2022
DOI: 10.3390/vision6010019
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Expectation Effects on Object Detection: Using Figure Assignment to Elucidate Mechanisms

Abstract: Recent evidence suggesting that object detection is improved following valid rather than invalid labels implies that semantics influence object detection. It is not clear, however, whether the results index object detection or feature detection. Further, because control conditions were absent and labels and objects were repeated multiple times, the mechanisms are unknown. We assessed object detection via figure assignment, whereby objects are segmented from backgrounds. Masked bipartite displays depicting a po… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
2

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(27 citation statements)
references
References 80 publications
(121 reference statements)
0
1
0
Order By: Relevance
“…However, the results of the current study emphasize the integrative nature of object and scene understanding. The results provide support for the role of context in object perception (e.g., Cacciamani et al, 2014; Flowers et al, 2020; Quek & Peelen, n.d.; Skocypec & Peterson, 2022) and that scene processing inherently includes the processing of the associations embedded within it (Aminoff, 2014; Aminoff & Tarr, 2015, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…However, the results of the current study emphasize the integrative nature of object and scene understanding. The results provide support for the role of context in object perception (e.g., Cacciamani et al, 2014; Flowers et al, 2020; Quek & Peelen, n.d.; Skocypec & Peterson, 2022) and that scene processing inherently includes the processing of the associations embedded within it (Aminoff, 2014; Aminoff & Tarr, 2015, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…In the present article, we use computational modeling to reveal the mechanisms whereby semantics influenced object detection in a recent experiment by Skocypec and Peterson (2022). We begin by discussing the “Label-Feedback” hypothesis, a leading hypothesis regarding how semantics might influence object detection that was supported by previous experiments in which stimuli were repeated multiple times.…”
Section: Introductionmentioning
confidence: 99%
“…In studies that provided support for the Label-Feedback hypothesis, a basic-level label (i.e., a label commonly paired with an object) was paired with a particular exemplar many times (e.g., Lupyan & Ward, 2013; Pinto et al, 2015; Stein & Peelen, 2015). However, with so much repetition, participants may have learned to respond accurately following a basic-level label when they detected low-level features rather than the object configuration which entails representations of the relationship among features (Gayet et al, 2014; Skocypec & Peterson, 2022). Thus, the use of repetition may produce a misunderstanding of how basic- level labels typically affect object detection.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations