Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/27340
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mayer, Katja M. | - |
dc.contributor.author | Voung, Quoc C. | - |
dc.contributor.author | Thornton, Ian M. | - |
dc.date.accessioned | 2018-02-27T07:54:46Z | - |
dc.date.available | 2018-02-27T07:54:46Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Mayer, K. M., Voung, Q. C., & Thornton, I. M. (2017). Humans are detected more efficiently than machines in the context of natural scenes. Japanese Psychological Research, 59, 2, 178-187. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/27340 | - |
dc.description.abstract | In the context of natural scenes, we recently showed that detecting humans among machine distractors is more efficient than detecting machines among human distractors (Mayer, Vuong, & Thornton, 2015). We concluded that the attentional system is tuned to efficiently process human form and motion. However, our results are also consistent with the possibility that discarding machine distractors is more efficient than discarding human distractors. In the present study, we replicated our previous visual search experiment but this time embedded targets amongst the same type of distractors; namely scenes displaying natural motion (e.g., billowing clouds, trees moving in the wind). Detecting humans among natural motion was more efficient than detecting machines among the same distractors as reflected in shallower search slopes, smaller intercepts, shorter first fixation durations on targets, and higher percentages of first fixations on targets. These findings are in line with efficient detection of human targets but not with efficient discarding of machine distractors. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Wiley-Blackwell Publishing Asia | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Eye tracking | en_GB |
dc.subject | Landscapes | en_GB |
dc.subject | Field dependence-independence | en_GB |
dc.subject | Recognition (Psychology) | en_GB |
dc.title | Humans are detected more efficiently than machines in the context of natural scenes | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1111/jpr.12145 | - |
dc.publication.title | Japanese Psychological Research | en_GB |
Appears in Collections: | Scholarly Works - FacMKSCS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Humans_are_Detected_More_Efficiently_than_Machines_2017.pdf Restricted Access | 249.63 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.