
Ulfert, A.-S., Georganta, E., Centeio Jorge, C., Mehrotra, S., and Tielman, M · 2023
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Measuring and understanding trust calibrations for automated systems: A survey of the state-of-the-art and future directions
Wischnewski, M., Krämer, N., and Müller, E · 2023
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Harnessing biomedical literature to calibrate clinicians’ trust in ai decision support systems
Yang, Q., Hao, Y., Quan, K., Yang, S., Zhao, Y., Kuleshov, V., and Wang, F · 2023
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A mental model based theory of trust
Zahedi, Z., Sreedharan, S., and Kambhampati, S · 2023
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