The Effects of Age and Visual Capability on Performance with Plane and Convex Mirrors

1974 ◽  
Vol 18 (2) ◽  
pp. 123-128
Author(s):  
Ronald R. Mourant ◽  
Ruth E. DeWalo
Keyword(s):  
Visual Acuity ◽  
Reaction Times ◽  
Recognition Task ◽  
Detection Task ◽  
Target Orientation ◽  
Convex Mirror ◽  
Landolt Ring ◽  
Young Subjects ◽  
Detection And Recognition

Reaction times were measured for a detection task and a recognition task when using plane mirrors and when using convex mirrors. Three groups of nine drivers each (Young, Mature-with Bifocals, and Mature-No Glasses) were studied. The detection task consisted of reporting the number of Landolt Rings (0,1,2,3, or 4) that were made to appear in a mirror. The recognition task consisted of reporting the orientation (left, right, up, or down) of the Landolt Ring gaps. On both the detection and recognition tasks differences between types of subjects increased as the convexity of the mirror increased. The largest differences occured when the images were displayed in a 40 inch convex mirror. Here, Mature-No Glasses subjects took .77 seconds longer to report target orientation than Young subjects. On the same task Mature-Bifocaled subjects took only .18 seconds longer than the Young subjects. Since the longer reaction times of Mature-No Glasses subjects appears to be due to their poorer visual acuity it is recommended that states require higher visual standards with respect to far visual acuity.

scholarly journals What canonical online and offline measures of statistical learning can and cannot tell us

2021 ◽  
Author(s):  
Ava Kiai ◽  
Lucia Melloni
Keyword(s):  
Word Recognition ◽  
Statistical Learning ◽  
Target Detection ◽  
Reaction Times ◽  
Recognition Task ◽  
Reaction Time Data ◽  
Individual Performance ◽  
Detection Task ◽  
Time Data ◽  
Target Detection Task

Statistical learning (SL) allows individuals to rapidly detect regularities in the sensory environment. We replicated previous findings showing that adult participants become sensitive to the implicit structure in a continuous speech stream of repeating tri-syllabic pseudowords within minutes, as measured by standard tests in the SL literature: a target detection task and a 2AFC word recognition task. Consistent with previous findings, we found only a weak correlation between these two measures of learning, leading us to question whether there is overlap between the information captured by these two tasks. Representational similarity analysis on reaction times measured during the target detection task revealed that reaction time data reflect sensitivity to transitional probability, triplet position, word grouping, and duplet pairings of syllables. However, individual performance on the word recognition task was not predicted by similarity measures derived for any of these four features. We conclude that online detection tasks provide richer and multi-faceted information about the SL process, as compared with 2AFC recognition tasks, and may be preferable for gaining insight into the dynamic aspects of SL.

Rapid Serial Auditory Presentation

2015 ◽  
Vol 62 (5) ◽  
pp. 346-351 ◽  
Author(s):  
Ana Franco ◽  
Julia Eberlen ◽  
Arnaud Destrebecqz ◽  
Axel Cleeremans ◽  
Julie Bertels
Keyword(s):  
Statistical Learning ◽  
Reaction Times ◽  
Visual Presentation ◽  
Detection Task ◽  
Speech Segmentation ◽  
Auditory Presentation ◽  
Indirect Measure ◽  
Speech Stream ◽  
Adult Participants ◽  
Presentation Procedure

Abstract. The Rapid Serial Visual Presentation procedure is a method widely used in visual perception research. In this paper we propose an adaptation of this method which can be used with auditory material and enables assessment of statistical learning in speech segmentation. Adult participants were exposed to an artificial speech stream composed of statistically defined trisyllabic nonsense words. They were subsequently instructed to perform a detection task in a Rapid Serial Auditory Presentation (RSAP) stream in which they had to detect a syllable in a short speech stream. Results showed that reaction times varied as a function of the statistical predictability of the syllable: second and third syllables of each word were responded to faster than first syllables. This result suggests that the RSAP procedure provides a reliable and sensitive indirect measure of auditory statistical learning.

scholarly journals Lighting for pedestrians: Does multi-tasking affect the performance of typical pedestrian tasks?

2021 ◽  
pp. 147715352110026
Author(s):  
Y Mao ◽  
S Fotios
Keyword(s):  
Emotion Recognition ◽  
Recognition Task ◽  
Obstacle Detection ◽  
Detection Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Impaired Performance ◽  
Lighting Conditions ◽  
Multiple Tasks ◽  
Visual Tasks

Obstacle detection and facial emotion recognition are two critical visual tasks for pedestrians. In previous studies, the effect of changes in lighting was tested for these as individual tasks, where the task to be performed next in a sequence was known. In natural situations, a pedestrian is required to attend to multiple tasks, perhaps simultaneously, or at least does not know which of several possible tasks would next require their attention. This multi-tasking might impair performance on any one task and affect evaluation of optimal lighting conditions. In two experiments, obstacle detection and facial emotion recognition tasks were performed in parallel under different illuminances. Comparison of these results with previous studies, where these same tasks were performed individually, suggests that multi-tasking impaired performance on the peripheral detection task but not the on-axis facial emotion recognition task.

scholarly journals Sport-Related Human Activity Detection and Recognition Using a Smartwatch

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5001 ◽  
Author(s):  
Zhendong Zhuang ◽  
Yang Xue
Keyword(s):  
Human Activity ◽  
Recognition Task ◽  
Sliding Window ◽  
Research Field ◽  
Activity Monitoring ◽  
Activity Detection ◽  
Related Activity ◽  
Window Method ◽  
Human Activity Detection ◽  
Detection And Recognition

As an active research field, sport-related activity monitoring plays an important role in people’s lives and health. This is often viewed as a human activity recognition task in which a fixed-length sliding window is used to segment long-term activity signals. However, activities with complex motion states and non-periodicity can be better monitored if the monitoring algorithm is able to accurately detect the duration of meaningful motion states. However, this ability is lacking in the sliding window approach. In this study, we focused on two types of activities for sport-related activity monitoring, which we regard as a human activity detection and recognition task. For non-periodic activities, we propose an interval-based detection and recognition method. The proposed approach can accurately determine the duration of each target motion state by generating candidate intervals. For weak periodic activities, we propose a classification-based periodic matching method that uses periodic matching to segment the motion sate. Experimental results show that the proposed methods performed better than the sliding window method.

scholarly journals Callous-unemotional traits in youth with autism spectrum disorder (ASD): replication of prevalence estimates and associations with gaze patterns when viewing fearful faces

2020 ◽  
pp. 1-9
Author(s):  
Virginia Carter Leno ◽  
Rachael Bedford ◽  
Susie Chandler ◽  
Pippa White ◽  
Isabel Yorke ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Behavioral Problems ◽  
Reaction Times ◽  
Recognition Task ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Emotional And Behavioral Problems ◽  
Cu Traits ◽  
Fearful Faces ◽  
Callous Unemotional

Abstract Research suggests an increased prevalence of callous-unemotional (CU) traits in children with autism spectrum disorder (ASD), and a similar impairment in fear recognition to that reported in non-ASD populations. However, past work has used measures not specifically designed to measure CU traits and has not examined whether decreased attention to the eyes reported in non-ASD populations is also present in individuals with ASD. The current paper uses a measure specifically designed to measure CU traits to estimate prevalence in a large community-based ASD sample. Parents of 189 adolescents with ASD completed questionnaires assessing CU traits, and emotional and behavioral problems. A subset of participants completed a novel emotion recognition task (n = 46). Accuracy, reaction time, total looking time, and number of fixations to the eyes and mouth were measured. Twenty-two percent of youth with ASD scored above a cut-off expected to identify the top 6% of CU scores. CU traits were associated with longer reaction times to identify fear and fewer fixations to the eyes relative to the mouth during the viewing of fearful faces. No associations were found with accuracy or total looking time. Results suggest the mechanisms that underpin CU traits may be similar between ASD and non-ASD populations.

scholarly journals DetReco: Object-Text Detection and Recognition Based on Deep Neural Network

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Fan Zhang ◽  
Jiaxing Luan ◽  
Zhichao Xu ◽  
Wei Chen
Keyword(s):  
Intelligent Transportation Systems ◽  
Research Effort ◽  
Recognition Task ◽  
Autonomous Driving ◽  
Transportation Systems ◽  
Text Detection ◽  
Text Recognition ◽  
Test Time ◽  
Average Precision ◽  
Detection And Recognition

Deep learning-based object detection method has been applied in various fields, such as ITS (intelligent transportation systems) and ADS (autonomous driving systems). Meanwhile, text detection and recognition in different scenes have also attracted much attention and research effort. In this article, we propose a new object-text detection and recognition method termed “DetReco” to detect objects and texts and recognize the text contents. The proposed method is composed of object-text detection network and text recognition network. YOLOv3 is used as the algorithm for the object-text detection task and CRNN is employed to deal with the text recognition task. We combine the datasets of general objects and texts together to train the networks. At test time, the detection network detects various objects in an image. Then, the text images are passed to the text recognition network to derive the text contents. The experiments show that the proposed method achieves 78.3 mAP (mean Average Precision) for general objects and 72.8 AP (Average Precision) for texts in regard to detection performance. Furthermore, the proposed method is able to detect and recognize affine transformed or occluded texts with robustness. In addition, for the texts detected around general objects, the text contents can be used as the identifier to distinguish the object.

Effects of Age and Memory Grouping on Simulated Car Driving

2002 ◽  
Vol 46 (22) ◽  
pp. 1853-1857 ◽  
Author(s):  
Yan Bao ◽  
Miklos Kiss ◽  
Marc Wittmann
Keyword(s):  
Visual Memory ◽  
Red Light ◽  
Memory Task ◽  
Reaction Times ◽  
Elderly Subjects ◽  
Fast Reaction ◽  
Elderly Drivers ◽  
Young Subjects ◽  
Color Grouping ◽  
Car Driving

The effects of an onboard visual memory task on simulated car driving were investigated in 20 young and 20 elderly drivers. Three experimental tasks (memory, driving, and dual task) were conducted in this study. Grouping of the presented memory words was manipulated by color, size, shape, and location. Results showed that grouping only improves memory for young people, but not for elderly in the memory-alone condition. No memory improvement by the grouping arrangement was found in the driving situation. However, reaction time to red light and number of driving errors showed that grouping did play an important role for elderly, but not for young subjects. The concurrent memory task significantly increased elderly subjects' reaction times. Color grouping, however, led to relatively fast reaction times and fewer driving errors. Possible reasons for the age-dependent grouping effect during driving and the implications of this effect for the development of onboard instruments are discussed.

Facial affect recognition deficits in bipolar disorder

2003 ◽  
Vol 9 (4) ◽  
pp. 623-632 ◽  
Author(s):  
GLEN E. GETZ ◽  
PAULA K. SHEAR ◽  
STEPHEN M. STRAKOWSKI
Keyword(s):  
Bipolar Disorder ◽  
Emotional Regulation ◽  
Facial Recognition ◽  
Reaction Times ◽  
Recognition Task ◽  
Facial Affect ◽  
Affect Recognition ◽  
Facial Affect Recognition ◽  
Benton Facial Recognition Test ◽  
Bipolar Patients

Patients diagnosed with bipolar disorder (BPD), by definition, have problems with emotional regulation. However, it remains uncertain whether these patients are also deficient at processing other people's emotions, particularly while manic. The present study examined the ability of 25 manic bipolar patients and 25 healthy participants on tasks of facial recognition and facial affect recognition at three different presentation durations: 500 ms, 750 ms, and 1000 ms. The groups did not differ in terms of age, education, sex, ethnicity, or estimated IQ. The groups did not differ significantly on either a novel computerized facial recognition task or the Benton Facial Recognition Test. In contrast, the bipolar group performed significantly more poorly than did the comparison group on a novel facial affect labeling task. Although the patient group had slower reaction times on all 3 computerized tasks, the presentation duration did not have an effect on performance in the patients. This study suggests that patients with bipolar disorder are able to recognize faces, but have difficulty processing facial affective cues. (JINS, 2003, 9, 623–632.)

Processing of center-embedded and right-branching relative clause sentences by normal elderly individuals

1993 ◽  
Vol 14 (1) ◽  
pp. 75-88 ◽  
Author(s):  
Shari R. Baum
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Relative Clause ◽  
Reaction Times ◽  
The Elderly ◽  
Elderly Subjects ◽  
Decision Task ◽  
Older Subjects ◽  
Young Subjects ◽  
Repetition Task

ABSTRACTTwo experiments were conducted to explore processing of relative clause structures by normal elderly adults. Four groups of subjects (aged 20–29 years, 60–69 years, 70–79 years, and 80–89 years) participated in a lexical decision task and a sentence repetition task. Results of the lexical decision task revealed longer reaction times and somewhat different patterns of performance for the older subjects as compared to the young subjects; on the repetition task, the oldest subjects performed more poorly overall. Findings are suggestive of a reduction in computational capacity in the elderly subjects, which may account for observed decrements in syntactic processing as compared to young adults.

Some Factors Influencing Vision through Meshes

1968 ◽  
Vol 10 (5) ◽  
pp. 531-551 ◽  
Author(s):  
Adrian R. Hill ◽  
Thomas A. Markus
Keyword(s):  
Visual Acuity ◽  
Field Experiment ◽  
Laboratory Experiment ◽  
Paired Comparisons ◽  
First Order ◽  
Factors Influencing ◽  
Laboratory Results ◽  
Landolt Ring ◽  
Main Effects ◽  
Window Screening

The problems associated with vision through mesh window screening materials are discussed and a laboratory experiment using a 1/8th replicate 2th factorial design is described which shows the relative effects on vision of main effects and first-order interactions. Two criteria of visibility were used: a Landolt ring, measuring changes in visual acuity, and paired ratio scaling giving direct magnitude estimates of “ease of seeing” through the material. The laboratory results were validated in a short field experiment in which the effects on visibility of three isolated variables was determined by paired comparisons. Some suggestions for future experiments are also discussed.

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