Contextual Modulation of Competitive Object Candidates in Early Object Recognition

• Other Authors: Islam, Mohammed F. (author)
• Format: Others
• Language: English
• Published: Florida Atlantic University
• Subjects: Pattern recognition systems.; Information visualization.; Artificial intelligence.; Spatial analysis (Statistics); Latent structure analysis.
• Online Access: http://purl.flvc.org/fau/fd/FA00004836; http://purl.flvc.org/fau/fd/FA00004836

Object recognition is imperfect; often incomplete processing or deprived information yield misperceptions (i.e., misidentification) of objects. While quickly rectified and typically benign, instances of such errors can produce dangerous consequences (e.g., police shootings). Through a series of experiments, this study examined the competitive process of multiple object interpretations (candidates) during the earlier stages of object recognition process using a lexical decision task paradigm. Participants encountered low-pass filtered objects that were previously demonstrated to evoke multiple responses: a highly frequented interpretation (“primary candidates”) and a lesser frequented interpretation (“secondary candidates”). When objects were presented without context, no facilitative effects were observed for primary candidates. However, secondary candidates demonstrated evidence for being actively suppressed. === Includes bibliography. === Thesis (M.S.)--Florida Atlantic University, 2017. === FAU Electronic Theses and Dissertations Collection