【摘要】：目的：面孔是我們?nèi)粘Ｉ钪谐Ｒ?jiàn)的視覺(jué)刺激，其識(shí)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(duì)兩者的識(shí)別在我們的人際交往等活動(dòng)方面有著巨大的影響。以往關(guān)于表情和性別的研究眾多，然而關(guān)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(shí)間對(duì)面孔表情和面孔性別信息的識(shí)別進(jìn)行研究，并且設(shè)定了區(qū)組和完全隨機(jī)兩種條件，希望通過(guò)更加真實(shí)、更加生態(tài)化的手段對(duì)這一問(wèn)題加以探討，以便能夠使得研究結(jié)果具有更好的現(xiàn)實(shí)意義。 方法：實(shí)驗(yàn)一和實(shí)驗(yàn)二均采用相同的范式、實(shí)驗(yàn)設(shè)計(jì)以及相同的呈現(xiàn)時(shí)間（12ms、50ms，250ms和500ms）對(duì)面孔的表情和面孔性別識(shí)別進(jìn)行比較，不同的是實(shí)驗(yàn)一中每個(gè)trial中被試有意識(shí)地將注意力投入到面孔的表情信息或者性別信息中進(jìn)行反應(yīng)，而在實(shí)驗(yàn)二中，被試在并不知道接下來(lái)是要對(duì)呈現(xiàn)的面孔圖片的表情還是性別信息進(jìn)行反應(yīng)的情況下實(shí)驗(yàn)。實(shí)驗(yàn)三是實(shí)驗(yàn)二的補(bǔ)充實(shí)驗(yàn)，將呈現(xiàn)時(shí)間（50ms、100ms、150ms、200ms和250ms）更加細(xì)化，以期對(duì)實(shí)驗(yàn)二的一些問(wèn)題進(jìn)行補(bǔ)充和修正，并試圖尋找面孔表情信息和面孔性別信息識(shí)別的關(guān)鍵點(diǎn)。 結(jié)果：總的來(lái)說(shuō)，面孔表情信息識(shí)別優(yōu)于面孔性別信息識(shí)別，主要反映在正確率指標(biāo)上：（1）實(shí)驗(yàn)一在12ms呈現(xiàn)時(shí)間條件下，判斷表情任務(wù)的正確率顯著高于判斷性別任務(wù)的正確率（t=3.647，，p0.01）；50ms呈現(xiàn)時(shí)間條件下也發(fā)現(xiàn)了相同的結(jié)果（t=2.103，p0.05）。（2）實(shí)驗(yàn)二在12ms呈現(xiàn)時(shí)間條件下，判斷表情任務(wù)的正確率顯著高于判斷性別任務(wù)的正確率（t=4.742，p0.001）；50ms呈現(xiàn)時(shí)間條件下也發(fā)現(xiàn)了相同的結(jié)果（t=2.256，p0.05）。（3）實(shí)驗(yàn)三在50ms呈現(xiàn)時(shí)間條件下，判斷表情任務(wù)的正確率顯著高于判斷性別任務(wù)的正確率（t=3.647，p0.05）。 結(jié)論：（1）在12ms和50ms時(shí)，面孔表情信息識(shí)別比面孔性別信息識(shí)別更準(zhǔn)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(dòng)化水平下，面孔表情信息識(shí)別比面孔性別信息識(shí)別先達(dá)到加工足以做出分類反應(yīng)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(xué)位授予單位】：遼寧師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：B842

【參考文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

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

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