發(fā)布時間：2019-01-03 20:27

【摘要】：目的：面孔是我們?nèi)粘Ｉ钪谐Ｒ姷囊曈X刺激，其識別具有特異性。表情和性別信息是面孔信息的重要組成部分，對兩者的識別在我們的人際交往等活動方面有著巨大的影響。以往關于表情和性別的研究眾多，然而關于二者直接比較的研究卻很稀缺。本研究選定不同的呈現(xiàn)時間對面孔表情和面孔性別信息的識別進行研究，并且設定了區(qū)組和完全隨機兩種條件，希望通過更加真實、更加生態(tài)化的手段對這一問題加以探討，以便能夠使得研究結果具有更好的現(xiàn)實意義。 方法：實驗一和實驗二均采用相同的范式、實驗設計以及相同的呈現(xiàn)時間（12ms、50ms，250ms和500ms）對面孔的表情和面孔性別識別進行比較，不同的是實驗一中每個trial中被試有意識地將注意力投入到面孔的表情信息或者性別信息中進行反應，而在實驗二中，被試在并不知道接下來是要對呈現(xiàn)的面孔圖片的表情還是性別信息進行反應的情況下實驗。實驗三是實驗二的補充實驗，將呈現(xiàn)時間（50ms、100ms、150ms、200ms和250ms）更加細化，以期對實驗二的一些問題進行補充和修正，并試圖尋找面孔表情信息和面孔性別信息識別的關鍵點。 結果：總的來說，面孔表情信息識別優(yōu)于面孔性別信息識別，主要反映在正確率指標上：（1）實驗一在12ms呈現(xiàn)時間條件下，判斷表情任務的正確率顯著高于判斷性別任務的正確率（t=3.647，，p0.01）；50ms呈現(xiàn)時間條件下也發(fā)現(xiàn)了相同的結果（t=2.103，p0.05）。（2）實驗二在12ms呈現(xiàn)時間條件下，判斷表情任務的正確率顯著高于判斷性別任務的正確率（t=4.742，p0.001）；50ms呈現(xiàn)時間條件下也發(fā)現(xiàn)了相同的結果（t=2.256，p0.05）。（3）實驗三在50ms呈現(xiàn)時間條件下，判斷表情任務的正確率顯著高于判斷性別任務的正確率（t=3.647，p0.05）。 結論：（1）在12ms和50ms時，面孔表情信息識別比面孔性別信息識別更準確；（2）面孔表情信息加工優(yōu)于面孔性別信息加工，尤其在高度自動化水平下，面孔表情信息識別比面孔性別信息識別先達到加工足以做出分類反應的程度。
[Abstract]:Objective: face is a common visual stimulation in our daily life, and its recognition is specific. Facial expression and gender information are important components of face information. There have been a lot of studies on facial expressions and gender in the past, but the direct comparison between them is scarce. This study selected different presentation time to study the recognition of facial expression and facial gender information, and set up two conditions of block and complete randomness, hoping to explore this problem through more realistic and more ecological means. In order to make the research results have better practical significance. Methods: both experiment 1 and experiment 2 used the same paradigm, the experimental design and the same presentation time (12 Ms / 50 Ms ~ (250) Ms and 500ms) were used to compare facial expression and face sex recognition. The difference was that in experiment one, each trial participant consciously focused on facial expression information or gender information, while in experiment two, The subjects did not know whether to respond to the face image or gender information. Experiment 3 is a supplementary experiment of experiment 2. The time of presentation (50ms / 100ms / 150ms / 200ms and 250ms) will be further refined in order to supplement and correct some problems in experiment two. And try to find the key points of facial expression information and face gender information recognition. Results: in general, facial expression information recognition was superior to face gender information recognition, mainly reflected in the correct rate index: (1) experiment 1. Under the condition of 12ms presentation time, The correct rate of judging expression task was significantly higher than that of gender task (t = 3.647 / p0.01). The same results were also found in 50ms presentation time (t0. 103 / p0. 05). (2). In the case of 12ms presentation, the correct rate of judging facial expression task was significantly higher than that of gender task (t0. 742, p0. 001). The same results were also found under the 50ms presentation time (t0. 256 / p0. 05). (3). In the case of 50ms presentation, the correct rate of judging facial expression task was significantly higher than that of gender task (t0. 647 / p0. 05). Conclusion: (1) in 12ms and 50ms, facial expression information recognition is more accurate than face gender information recognition; (2) facial expression information processing is superior to face gender information processing, especially in the highly automated level, facial expression information recognition can be processed to a degree sufficient for classification response than face gender information recognition.
【學位授予單位】：遼寧師范大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：B842

【參考文獻】

相關博士學位論文 前1條

1 羅文波;快速序列視覺呈現(xiàn)中面孔加工的神經(jīng)機制[D];西南大學;2009年

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