沟通语音与沟通风格对决策者接受建议的影响

发布时间：2018-05-29 13:55

本文选题：人机交互 + 合成语音　；参考：《科技导报》2013年26期

【摘要】：人机系统中广泛采用计算机合成语音为决策者提供建议。为了比较合成语音与自然语音以及直接和含蓄的沟通风格对不同国家决策者的影响,通过实验的方法,招募了24位中国学生和24位德国学生参与决策实验,测量决策者对建议的接受度,自信水平的改变度,感知的影响,以及对建议者的信任度、满意度和未来合作意向。统计分析结果显示,相比自然语音,合成语音建议显著提高决策者的自信水平,但是决策者对合成语音建议感知的影响较弱且未来合作意向较低。总体来看,直接的沟通风格比含蓄的沟通风格更容易被决策者接受并获得决策者更高的评价。当采用直接的沟通风格时,德国决策者比中国决策者感知到更强的影响;当采用含蓄的沟通风格时,中国决策者比德国决策者对建议的接受度更高。研究结果为合成语音软件的设计提供了指导。
[Abstract]:Computer speech synthesis is widely used in man-machine system to provide advice for decision makers. In order to compare the effects of synthetic speech and natural speech and direct and implicit communication styles on decision makers in different countries, 24 Chinese students and 24 German students were recruited to participate in the decision making experiment. Measure the decision makers' acceptance of recommendations, changes in confidence levels, perceived impact, and confidence, satisfaction, and future cooperation intentions of the proponents. The results of statistical analysis show that compared with natural speech, synthetic speech advice can significantly improve the confidence level of decision makers, but the influence of decision makers on the perception of synthetic speech advice is weak and the intention of future cooperation is lower. Generally speaking, direct communication style is easier to be accepted and evaluated by decision makers than implicit communication style. When the direct communication style is adopted, the German policy makers are more sensitive to the influence than the Chinese policy makers, and when the implicit communication style is adopted, the Chinese policy makers are more receptive to the suggestions than the German policy makers. The results provide guidance for the design of synthetic speech software.
【作者单位】：清华大学工业工程系人因与工效学研究所;
【基金】：国家杰出青年基金项目(71188001) 国家自然科学基金重点项目(71031005)
【分类号】：C934

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