7,825 research outputs found

    Change blindness: eradication of gestalt strategies

    Get PDF
    Arrays of eight, texture-defined rectangles were used as stimuli in a one-shot change blindness (CB) task where there was a 50% chance that one rectangle would change orientation between two successive presentations separated by an interval. CB was eliminated by cueing the target rectangle in the first stimulus, reduced by cueing in the interval and unaffected by cueing in the second presentation. This supports the idea that a representation was formed that persisted through the interval before being 'overwritten' by the second presentation (Landman et al, 2003 Vision Research 43149–164]. Another possibility is that participants used some kind of grouping or Gestalt strategy. To test this we changed the spatial position of the rectangles in the second presentation by shifting them along imaginary spokes (by ±1 degree) emanating from the central fixation point. There was no significant difference seen in performance between this and the standard task [F(1,4)=2.565, p=0.185]. This may suggest two things: (i) Gestalt grouping is not used as a strategy in these tasks, and (ii) it gives further weight to the argument that objects may be stored and retrieved from a pre-attentional store during this task

    The visual preferences for forest regeneration and field afforestation : four case studies in Finland

    Get PDF
    The overall aim of this dissertation was to study the public's preferences for forest regeneration fellings and field afforestations, as well as to find out the relations of these preferences to landscape management instructions, to ecological healthiness, and to the contemporary theories for predicting landscape preferences. This dissertation includes four case studies in Finland, each based on the visualization of management options and surveys. Guidelines for improving the visual quality of forest regeneration and field afforestation are given based on the case studies. The results show that forest regeneration can be connected to positive images and memories when the regeneration area is small and some time has passed since the felling. Preferences may not depend only on the management alternative itself but also on the viewing distance, viewing point, and the scene in which the management options are implemented. The current Finnish forest landscape management guidelines as well as the ecological healthiness of the studied options are to a large extent compatible with the public's preferences. However, there are some discrepancies. For example, the landscape management instructions as well as ecological hypotheses suggest that the retention trees need to be left in groups, whereas people usually prefer individually located retention trees to those trees in groups. Information and psycho-evolutionary theories provide some possible explanations for people's preferences for forest regeneration and field afforestation, but the results cannot be consistently explained by these theories. The preferences of the different stakeholder groups were very similar. However, the preference ratings of the groups that make their living from forest - forest owners and forest professionals - slightly differed from those of the others. These results provide support for the assumptions that preferences are largely consistent at least within one nation, but that knowledge and a reference group may also influence preferences.VÀitöskirjassa tutkittiin ihmisten maisemapreferenssejÀ (maisemallisia arvostuksia) metsÀnuudistamishakkuiden ja pellonmetsitysten suhteen sekÀ analysoitiin nÀiden preferenssien yhteyksiÀ maisemanhoito-ohjeisiin, vaihtoehtojen ekologiseen terveyteen ja preferenssejÀ ennustaviin teorioihin. VÀitöskirja sisÀltÀÀ neljÀ tapaustutkimusta, jotka perustuvat hoitovaihtoehtojen visualisointiin ja kyselytutkimuksiin. Tapaustutkimusten pohjalta annetaan ohjeita siitÀ, kuinka uudistushakkuiden ja pellonmetsitysten visuaalista laatua voidaan parantaa. VÀitöskirjan tulokset osoittavat, ettÀ uudistamishakkuut voivat herÀttÀÀ myös myönteisiÀ mielikuvia ja muistoja, jos uudistusala on pieni ja hakkuun vÀlittömÀt jÀljet ovat jo peittyneet. Preferensseihin vaikuttaa hoitovaihtoehdon lisÀksi mm. katseluetÀisyys, katselupiste ja ympÀristö, jossa vaihtoehto on toteutettu. Eri viiteryhmien (metsÀammattilaiset, pÀÀkaupunkiseudun asukkaat, ympÀristönsuojelijat, tutkimusalueiden matkailijat, paikalliset asukkaat sekÀ metsÀnomistajat) maisemapreferenssit olivat hyvin samankaltaisia. Kuitenkin ne ryhmÀt, jotka saavat ainakin osan elannostaan metsÀstÀ - metsÀnomistajat ja metsÀammattilaiset - pitivÀt metsÀnhakkuita esittÀvistÀ kuvista hieman enemmÀn kuin muut ryhmÀt. NÀmÀ tulokset tukevat oletusta, ettÀ maisemapreferenssit ovat laajalti yhtenevÀisiÀ ainakin yhden kansan tai kulttuurin keskuudessa, vaikka myös viiteryhmÀ saattaa vaikuttaa preferensseihin jonkin verran. Nykyiset metsÀmaisemanhoito-ohjeet ovat pitkÀlti samankaltaisia tÀssÀ vÀitöskirjassa havaittujen maisemapreferenssien kanssa. MyöskÀÀn tutkittujen vaihtoehtoisten hoitotapojen ekologisen paremmuuden ja niihin kohdistuvien maisemallisten arvostusten vÀlillÀ ei ollut suurta ristiriitaa. Kuitenkin joitakin eroavaisuuksia oli; esimerkiksi sekÀ maisemanhoito-ohjeiden ettÀ ekologisten hypoteesien mukaan sÀÀstöpuut tulisi jÀttÀÀ ryhmiin, kun taas ihmiset pitivÀt eniten yksittÀin jÀtetyistÀ puista. Informaatiomalli ja psyko-evolutionaarinen teoria tarjoavat mahdollisia selityksiÀ uudistushakkuisiin ja pellonmetsitykseen kohdistuville preferensseille, vaikkakaan tutkimuksen tuloksia ei voida tÀysin selittÀÀ nÀillÀ teorioilla

    AplikĂĄcia kognitivnĂ©ho modelu vizuĂĄlnej pozornosti v automatizovanej montĂĄĆŸi

    Get PDF
    ZĂĄsobovacie zariadenia a podsystĂ©my v ĆĄtruktĂșrach montĂĄĆŸnych systĂ©mov majĂș vĂœznamnĂ© postavenie. TechnickĂș zloĆŸitosĆ„ klasickĂœch zĂĄsobovacĂ­ch zariadenĂ­ a podsystĂ©mov je moĆŸnĂ© eliminovaĆ„ pruĆŸnĂœmi programovateÄŸnĂœmi automatizovanĂœmi zariadeniami. InformĂĄcie o spomĂ­nanom objekte zabezpečovanĂ© senzorovĂœmi modulmi sa spracovĂĄvajĂș v riadiacom systĂ©me zariadenia resp. na vyĆĄĆĄej Ășrovni riadenia montĂĄĆŸneho systĂ©mu. SpracovanĂ© informĂĄcie sĂș distribuovanĂ© ako riadiace informĂĄcie vĂœkonnĂœm jednotkĂĄm a prvkom, ktorĂ© vykonĂĄvajĂș prĂ­sluĆĄnĂ© funkcie. Riadiace systĂ©my programovateÄŸnĂœch zĂĄsobovacĂ­ch zariadenĂ­ a podsystĂ©mov plnia viacerĂ© funkcie napr. spracovanie informĂĄciĂ­ od senzorovĂœch jednotiek a modulov, sprĂĄvne vyhodnotenie polohy sĂșčiastky a určenie postupu činnosti vĂœkonnĂœch jednotiek a prvkov, distribĂșcia vĂœkonnĂœch inĆĄtrukciĂ­ pohonovĂœm jednotkĂĄm, atď. ProgramovĂ© vybavenie zaloĆŸenĂ© na vyuĆŸĂ­vanĂ­ kognitĂ­vneho modelu vizuĂĄlnej pozornosti charakterizuje novĂœ prĂ­stup k rieĆĄeniu uvĂĄdzanĂœch problĂ©mov. Pri vizuĂĄlnom vnĂ­mĂĄnĂ­ scĂ©ny obsahujĂșcej rĂŽzne objekty a pre potrebu interakcie s určitĂœm cieÄŸovĂœm objektom nachĂĄdzajĂșcim sa v tejto scĂ©ne je nutnĂ© aby systĂ©m upriamil svoju pozornosĆ„ na tento (cieÄŸovĂœ) objekt. Tento mechanizmus je jednĂœm z principiĂĄlnych prvkov videnia a podobne ako mnoho biologicky motivovanĂœch systĂ©mov je veÄŸmi vĂœhodne vyuĆŸiteÄŸnĂœ v praxi. NavrhovanĂœ model je implementĂĄciou mechanizmu vizuĂĄlnej pozornosti vo vytvorenom počítačom simulovanom prostredĂ­.Logistic devices and sub - systems in the structures of assembly systems have significant position. Technical complexity of classical devices and sub - systems can be decreased by using of flexible programmable automated devices. Information's about objects provided by sensor modules are handled in processing system of the device, respective on the higher level of the assembly system. Executed information is distributed like processing information to executive units and elements. Control systems of programmable supply devices and sub - systems take handle of many functions, for example: processing information from sensor devices and modules, right calculating of the bearing of the component, distributing of executive instructions to actuating units, and many others. Software accessories based on the using of cognitive model of visual attention featured a new way of solving former problems. By visual reception the scenes contains miscellaneous objects and for the demand of the interaction with the target object is necessary that the system is need to be focused to this object. This mechanism is one of the pricipally elements of vision, and like many biologically motivated systems is very useful in practice. Designed model is an implementation of the mechanism of visual attention in the computer created simulation environment

    A Neural Theory of Attentive Visual Search: Interactions of Boundary, Surface, Spatial, and Object Representations

    Full text link
    Visual search data are given a unified quantitative explanation by a model of how spatial maps in the parietal cortex and object recognition categories in the inferotemporal cortex deploy attentional resources as they reciprocally interact with visual representations in the prestriate cortex. The model visual representations arc organized into multiple boundary and surface representations. Visual search in the model is initiated by organizing multiple items that lie within a given boundary or surface representation into a candidate search grouping. These items arc compared with object recognition categories to test for matches or mismatches. Mismatches can trigger deeper searches and recursive selection of new groupings until a target object io identified. This search model is algorithmically specified to quantitatively simulate search data using a single set of parameters, as well as to qualitatively explain a still larger data base, including data of Aks and Enns (1992), Bravo and Blake (1990), Chellazzi, Miller, Duncan, and Desimone (1993), Egeth, Viri, and Garbart (1984), Cohen and Ivry (1991), Enno and Rensink (1990), He and Nakayarna (1992), Humphreys, Quinlan, and Riddoch (1989), Mordkoff, Yantis, and Egeth (1990), Nakayama and Silverman (1986), Treisman and Gelade (1980), Treisman and Sato (1990), Wolfe, Cave, and Franzel (1989), and Wolfe and Friedman-Hill (1992). The model hereby provides an alternative to recent variations on the Feature Integration and Guided Search models, and grounds the analysis of visual search in neural models of preattentive vision, attentive object learning and categorization, and attentive spatial localization and orientation.Air Force Office of Scientific Research (F49620-92-J-0499, 90-0175, F49620-92-J-0334); Advanced Research Projects Agency (AFOSR 90-0083, ONR N00014-92-J-4015); Office of Naval Research (N00014-91-J-4100); Northeast Consortium for Engineering Education (NCEE/A303/21-93 Task 0021); British Petroleum (89-A-1204); National Science Foundation (NSF IRI-90-00530

    Modeling Bottom-Up and Top-Down Attention with a Neurodynamic Model of V1

    Get PDF
    Previous studies in that line suggested that lateral interactions of V1 cells are responsible, among other visual effects, of bottom-up visual attention (alternatively named visual salience or saliency). Our objective is to mimic these connections in the visual system with a neurodynamic network of firing-rate neurons. Early subcortical processes (i.e. retinal and thalamic) are functionally simulated. An implementation of the cortical magnification function is included to define the retinotopical projections towards V1, processing neuronal activity for each distinct view during scene observation. Novel computational definitions of top-down inhibition (in terms of inhibition of return and selection mechanisms), are also proposed to predict attention in Free-Viewing and Visual Search conditions. Results show that our model outpeforms other biologically-inpired models of saliency prediction as well as to predict visual saccade sequences during free viewing. We also show how temporal and spatial characteristics of inhibition of return can improve prediction of saccades, as well as how distinct search strategies (in terms of feature-selective or category-specific inhibition) predict attention at distinct image contexts.Comment: 32 pages, 19 figure
    • 

    corecore