16,816 Hits in 7.2 sec


2004 International journal of pattern recognition and artificial intelligence  
The algorithm models the semantically driven interpretation that we hypothesize to occur between the mind and visual cortex in the human brain.  ...  The basic idea is that oriented Gabor sub-bands are used to model grating cells in the mammalian visual system. These sub-bands are used during the search for a path to a marker in an image.  ...  Carl Weiman for numerous useful discussions during the development of this work.  ... 
doi:10.1142/s0218001404003381 fatcat:maodlrsxvzfnnh3beprmip5x6e

Web-based Evaluation of Information Visualization

Kawa Nazemi, Dirk Burkhardt, David Hoppe, Mariam Nazemi, Jörn Kohlhammer
2015 Procedia Manufacturing  
Information visualization is strongly related to human perception, human behavior, and in particular human interaction.  ...  The human-centered characteristic of information visualization requires valid and proper user studies that improve the system or validate their benefits.  ...  They discovered an interaction between the task and the visualization regarding the relation between perception speed and task-completion-time [32] .  ... 
doi:10.1016/j.promfg.2015.07.718 fatcat:iecwrimqlnbcfa7j3q5g6cmlwa

Time Pressure, Memory, and Task Knowledge Facilitate the Opportunism Heuristic in Dynamic Tasks

Daniel Gartenberg, Leonard A. Breslow, J. Malcolm McCurry, J. Gregory Trafton
2012 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
of these strategies from interacting or competing with one another.  ...  In order to determine the impact of time pressure on strategy use, we manipulated the speed of the vehicles.  ...  Moreover, in support of our hypothesis, there was an interaction between memory trace and type of object (safe vs. needing attention), F(1, 30) = 4.57, p < .05, η 2 = .15.  ... 
doi:10.1177/1071181312561214 fatcat:57lpsa5etbhkzevpygbed2q5j4

BCI Control of Heuristic Search Algorithms

Marc Cavazza, Gabor Aranyi, Fred Charles
2017 Frontiers in Neuroinformatics  
In this article, we introduce a basic mechanism for the control of heuristic search through fNIRS-based BCI.  ...  In both experiments, subjects were able to speed up the computation of a solution through a reduction of search space in WA * .  ...  tradeoff and speeding up the reach for a solution.  ... 
doi:10.3389/fninf.2017.00006 pmid:28197092 pmcid:PMC5281622 fatcat:6743v5jbbvhjhlp5xlfhzfvb2u

Navigation for digital actors based on synthetic vision, memory, and learning

Hansrudi Noser, Olivier Renault, Daniel Thalmann, Nadia Magnenat Thalmann
1995 Computers & graphics  
The local navigation model uses the direct input information from his visual environment to reach goals or subgoals and to avoid unexpected obstacles.  ...  path searching, obstacle avoidance, and internal knowledge representation with learning and forgetting characteristics.  ...  Acknowledgments The authors are grateful to Hans Martin Werner and Russell Turner for reviewing the English text. This research was sponsored by the Swiss National Foundation for Scientific Research.  ... 
doi:10.1016/0097-8493(94)00117-h fatcat:zpeuss766fh2rbnldupg6h5cty

Layout Design of Human-Machine Interaction Interface of Cabin Based on Cognitive Ergonomics and GA-ACA

Li Deng, Guohua Wang, Suihuai Yu
2016 Computational Intelligence and Neuroscience  
For validation, the human-machine interaction interface layout design of drilling rig control room was taken as an example, and the optimization result showed the feasibility and effectiveness of the proposed  ...  Again, the expression form of fitness function, pheromone, and heuristic information for the layout optimization of cabin was studied.  ...  Considering people's information organization law, visual search law, user memory characteristics, and so on, the human-machine interaction interface should conform to operators' cognitive ability for  ... 
doi:10.1155/2016/1032139 pmid:26884745 pmcid:PMC4739460 fatcat:ljm6xxy36ffthokb5o3k4c7wbm

A Model of Fast Concept Inference with Object-Factorized Cognitive Programs [article]

Daniel P. Sawyer, Miguel Lázaro-Gredilla, Dileep George
2020 arXiv   pre-print
To circumvent this bottleneck, we present an algorithm that emulates the human cognitive heuristics of object factorization and sub-goaling, allowing human-level inference speed, improving accuracy, and  ...  However, this model used a naive search algorithm that required 30 minutes to discover a single concept, and became intractable for programs with more than 20 instructions.  ...  Rather than basic arithmetic and control-flow functions, the VCC instructions implement fundamental cognitive functions such as parsing a visual scene, directing gaze and attention, imagining new objects  ... 
arXiv:2002.04021v2 fatcat:u6spfedgi5fzbjkrrycmbwsapy

Seeing Beyond Salience and Guidance: The Role of Bias and Decision in Visual Search

Alasdair D. F. Clarke, Anna Nowakowska, Amelia R. Hunt
2019 Vision  
Visual search is a popular tool for studying a range of questions about perception and attention, thanks to the ease with which the basic paradigm can be controlled and manipulated.  ...  We also highlight the neglected potential for variability, both within and between searchers, to contribute to our understanding of visual search.  ...  Thus, the historical distinction between "bottom-up" and "top-down" control of attention has begun falling out of favour, for similar reasons as for the distinction between the relative contribution of  ... 
doi:10.3390/vision3030046 pmid:31735847 pmcid:PMC6802808 fatcat:elq3x4pzt5d4bihmru7bcr6fqe

Building and Applying a Human Cognition Model for Visual Analytics

Tera Marie Green, William Ribarsky, Brian Fisher
2009 Information Visualization  
Based on this approach, we suggest guidelines for the development of visual interfaces that better integrate complementary capabilities of humans and computers.  ...  Success of the visual analytics approach will require us to develop new visualization models that predict how computational processes might facilitate human insight and guide the flow of human reasoning  ...  Department of Homeland Security Program, under the auspices of the SouthEast Regional Visualization and Analytics Center. Special thanks to Benjamin F. Green for helpful insights.  ... 
doi:10.1057/ivs.2008.28 fatcat:btrlvcwxajbqnfl4y3uy3haaty

Out of sight, out of mind: Matching bias underlies confirmatory visual search

Jason Rajsic, J. Eric T. Taylor, Jay Pratt
2016 Attention, Perception & Psychophysics  
In this study, we compared the ability of concrete and abstract visual templates to guide attention using the visual confirmation bias.  ...  Together, these results show that the confirmation bias likely results from a matching heuristic, such that visual codes involved in representing the search goal prioritize stimuli possessing these features  ...  We would like to thank Nafisa Bhuiyan for her help with data collection.  ... 
doi:10.3758/s13414-016-1259-4 pmid:28000157 fatcat:oaek6yfoercmtjkjinkdepoy4i

ViA: a perceptual visualization assistant

Chris G. Healey, Robert St. Amant, Mahmoud S. Elhaddad, William R. Oliver
2000 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making  
We have approached this problem by studying what is known about the control of human visual attention.  ...  By harnessing the low-level human visual system, we can support our dual goals of rapid and accurate visualization.  ...  speed and direction, and precipitation.  ... 
doi:10.1117/12.384859 fatcat:xnobw5qy3zb7po73cxzyg5zcb4

Towards Autonomous Synthetic Actors [chapter]

Hansrudi Noser, Daniel Thalmann
1998 Cyberworlds  
The local navigation model uses the direct input information from his visual environment to reach goals or subgoals and to avoid unexpected obstacles.  ...  With such a system, we should be able to create simulations of situations such as virtual humans moving in a complex environment they may know and recognize, or playing ball games based on their visual  ...  The authors are grateful to Olivier Renault for the development of local navigation and Zhyang Huang and Mrs. Japon for the tennis sequence.  ... 
doi:10.1007/978-4-431-67941-7_9 fatcat:2okokefxyzht7n2v47c5eerv5y

JDL level 5 fusion model: user refinement issues and applications in group tracking

Erik P. Blasch, Susan Plano, Ivan Kadar
2002 Signal Processing, Sensor Fusion, and Target Recognition XI  
We seek to address issues for designing a fusion system which supports a user: trust, workload, attention and situation awareness.  ...  However, the model is only for automatic processing of a machine and does not account for human processing.  ...  Control of Visual Attention Control can be top-down (goal driven) or bottom-up (stimulus driven).  ... 
doi:10.1117/12.477612 fatcat:xq4bktacnfatbizbyghbsp2gom

The role of uncertainty and reward on eye movements in a virtual driving task

B. T. Sullivan, L. Johnson, C. A. Rothkopf, D. Ballard, M. Hayhoe
2012 Journal of Vision  
This lends qualitative support for the primary variables controlling gaze allocation proposed in the Sprague and Ballard model.  ...  The interaction observed appears to be an example of a simple mechanism whereby the reduction of visual uncertainty is gated by behavioral relevance.  ...  Acknowledgments Thanks to Dmitry Kit and John Stone for their work on the automated gaze analysis software. This work was supported by NIH Grants EY05729 and EY019174. Constantin A. Rothkopf  ... 
doi:10.1167/12.13.19 pmid:23262151 pmcid:PMC3587015 fatcat:3lwxpb3zsbawhaj7hd34pn7wna

Computational Rationality as a Theory of Interaction

Antti Oulasvirta, Jussi P. P. Jokinen, Andrew Howes
2022 CHI Conference on Human Factors in Computing Systems  
CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models; User models.  ...  The paper reviews the theoretical commitments and emerging applications in HCI, and it concludes by outlining a research agenda for future work.  ...  ACKNOWLEDGMENTS This work was funded by the Finnish Center for AI and Academy of Finland ("BAD" and "Human Automata").  ... 
doi:10.1145/3491102.3517739 fatcat:vshfq2nzxngbrnpymhkprwmjkm
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