Wright, M. J., Alston, L., & Popple, A. V. (2002). Set-size effects for spatial frequency change and discrimination in multiple targets. Spatial Vision, 15(2), 157-170.
Abstract:
In visual search tasks with a near-threshold target among distracters, log detection thresholds rise in proportion to the log of the number of stimuli. Previous research has shown a very steep slope for this set-size effect where the target is a change in spatial frequency (SF) across an ISI, suggesting a low-level explanation for 'change blindness.' In this study, we analyse stimulus and task variables in order to determine the contributions of stimulus detection and attention processes using the authors as the sample (N=3). Stimuli consisted of 2 150 ms frames each containing 1 to 4 Gabor targets, with an ISI of 250 ms. In a 2AFC detection task with uniform distracters, slopes of 0.23-0.52 were found, in line with visual search results. 2AFC SF discrimination tasks gave slopes of 0.68, 0.69 with homogeneous distracters and 0.76-0.96 with inhomogeneous distracters, consistent with averaging of stimuli within a frame. Conclusions suggest, under conditions where a stimulus array can be analyzed globally, change detection performance is limited by signal detection mechanisms, rather than limited capacity attention or memory mechanisms. However, where this is prevented, limitations due to attention or memory produce an even steeper set-size effect.
Note:
This paper investigated how people discriminate the spatial frequency changes in multiple gabor patches. They conducted a signal detection approach to explain how decision may play a role in change detection. Change detection is limited by the signal detection mechanism when there is one object or when the distractors are homogeneous. Attention and memory may limit the performance when more than one object are presented and distractors are heterogeneous.
The authors used the idea from Palmer (1994) (see the information integration theory). They suggested that the change detection becomes difficult when multiple stimuli are presented because every stimulus is potentially mistaken as the target (source of noisy information).
Scott-Brown and Ordbach (1998) used uniform distractors which made the task context as simple detection task. (If the distractors are homogeneous, CD is like a visual search with flat slope; f the distractors are heterogeneous, CD is set-size dependent with a steep slope)
*Discrimination is more difficult than detection (Slope (discrimination) > Slope (detection) as a function of set size).
*The ISI between the pre- and post-change displays does not affect the CD
In the present study, they manipulated the type of task (discrimination), distractor homogeneity (uniform, varied in SF, orientation, or phase, or all) (In Exp1, with uniform distractors; In Exp 2, with non-changing distractors; In Exp 3, with changing distractors), presence of pre-cue (allowing to compare the relevant set size with display set size), and the presence of post cue (compare a global processing, or elaborative encoding à post-cue makes participants to build the exact stimulus-location binding). Participants were asked to discriminate the SF of the gabors (2AFC detection, 2AFC discrimination).
This paper did quite a lot of Exps, but the presentation of the data is not very clear and it’s difficult for me to catch the main idea proposed by the authors. I just understand those mentioned in the abstract. Distractor homogeneity may affect the detection slope. Still, I think these manipulations can be applied to my experimental context.
* They used the increment of threshold as a function of the set size. I think I can test this processing architecture by using the test of overall processing time.
This blog is about my research and what I am interested in. I will keep updating new information. Hope all of you enjoy it.
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About Me
- Yang Cheng-Ta (楊政達)
- I am Yang Cheng-Ta. I am a assistant professor at the department of psychology and institute of cognitive science, National Cheng Kung University (NCKU). I graduated from National Taiwan University (NTU). My supervisors were Prof. Yeh Yei-Yu and Prof. Hsu Yung-Fong. My major is cognitive psychology and mathematical psychology. My research interests are human attention and memory. My research topic is about why people cannot detect a change in the visual environment which is so-called “change Blindness”. I investigate the mechanism underlying change detection and how people make a correct detection decision. I am also interested in the mathematical modeling of human behavior. Besides, I like to play volleyball, go to gym, and swim when I am free. I also like to listen to the Chinese opera and still keep learning it. These are brief descriptions about me. If you are interested in me or share interests with me, contact with me at yangct@mail.ncku.edu.tw.
My Web
Personal Information
Conference
- 2010.3.7.-3.12. annual meeting of visual science society ()2009.12.1.截止)
- 台灣心理學會第48屆年會,9.26.-9.27.台大開會。投稿時間即將於7月31日截止。
- The 50th Annual Meeting of psychonomic society at Boston 2009.11.19.-11.22. (6月1日前截止投稿)
- 2009.6.24.-6.25. workshop of attention and perception (5.27.前截止投稿)
- 2009.8.1.-8.4. conference of Math Psych (4.31.截止)
- Annual meeting of visual science society May 8-13, 2009 (12.2.截止投稿)
- 第47屆台灣心理學年會 師大 (7.31截止)
- 13th workshop of attention and perception(嘉義中正大學)
- OPAM November, 13th, 2008, Chicago, Illinois ( 7月1日截止)
- 49th ANNUAL MEETING OF THE PSYCHONOMIC SOCIETY, Chicago Hilton Hotel, Chicago, Illinois, Thursday, November 13 – Sunday, November 16, 2008 (6月2日截止)
- NathPsych (四月一日截止)
- 華人心理學會註冊
- 2008.6.11-14 第六屆華人心理學家學術研討會 (一月底截止)
Shared Resources
- 用endnote寫論文
- working memory guides attention的討論文章
- E-Prime範例八:reaction time and accuracy
- E-Prime 範例七:feature integration theory
- E-Prime範例六:staircase 直接用程式顯現螢幕顏色
- signal detetcion theory
- OL釘書機
- E-Prime範例五:改變偵測(隨機指定位置與顏色)
- E-Prime範例四:stair case(二下一上)
- E-Prime範例三:false memory
- 神奇撲克牌變色魔術
- E-Prime範例二:primary memory
- E-Prime範例一:depth of processing
- Youtube 整理change blindness的範例
- E-Prime User's Guide
- E-Prime Introduction
- E-Prime data analysis
- E-Prime 中文使用說明 (「林思宏」改版,第一版由「黃卓寧」(2005.9.)撰寫)
Useful Links
- slideshare
- Associations for Psychological Science
- Visual Science Society
- 行政院國科會
- Psychonomic Society
- American Psychological Association
- Society for Mathmatical Psychology
- Yahoo MathPsych student
- National Taiwan University
- Department of Psychology, National Taiwan University
- ScienceDirect
- Taylor & Francis
- IngentaConnect
Online Resources
- Lee's homepage introduciton to matbugs
- hint of writing winbugs
- Matbugs: use matlab to interface with winbugs
- how to use winbugs and related issues (by 林永雋)
- Bayes data analysis
- 2008 科學季 眼界奇觀 (我與大學部小朋友共同製作)
- Hierarchical Signal Detection Model (Jeff's lab)
- labmeeting
- American Journal Experts
- ERRNET
- A theory of visaul attention
- STATSOFT
- E-Prime
- E-prime tutorial
- R
- Pubmed
- MatLab Codes
- Google Scholar
- Semantic association calculation
- Neuroimaging Resource
- Association Norm
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