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From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video [article]

Junwei Liang
2021 arXiv   pre-print
Deciphering human behaviors to predict their future paths/trajectories and what they would do from videos is important in these applications.  ...  However, human trajectory prediction still remains a challenging task, as scene semantics and human intent are difficult to model.  ...  For example, trajectory prediction in basketball or soccer can be used to help coaches with their decision makings.  ... 
arXiv:2011.10670v3 fatcat:mlom5zqk6jdvjndcsfwimpj7xu

Machine learning predicts human prospective decision making [article]

Ning Mei, Sean Rankine, Einar Olafsson, David Soto
2019 bioRxiv   pre-print
We sought to investigate the factors that determine this sort of prospective decision making.  ...  Using standard machine learning classifiers we found that the current prospective decision could be predicted from information concerning task-correctness, stimulus visibility and response confidence from  ...  We sought to investigate the factors that determine this sort of prospective decision making.  ... 
doi:10.1101/607069 fatcat:ovji4r4l3rbn7ateq23qn4j5yu

Predicting human decision making in psychological tasks with recurrent neural networks [article]

Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
2021 arXiv   pre-print
This makes predicting human decision making challenging to be treated agnostically to the underlying psychological mechanisms.  ...  We propose to use a recurrent neural network architecture based on long short-term memory networks (LSTM) to predict the time series of the actions taken by the human subjects at each step of their decision  ...  While offering discriminative and interpretable features in characterizing the human decision making process, these reinforcement learning models exhibit limited capability to predict the human action  ... 
arXiv:2010.11413v2 fatcat:eaqsjldbn5av5ow635p5buf66m

Algorithms, human decision-making and predictive policing

Peter J. Phillips, Gabriela Pohl
2021 SN Social Sciences  
Such awareness may help to mitigate some of the recognised weaknesses with this emerging technology and, also, help to identify those aspects of human decision-making that can be augmented positively by  ...  Problem space delineation is one pathway through which human decision-making processes may enter and shape algorithm design, construction, and application.  ...  We know that human decision-making will produce systematic departures from optimal prioritisation. Algorithms do not do away with human decision-making.  ... 
doi:10.1007/s43545-021-00109-6 fatcat:aegatdiambdihj6isjpnw2xgru

Prediction in Human Decision Making: A Modeling Approach

Rezvan Kianifar, Farzad Towhidkhah, Shahriar Gharibzadeh
2014 Frontiers in biomedical technologies  
Purpose: this study, we have addressed the prediction aspect of human decision making from neurological, experimental and modeling points of view.  ...  Methods: We used a predictive reinforcement learning framework to simulate the human decision making behavior, concentrating on the role of frontal brain regions which are responsible for predictive control  ...  In this study, we have addressed the prediction aspect of human decision making from neurological, experimental and modeling points of view.  ... 
doaj:115e17260aed48e28927dfedac8b55ef fatcat:kuonoyknlrcd7fn5zxtkxz6bjq

Predicting decision-making in the future: Human versus Machine [article]

Hoe Sung Ryu, Uijong Ju, Christian Wallraven
2021 arXiv   pre-print
Deep neural networks (DNNs) have become remarkably successful in data prediction, and have even been used to predict future actions based on limited input.  ...  This raises the question: do these systems actually "understand" the event similar to humans? Here, we address this issue using videos taken from an accident situation in a driving simulation.  ...  Experiment setup Data: To compare the prediction of decision-making between humans and DNNs, we used the original, in-car videos from [18] -both humans and DNNs received the same data and the same task  ... 
arXiv:2110.04465v1 fatcat:7w64un2rvfg3xoexr65dbko7ha

A Computational Model of Affective Moral Decision Making That Predicts Human Criminal Choices [chapter]

Matthijs A. Pontier, Jean-Louis Van Gelder, Reinout E. de Vries
2013 Lecture Notes in Computer Science  
In the present paper we show that a computational model of affective moral decision making can fit human behavior data obtained from an empirical study on criminal decision making.  ...  Using the parameter settings from the initial sample, we were able to predict criminal choices of participants in the holdout sample. The prediction errors of the full model were fairly low.  ...  We show that the models can be used to reproduce and predict human criminal decision making.  ... 
doi:10.1007/978-3-642-44927-7_40 fatcat:s533vumjefgjfl4gvhpd7vmsfy

Automated Decision-Making and Environmental Impact Assessments: Decisions, Data Analysis and Predictions

Zoe Nay, Anna Huggins, Felicity Deane
2021 Law, Technology and Humans  
Instead of fully or partially automating EIA decisions, data-driven decision-making can be more appropriately deployed to enhance data analysis and predictions to optimise EIA decision-making processes  ...  analysis and predictions to better inform EIA processes.  ...  Section 5 proposes that data-driven decision-making can be more appropriately deployed to optimise data, analysis and predictions to inform EIA decision-making processes.  ... 
doi:10.5204/lthj.1846 fatcat:gkage53oibewbllyjsz7ko6wzm

Positive reward prediction errors during decision-making strengthen memory encoding

Anthony I. Jang, Matthew R. Nassar, Daniel G. Dillon, Michael J. Frank
2019 Nature Human Behaviour  
Here we developed an incidental memory paradigm to (i) estimate the influence of reward prediction errors on the formation of episodic memories, (ii) dissociate this influence from surprise and uncertainty  ...  Dopamine is thought to provide reward prediction error signals to temporal lobe memory systems, but the role of these signals in episodic memory has not been fully characterized.  ...  We would also like to thank Julie Helmers and Don Rogers for their help in setting up and collecting data through MTurk.  ... 
doi:10.1038/s41562-019-0597-3 pmid:31061490 pmcid:PMC6625913 fatcat:wchmhv3eofgzlds6jdxmbls6hy

Six Predictions about the Decision Making of Animal and Human Groups

David J.T. Sumpter, Natalia Zabzina, Stamatios C. Nicolis
2012 Managerial and Decision Economics  
We give six tested or testable predictions arising from models: (i) group decisions involve both true and false cascades; (ii) a small number of leaders can heavily influence a decision; (iii) individuals  ...  We discuss our approach in the context of human organisations.  ...  MODEL PREDICTIONS In the previous section, we presented three dynamic models of decision making and provided background on their relevance to human and animal decision making.  ... 
doi:10.1002/mde.2553 fatcat:dzdgmzeferedfcoqnr4fyaxspq

Buildup of Choice-Predictive Activity in Human Motor Cortex during Perceptual Decision Making

Tobias H. Donner, Markus Siegel, Pascal Fries, Andreas K. Engel
2009 Current Biology  
This study was supported by grants from the German  ...  Thus, as in monkeys [28] , the temporal evolution of choice-predictive activity in human motor cortical areas provides a window into the dynamics of decision making.  ...  Together with previous studies [2, 26, [31] [32] [33] 36] , this links human neuroimaging studies of perceptual decision making to modeling and monkey neurophysiology.  ... 
doi:10.1016/j.cub.2009.07.066 pmid:19747828 fatcat:dztxgsnj2racxn6xolvupp5kpq

An ethical analysis of hydrometeorological prediction and decision making: The case of the 1997 Red River flood

2007 Environmental Hazards: Human and Policy Dimensions  
Weather, climate, and flood predictions are incorporated into human decisions in a wide variety of situations, including decisions related to hazardous hydrometeorological events.  ...  The results of the analysis highlight issues related to forecast generation, communication of forecast meaning and uncertainty, responsibility for the use of forecasts in decision making, and trade-offs  ...  and related decision making.  ... 
doi:10.1016/j.envhaz.2007.09.004 fatcat:hnc7ldcfznhr3g46wiaeeppswu

Dedicated Representation of Others in the Macaque Frontal Cortex: From Action Monitoring and Prediction to Outcome Evaluation

Lorenzo Ferrucci, Simon Nougaret, Rossella Falcone, Rossella Cirillo, Francesco Ceccarelli, Aldo Genovesio
2021 Cerebral Cortex  
Finally, we discuss how the self–other distinction can occur in different domains to process different aspects of social information: the observation and prediction of others' actions and the monitoring  ...  In social interactions, the self–other distinction is fundamental for discriminating one's own actions, intentions, and outcomes from those that originate in the external world.  ...  Decision-making in everyday life is in part based on our ability to learn by reinforcement and associate the outcome of an action with the action itself.  ... 
doi:10.1093/cercor/bhab253 fatcat:e3ft4nzsw5authzssemwizegbi

Adaptive Robot Language Tutoring Based on Bayesian Knowledge Tracing and Predictive Decision-Making

Thorsten Schodde, Kirsten Bergmann, Stefan Kopp
2017 Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction - HRI '17  
Being implemented in a robot language tutor, the model enables the robot tutor to trace the learner's knowledge and to decide which skill to teach next and how to address it in a game-like tutoring interaction  ...  The approach is based on a dynamic probabilistic model that represents the interrelations between the learner's skills, her observed behaviour in tutoring interaction, and the tutoring action taken by  ...  Decision-Making The extended BKT model is used to decide which tutoring action the robot should take next.  ... 
doi:10.1145/2909824.3020222 dblp:conf/hri/SchoddeBK17 fatcat:vism2vgfojae5krlodxj2n42ai

Dorsal Anterior Cingulate Cortices Differentially Lateralize Prediction Errors and Outcome Valence in a Decision-Making Task

Alexander R. Weiss, Martin J. Gillies, Marios G. Philiastides, Matthew A. Apps, Miles A. Whittington, James J. FitzGerald, Sandra G. Boccard, Tipu Z. Aziz, Alexander L. Green
2018 Frontiers in Human Neuroscience  
However, direct electrophysiological recordings from human dACC to validate these separate, but integrated, dimensions have not been previously performed.  ...  in the dACC of three human subjects to test this hypothesis.  ...  Their theory suggests the influence of decision-making factors such as difficulty or conflict are secondary to and derived from the dACC's role in evaluating behavioral change.  ... 
doi:10.3389/fnhum.2018.00203 pmid:29872384 pmcid:PMC5972193 fatcat:37lekahrd5gapdr7vqiggkhcqe
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