Getting the gist of events: recognition of two-participant actions from brief displays.
نویسندگان
چکیده
Unlike rapid scene and object recognition from brief displays, little is known about recognition of event categories and event roles from minimal visual information. In 3 experiments, we displayed naturalistic photographs of a wide range of 2-participant event scenes for 37 ms and 73 ms followed by a mask, and found that event categories (the event gist; e.g., "kicking," "pushing") and event roles (i.e., Agent and Patient) can be recognized rapidly, even with various actor pairs and backgrounds. Norming ratings from a subsequent experiment revealed that certain physical features (e.g., outstretched extremities) that correlate with Agent-hood could have contributed to rapid role recognition. In a final experiment, using identical twin actors, we then varied these features in 2 sets of stimuli, in which Patients had Agent-like features or not. Subjects recognized the roles of event participants less accurately when Patients possessed Agent-like features, with this difference being eliminated with 2-s durations. Thus, given minimal visual input, typical Agent-like physical features are used in role recognition, but with sufficient input from multiple fixations, people categorically determine the relationship between event participants.
منابع مشابه
Journal of Experimental Psychology: General Getting the Gist of Events: Recognition of Two-Participant Actions From Brief Displays
Unlike rapid scene and object recognition from brief displays, little is known about recognition of event categories and event roles from minimal visual information. In 3 experiments, we displayed naturalistic photographs of a wide range of 2-participant event scenes for 37 ms and 73 ms followed by a mask, and found that event categories (the event gist; e.g., " kicking, " " pushing ") and even...
متن کاملOn the use of Textural Features and Neural Networks for Leaf Recognition
for recognizing various types of plants, so automatic image recognition algorithms can extract to classify plant species and apply these features. Fast and accurate recognition of plants can have a significant impact on biodiversity management and increasing the effectiveness of the studies in this regard. These automatic methods have involved the development of recognition techniques and digi...
متن کاملComprehension and Object Recognition Capabilities for Presentations of Simultaneous Video Key Frame Surrogates
The demand for more efficient browsing of video data is expected to increase as greater access to this type of data becomes available. This experiment looked at one technique for displaying video data using key frame surrogates that are presented as a "slide show". Subjects viewed key frames for between one and four video clips simultaneously. Following this presentation, the subjects performed...
متن کاملRecognition of Visual Events using Spatio-Temporal Information of the Video Signal
Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...
متن کاملStudy of structural relationship of life stressful events and getting addicted: with the test of the moderator role of type D personality
The purpose of this study was to investigate the relationship between stressful life events and drug preparedness, by examining the role of moderating type D personality.The method of this research is a Correlation between Organizational Equation Model and the statistical population of all students of Master and Masters of Urmia University in the academic year of 1396-97(N=17000).400 students w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of experimental psychology. General
دوره 142 3 شماره
صفحات -
تاریخ انتشار 2013