scholarly journals Predicting Search Performance in Heterogeneous Scenes: Quantifying the Impact of Homogeneity Effects in Efficient Search

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Alejandro Lleras ◽  
Zhiyuan Wang ◽  
Anna Madison ◽  
Simona Buetti
Keyword(s):  
Visual Search ◽  
Computational Model ◽  
Real World ◽  
Predictive Power ◽  
Facilitatory Effect ◽  
Stimulus Complexity ◽  
Search Performance ◽  
Efficient Search ◽  
The Impact

Recently, Wang, Buetti and Lleras (2017) developed an equation to predict search performance in heterogeneous visual search scenes (i.e., multiple types of non-target objects simultaneously present) based on parameters observed when participants perform search in homogeneous scenes (i.e., when all non-target objects are identical to one another). The equation was based on a computational model where every item in the display is processed with unlimited capacity and independently of one another, with the goal of determining whether the item is likely to be a target or not. The model was tested in two experiments using real-world objects. Here, we extend those findings by testing the predictive power of the equation to simpler objects. Further, we compare the model’s performance under two stimulus arrangements: spatially-intermixed (items randomly placed around the scene) and spatially-segregated displays (identical items presented near each other). This comparison allowed us to isolate and quantify the facilitatory effect of processing displays that contain identical items (homogeneity facilitation), a factor that improves performance in visual search above-and-beyond target-distractor dissimilarity. The results suggest that homogeneity facilitation effects in search arise from local item-to-item interaction (rather than by rejecting items as “groups”) and that the strength of those interactions might be determined by stimulus complexity (with simpler stimuli producing stronger interactions and thus, stronger homogeneity facilitation effects).

scholarly journals When more is more: redundant modifiers can facilitate visual search

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Gwendolyn Rehrig ◽  
Reese A. Cullimore ◽  
John M. Henderson ◽  
Fernanda Ferreira
Keyword(s):  
Visual Search ◽  
Real World ◽  
Search Space ◽  
Relevant Information ◽  
Target Object ◽  
Search Performance ◽  
Redundant Information ◽  
Additional Information ◽  
Target Template ◽  
Template Specificity

Abstract According to the Gricean Maxim of Quantity, speakers provide the amount of information listeners require to correctly interpret an utterance, and no more (Grice in Logic and conversation, 1975). However, speakers do tend to violate the Maxim of Quantity often, especially when the redundant information improves reference precision (Degen et al. in Psychol Rev 127(4):591–621, 2020). Redundant (non-contrastive) information may facilitate real-world search if it narrows the spatial scope under consideration, or improves target template specificity. The current study investigated whether non-contrastive modifiers that improve reference precision facilitate visual search in real-world scenes. In two visual search experiments, we compared search performance when perceptually relevant, but non-contrastive modifiers were included in the search instruction. Participants (NExp. 1 = 48, NExp. 2 = 48) searched for a unique target object following a search instruction that contained either no modifier, a location modifier (Experiment 1: on the top left, Experiment 2: on the shelf), or a color modifier (the black lamp). In Experiment 1 only, the target was located faster when the verbal instruction included either modifier, and there was an overall benefit of color modifiers in a combined analysis for scenes and conditions common to both experiments. The results suggest that violations of the Maxim of Quantity can facilitate search when the violations include task-relevant information that either augments the target template or constrains the search space, and when at least one modifier provides a highly reliable cue. Consistent with Degen et al. (2020), we conclude that listeners benefit from non-contrastive information that improves reference precision, and engage in rational reference comprehension. Significance statement This study investigated whether providing more information than someone needs to find an object in a photograph helps them to find that object more easily, even though it means they need to interpret a more complicated sentence. Before searching a scene, participants were either given information about where the object would be located in the scene, what color the object was, or were only told what object to search for. The results showed that providing additional information helped participants locate an object in an image more easily only when at least one piece of information communicated what part of the scene the object was in, which suggests that more information can be beneficial as long as that information is specific and helps the recipient achieve a goal. We conclude that people will pay attention to redundant information when it supports their task. In practice, our results suggest that instructions in other contexts (e.g., real-world navigation, using a smartphone app, prescription instructions, etc.) can benefit from the inclusion of what appears to be redundant information.

The Impact of Age on Visual Search Performance

1993 ◽  
Vol 37 (2) ◽  
pp. 172-176 ◽  
Author(s):  
P. Manivannan ◽  
Sara Czaja ◽  
Colin Drury ◽  
Chi Ming Ip
Keyword(s):  
Visual Search ◽  
Reaction Time ◽  
Selective Attention ◽  
Search Task ◽  
Visual Search Task ◽  
Age Groups ◽  
Search Performance ◽  
Performance Effect ◽  
Age Related ◽  
The Impact

Visual search is an important component of many real world tasks such as industrial inspection and driving. Several studies have shown that age has an impact on visual search performance. In general older people demonstrate poorer performance on such tasks as compared to younger people. However, there is controversy regarding the source of the age-performance effect. The objective of this study was to examine the relationship between component abilities and visual search performance, in order to identify the locus of age-related performance differences. Six abilities including reaction time, working memory, selective attention and spatial localization were identified as important components of visual search performance. Thirty-two subjects ranging in age from 18 - 84 years, categorized in three different age groups (young, middle, and older) participated in the study. Their component abilities were measured and they performed a visual search task. The visual search task varied in complexity in terms of type of targets detected. Significant relationships were found between some of the component skills and search performance. Significant age effects were also observed. A model was developed using hierarchical multiple linear regression to explain the variance in search performance. Results indicated that reaction time, selective attention, and age were important predictors of search performance with reaction time and selective attention accounting for most of the variance.

The Effect of Scene Context on Visual Search in Real‐World Scenes

2017 ◽  
Author(s):  
Samia Hussein
Keyword(s):  
Visual Search ◽  
Eye Movements ◽  
Visual Attention ◽  
Real World ◽  
Target Object ◽  
Scene Context ◽  
Efficient Search ◽  
Object Attention ◽  
Study Participants

The present study examined the effect of scene context on guidance of attention during visual search in real‐world scenes. Prior research has demonstrated that when searching for an object, attention is usually guided to the region of a scene that most likely contains that target object. This study examined two possible mechanisms of attention that underlie efficient search: enhancement of attention (facilitation) and a deficiency of attention (inhibition). In this study, participants (N=20) were shown an object name and then required to search through scenes for the target while their eye movements were tracked. Scenes were divided into target‐relevant contextual regions (upper, middle, lower) and participants searched repeatedly in the same scene for different targets either in the same region or in different regions. Comparing repeated searches within the same scene across different regions, we expect to find that visual search is faster and more efficient (facilitation of attention) in regions of a scene where attention was previously deployed. At the same time, when searching across different regions, we expect searches to be slower and less efficient (inhibition of attention) because those regions were previously ignored. Results from this study help to better understand how mechanisms of visual attention operate within scene contexts during visual search. 

Highlighting with Flicker Some Basic Visual Search Considerations

1993 ◽  
Vol 37 (19) ◽  
pp. 1300-1304
Author(s):  
Karl F. Van Orden ◽  
Joseph DiVita
Keyword(s):  
Visual Search ◽  
Visual System ◽  
Search Rate ◽  
Search Performance ◽  
Serial Search ◽  
Response Properties ◽  
Efficient Search ◽  
Early Visual System ◽  
Conjunctive Search

Previous research has demonstrated that search times are reduced when flicker is used to highlight color coded symbols, but that flicker is not distracting when subjects must search for non-highlighted symbols. This prompted an examination of flicker and other stimulus dimensions in a conjunctive search paradigm. In all experiments, at least 15 subjects completed a minimum of 330 trials in which they indicated the presence or absence of target stimuli on a CRT display that contained either 8, 16 or 32 items. In Experiment 1, subjects searched for blue-steady or red-flickering (5.6 Hz) circular targets among blue-flickering and red-steady distractors. Blue-steady targets produced a more efficient search rate (11.6 msec/item) than red-flickering targets (19.3 msec/item). In Experiment 2, a conjunction of flicker and size (large and small filled circles) yielded the opposite results; the search performance for large-flickering targets was unequivocally parallel. In Experiment 3, conjunctions of form and flicker yielded highly serial search performance. The findings are consistent with the response properties of parvo and magnocellular channels of the early visual system, and suggest that search is most efficient when one of these channels can be filtered completely.

scholarly journals Predicting Search Performance in Heterogeneous Visual Search Scenes with Real-World Objects

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Zhiyuan Wang ◽  
Simona Buetti ◽  
Alejandro Lleras
Keyword(s):  
Visual Search ◽  
Real World ◽  
Visual Processing ◽  
Search Performance ◽  
Computational Simulations ◽  
Fixed Target ◽  
Set Size ◽  
Search Data ◽  
Exhaustive Processing ◽  
Processing Architecture

Previous work in our lab has demonstrated that efficient visual search with a fixed target has a reaction time by set size function that is best characterized by logarithmic curves. Further, the steepness of these logarithmic curves is determined by the similarity between target and distractor items (Buetti et al., 2016). A theoretical account of these findings was proposed, namely that a parallel, unlimited capacity, exhaustive processing architecture is underlying such data. Here, we conducted two experiments to expand these findings to a set of real-world stimuli, in both homogeneous and heterogeneous search displays. We used computational simulations of this architecture to identify a way to predict RT performance in heterogeneous search using parameters estimated from homogeneous search data. Further, by examining the systematic deviation from our predictions in the observed data, we found evidence that early visual processing for individual items is not independent. Instead, items in homogeneous displays seemed to facilitate each other’s processing by a multiplicative factor. These results challenge previous accounts of heterogeneity effects in visual search, and demonstrate the explanatory and predictive power of an approach that combines computational simulations and behavioral data to better understand performance in visual search.

scholarly journals Animacy and object size are reflected in perceptual similarity computations by the preschool years

2019 ◽  
Author(s):  
Bria Long ◽  
Mariko Moher ◽  
Susan Carey ◽  
Talia Konkle
Keyword(s):  
Visual Cortex ◽  
Visual Search ◽  
Real World ◽  
Cognitive Architecture ◽  
Object Size ◽  
Search Performance ◽  
Perceptual Similarity ◽  
Neural Responses ◽  
Neural Organization ◽  
Perceptual Representations

By adulthood, animacy and object size jointly structure neural responses in visual cortex and influence perceptual similarity computations. Here, we take a first step in asking about the development of these aspects of cognitive architecture by probing whether animacy and object size are reflected in perceptual similarity computations by the preschool years. We used visual search performance as an index of perceptual similarity, as research with adults suggests search is slower when distractors are perceptually similar to the target. Preschoolers found target pictures more quickly when targets differed from distractor pictures in either animacy (Experiment 1) or in real-world size (Experiment 2; the pictures themselves were all the same size), versus when they do not. Taken together, these results suggest that the visual system has abstracted perceptual features for animates vs. inanimates and big vs. small objects as classes by the preschool years and call for further research exploring the development of these perceptual representations and their consequences for neural organization in childhood.

scholarly journals Individual differences in visual search performance extend from artificial arrays to naturalistic environments.

2021 ◽  
Author(s):  
Thomas L. Botch ◽  
Brenda D. Garcia ◽  
Yeo Bi Choi ◽  
Caroline E. Robertson
Keyword(s):  
Individual Differences ◽  
Visual Search ◽  
Eye Movements ◽  
Real World ◽  
Search Task ◽  
Visual Search Task ◽  
Search Behavior ◽  
Search Performance ◽  
Set Size ◽  
Visual Clutter

Visual search is a universal human activity in naturalistic environments. Traditionally, visual search is investigated under tightly controlled conditions, where head-restricted participants locate a minimalistic target in a cluttered array presented on a computer screen. Do classic findings of visual search extend to naturalistic settings, where participants actively explore complex, real-world scenes? Here, we leverage advances in virtual reality (VR) technology to relate individual differences in classic visual search paradigms to naturalistic search behavior. In a naturalistic visual search task, participants looked for an object within their environment via a combination of head-turns and eye-movements using a head-mounted display. Then, in a classic visual search task, participants searched for a target within a simple array of colored letters using only eye-movements. We tested how set size, a property known to limit visual search within computer displays, predicts the efficiency of search behavior inside immersive, real-world scenes that vary in levels of visual clutter. We found that participants' search performance was impacted by the level of visual clutter within real-world scenes. Critically, we also observed that individual differences in visual search efficiency in classic search predicted efficiency in real-world search, but only when the comparison was limited to the forward-facing field of view for real-world search. These results demonstrate that set size is a reliable predictor of individual performance across computer-based and active, real-world visual search behavior.

scholarly journals Characteristic sounds facilitate object search in real-life scenes

2019 ◽  
Author(s):  
Daria Kvasova ◽  
Laia Garcia-Vernet ◽  
Salvador Soto-Faraco
Keyword(s):  
Visual Search ◽  
Real World ◽  
Ecological Validity ◽  
Real Life ◽  
Natural Scenes ◽  
Search Performance ◽  
Object Identity ◽  
Spatially Correlated ◽  
Crossmodal Interactions ◽  
Correlated Information

AbstractReal-world multisensory events do not only provide temporally and spatially correlated information, but also semantic correspondences about object identity. Semantically consistent sounds can enhance visual detection, identification and search performance, but these effects are always demonstrated in simple and stereotyped displays that lack ecological validity. In order to address identity-based crossmodal relationships in real world scenarios, we designed a visual search task using complex, dynamic scenes. Participants searched objects in video clips from real life scenes with background sounds. Auditory cues embedded in the background sounds could be target-consistent, distracter-consistent, neutral and no sound (just background noise). We found that characteristic sounds enhance visual search of relevant objects in natural scenes but fail to increase the salience of irrelevant distracters. Our findings generalize previous results on object-based crossmodal interactions with simple stimuli and shed light upon how audio-visual semantically congruent relationships play out in real life contexts.

scholarly journals Visual search performance in ‘CCTV’ and mobile phone-like video footage

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Viktoria R. Mileva ◽  
Peter J. B. Hancock ◽  
Stephen R. H. Langton
Keyword(s):  
Visual Search ◽  
Mobile Phone ◽  
Real World ◽  
Police Officers ◽  
Search Performance ◽  
Multiple Images ◽  
Video Footage ◽  
Search Tasks ◽  
Improve Accuracy ◽  
The Face

AbstractFinding an unfamiliar person in a crowd of others is an integral task for police officers, CCTV-operators, and security staff who may be looking for a suspect or missing person; however, research suggests that it is difficult and accuracy in such tasks is low. In two real-world visual-search experiments, we examined whether being provided with four images versus one image of an unfamiliar target person would help improve accuracy when searching for that person through video footage. In Experiment 1, videos were taken from above and at a distance to simulate CCTV, and images of the target showed their face and torso. In Experiment 2, videos were taken from approximately shoulder height, such as one would expect from body-camera or mobile phone recordings, and target images included only the face. Our findings suggest that having four images as exemplars leads to higher accuracy in the visual search tasks, but this only reached significance in Experiment 2. There also appears to be a conservative bias whereby participants are more likely to respond that the target is not in the video when presented with only one image as opposed to 4. These results point to there being an advantage for providing multiple images of targets for use in video visual-search.

Sign in / Sign up

Export Citation Format

Share Document