| scholarly article | Q13442814 |
| review article | Q7318358 |
| P2093 | author name string | Jamie R Lukos | |
| Amar R Marathe | |||
| Jason S Metcalfe | |||
| Kim Drnec | |||
| P2860 | cites work | Not so Fast. On Some Bold Neuroscientific Claims Concerning Human Agency | Q63090112 |
| Automation failures on tasks easily performed by operators undermine trust in automated aids | Q80047835 | ||
| Oscillatory activity and phase-amplitude coupling in the human medial frontal cortex during decision making | Q81354852 | ||
| Evidence accumulation and the moment of recognition: dissociating perceptual recognition processes using fMRI | Q81542276 | ||
| Decision support aids with anthropomorphic characteristics influence trust and performance in younger and older adults | Q84576341 | ||
| I trust it, but I don't know why: effects of implicit attitudes toward automation on trust in an automated system | Q87049054 | ||
| Measures of reliance and compliance in aided visual scanning | Q87626813 | ||
| The role of trust in automation reliance | Q102362859 | ||
| Saccades, salience and attention: the role of the lateral intraparietal area in visual behavior | Q24596072 | ||
| High-frequency oscillations in distributed neural networks reveal the dynamics of human decision making. | Q24657016 | ||
| Cross-species studies of orbitofrontal cortex and value-based decision-making | Q26866264 | ||
| Neural correlates of decisions. | Q30330317 | ||
| Trust, self-confidence, and operators' adaptation to automation | Q30455685 | ||
| Human probability matching behaviour in response to alarms of varying reliability | Q30464266 | ||
| Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation | Q30464274 | ||
| Similarities and differences between human–human and human–automation trust: an integrative review | Q30465106 | ||
| On the Independence of Compliance and Reliance: Are Automation False Alarms Worse Than Misses? | Q30476690 | ||
| Humans and Automation: Use, Misuse, Disuse, Abuse | Q30476915 | ||
| Trust in Automation: Designing for Appropriate Reliance | Q30476919 | ||
| Perceptual decision neurosciences - a model-based review | Q30839899 | ||
| The neural systems that mediate human perceptual decision making | Q31154754 | ||
| Integration of sensory and reward information during perceptual decision-making in lateral intraparietal cortex (LIP) of the macaque monkey | Q33533303 | ||
| The neural correlates of subjective value during intertemporal choice | Q33752768 | ||
| Cognitive control signals for neural prosthetics. | Q33979774 | ||
| Trust, control strategies and allocation of function in human-machine systems | Q34323289 | ||
| Predicting free choices for abstract intentions | Q34333945 | ||
| Automation bias: empirical results assessing influencing factors. | Q34407543 | ||
| How the brain integrates costs and benefits during decision making | Q34411517 | ||
| Decoding and predicting intentions | Q34628452 | ||
| The neural basis of decision making. | Q34643563 | ||
| Unconscious determinants of free decisions in the human brain | Q34769677 | ||
| Representation of confidence associated with a decision by neurons in the parietal cortex. | Q34979761 | ||
| A framework for studying the neurobiology of value-based decision making | Q35095683 | ||
| Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions | Q35170937 | ||
| Neuroeconomics: the consilience of brain and decision | Q35919156 | ||
| The cognitive neuroscience of human decision making: a review and conceptual framework | Q36011365 | ||
| Designing effective human-automation-plant interfaces: a control-theoretic perspective | Q36165058 | ||
| Decision making, the P3, and the locus coeruleus-norepinephrine system | Q36214791 | ||
| Optimal decision-making theories: linking neurobiology with behaviour | Q36727328 | ||
| Determining a role for ventromedial prefrontal cortex in encoding action-based value signals during reward-related decision making | Q37060609 | ||
| Neural computations associated with goal-directed choice | Q37719136 | ||
| Complacency and bias in human use of automation: an attentional integration | Q37809526 | ||
| A meta-analysis of factors affecting trust in human-robot interaction | Q37951968 | ||
| Not all trust is created equal: dispositional and history-based trust in human-automation interactions | Q40085359 | ||
| Perceptions of moral character modulate the neural systems of reward during the trust game | Q40381626 | ||
| Conceptual issues in the study of dynamic hazard warnings | Q40483901 | ||
| Supporting attention allocation in multitask environments: effects of likelihood alarm systems on trust, behavior, and performance | Q41711243 | ||
| Why better operators receive worse warnings | Q42037929 | ||
| Effects of warning validity and proximity on responses to warnings | Q42041159 | ||
| Using system-wide trust theory to make predictions about dependence on four diagnostic aids | Q44523693 | ||
| The perceived utility of human and automated aids in a visual detection task | Q44906303 | ||
| The Role of Trust as a Mediator Between System Characteristics and Response Behaviors | Q45012844 | ||
| The decision value computations in the vmPFC and striatum use a relative value code that is guided by visual attention. | Q45937552 | ||
| Trust in smart systems: sharing driving goals and giving information to increase trustworthiness and acceptability of smart systems in cars. | Q45953999 | ||
| Dissociating the role of the orbitofrontal cortex and the striatum in the computation of goal values and prediction errors. | Q46085721 | ||
| Preconscious prediction of a driver's decision using intracranial recordings | Q46145701 | ||
| Visual fixations and the computation and comparison of value in simple choice | Q46166191 | ||
| Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex | Q46446853 | ||
| Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior | Q46471162 | ||
| Trust and reliance on an automated combat identification system | Q47812449 | ||
| Neural correlates of decision variables in parietal cortex | Q48152315 | ||
| Reading hidden intentions in the human brain | Q48277091 | ||
| Tonic activity level in the right prefrontal cortex predicts individuals' risk taking | Q48303042 | ||
| Dissociable systems for gain- and loss-related value predictions and errors of prediction in the human brain. | Q48421808 | ||
| Right frontal cortex generates reward-related theta-band oscillatory activity. | Q48527822 | ||
| Visual and anticipatory bias in three cortical eye fields of the monkey during an adaptive decision-making task. | Q48571900 | ||
| Frontal oscillatory dynamics predict feedback learning and action adjustment. | Q48966732 | ||
| Automation-induced monitoring inefficiency: role of display location. | Q49115405 | ||
| Decision-making and response strategies in interaction with alarms: the impact of alarm reliability, availability of alarm validity information and workload. | Q50195287 | ||
| Affective processes in human-automation interactions. | Q50610479 | ||
| Brain function with complex decision making using electroencephalography. | Q51536964 | ||
| Cortical electrophysiological network dynamics of feedback learning. | Q51847701 | ||
| A model for types and levels of human interaction with automation. | Q51961234 | ||
| Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. | Q52166127 | ||
| Causal role of dorsolateral prefrontal cortex in human perceptual decision making. | Q52895127 | ||
| Automation bias and errors: are crews better than individuals? | Q52934354 | ||
| Examining single- and multiple-process theories of trust in automation. | Q53059263 | ||
| Human-human reliance in the context of automation. | Q53096994 | ||
| Unconscious cerebral initiative and the role of conscious will in voluntary action | Q56618921 | ||
| Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle | Q57275419 | ||
| Can computers be teammates? | Q57318193 | ||
| Misuse of automated decision aids: Complacency, automation bias and the impact of training experience | Q59443233 | ||
| Does automation bias decision-making? | Q60047317 | ||
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | automation | Q184199 |
| cognitive neuroscience | Q1138951 | ||
| P304 | page(s) | 290 | |
| P577 | publication date | 2016-01-01 | |
| P1433 | published in | Frontiers in Human Neuroscience | Q15727054 |
| P1476 | title | From Trust in Automation to Decision Neuroscience: Applying Cognitive Neuroscience Methods to Understand and Improve Interaction Decisions Involved in Human Automation Interaction | |
| P478 | volume | 10 |
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