AIMC Topic: Intention

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Human-agent co-adaptation using error-related potentials.

Journal of neural engineering Sep 11, 2018
OBJECTIVE: Error-related potentials (ErrP) have been proposed as an intuitive feedback signal decoded from the ongoing electroencephalogram (EEG) of a human observer for improving human-robot interaction (HRI). While recent demonstrations of this app...
Male Robotics Electroencephalography Intention Humans Female Adult Evoked Potentials Interpersonal Relations Fixation, Ocular Feedback, Psychological Calibration Brain-Computer Interfaces Adaptation, Psychological Motor Skills
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Factors influencing unsafe behaviors: A supervised learning approach.

Accident; analysis and prevention Jun 18, 2018
Despite its potential, the use of machine learning in safety studies had been limited. Considering machine learning's advantage in predictive accuracy, this study used a supervised learning approach to evaluate the relative importance of different co...
Social Norms Surveys and Questionnaires ROC Curve Logistic Models Decision Trees Supervised Machine Learning Humans Intention Construction Industry Risk-Taking
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Psychosocial factors associated with intended use of automated vehicles: A simulated driving study.

Accident; analysis and prevention Apr 6, 2018
This study applied the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to assess drivers' intended use of automated vehicles (AVs) after undertaking a simulated driving task. In addition, this study explored the potential f...
Humans Artificial Intelligence Male Trust Middle Aged Surveys and Questionnaires Technology Computer Simulation Female Adult Attitude Motor Vehicles Psychological Theory Intention Automobile Driving Automation
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Towards social autonomous vehicles: Efficient collision avoidance scheme using Richardson's arms race model.

PloS one Oct 17, 2017
This paper presents the concept of a social autonomous agent to conceptualize such Autonomous Vehicles (AVs), which interacts with other AVs using social manners similar to human behavior. The presented AVs also have the capability of predicting inte...
Imitative Behavior Systems Analysis Accidents, Traffic Intention Automobile Driving Models, Psychological Humans Computer Simulation Machine Learning Automobiles Robotics
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On-Board Detection of Pedestrian Intentions.

Sensors (Basel, Switzerland) Sep 23, 2017
Avoiding vehicle-to-pedestrian crashes is a critical requirement for nowadays advanced driver assistant systems (ADAS) and future self-driving vehicles. Accordingly, detecting pedestrians from raw sensor data has a history of more than 15 years of re...
Intention Automobile Driving Walking Pedestrians Accidents, Traffic Humans Artificial Intelligence
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The behavioral and neural basis of empathic blame.

Scientific reports Jul 12, 2017
Mature moral judgments rely both on a perpetrator's intent to cause harm, and also on the actual harm caused-even when unintended. Much prior research asks how intent information is represented neurally, but little asks how even unintended harms infl...
Magnetic Resonance Imaging Intention Morals Judgment Empathy Behavioral Symptoms Young Adult Adult Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Female
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Turn Intent Detection For Control of a Lower Limb Prosthesis.

IEEE transactions on bio-medical engineering Jun 28, 2017
OBJECTIVE: An adaptable lower limb prosthesis with variable stiffness in the transverse plane requires a control method to effect changes in real time during amputee turning. This study aimed to identify classification algorithms that can accurately ...
Support Vector Machine Signal Processing, Computer-Assisted Electromyography Amputees Walking Artificial Limbs Intention Leg Aged Adult Humans Male Machine Learning Middle Aged
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Understanding human intention by connecting perception and action learning in artificial agents.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2017
To develop an advanced human-robot interaction system, it is important to first understand how human beings learn to perceive, think, and act in an ever-changing world. In this paper, we propose an intention understanding system that uses an Object A...
Humans Neural Networks, Computer Support Vector Machine Posture Intention Biometric Identification Movement
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Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012.

Public health reports (Washington, D.C. : 1974) Aug 22, 2016
OBJECTIVE: The purpose of this study was to compare the rates of traumatic injury among five racial/ethnic groups in Arizona and to identify which mechanisms and intents of traumatic injury were predominant in each group.
Alcohol Drinking Cause of Death Health Status Disparities Humans Racial Groups Arizona Retrospective Studies Wounds and Injuries Intention Residence Characteristics Ethnicity
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A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 17, 2016
Motor imagery classification is an important topic in brain-computer interface (BCI) research that enables the recognition of a subject's intension to, e.g., implement prosthesis control. The brain dynamics of motor imagery are usually measured by el...
Electroencephalography Humans Signal Processing, Computer-Assisted Motor Cortex Neural Networks, Computer Intention Reproducibility of Results Brain-Computer Interfaces Imagination Machine Learning Pattern Recognition, Automated Sensitivity and Specificity Movement Algorithms Brain Mapping Fourier Analysis Evoked Potentials, Motor
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