纹饰在产品设计中的情感特征与功能

目的对产品造型中的纹饰符号特性、纹饰与产品商业价值的实现、纹饰与民族文化传播进行分析。方法以产品造型的纹饰构成元素特性为基础,通过纹饰符号情感特性的分析,对产品纹饰符号承载人文情感、传递特定文化价值及有效促使产品商业价值实现进行研究。结论通过纹饰与产品造型相互依存关系的理解、基于纹饰传统视觉文化创新发展途径的思考、基于纹饰的文化传播与产品商业价值实现的相互促进关系判别可知,产品造型中的优秀纹饰符号能在强化消费者情感认同的同时促进商业消费行为的达成,并且,在产品以消费形式被广泛传播的同时,依附于纹饰符号的文化现象也得到了有效传播。     

汽车造型的工程属性与情感属性的映射关系研究

目的研究汽车造型中的工程属性与情感属性存在的映射和对应关系,以及对于设计评价的影响。方法通过文献研究和实验分析,揭示了汽车造型中的工程属性与情感属性的映射和转换关系。结论造型中的工程属性能与情感属性存在内在的映射与转化关系,可以提高设计方案在跨学科研发团队中的沟通效率,提高设计创意的"编码"和"解码"。对于汽车创意和评价具有重要的参考价值,可以提高设计方案在跨学科研发团队中的多向沟通效率,提高设计方案的接受度和可行性。     

Coping with information overload in email communication: Evaluation of a training intervention

The present paper introduces three facets of information overload in email communication: A large amount of incoming information, inefficient workflow, and deficient communication quality. In order to cope with these facets of information overload, a training intervention was developed and evaluated. Data were collected from 90 employees on several evaluation levels within a longitudinal evaluation design (one pretest double posttest design). The results reveal that the training contributed to an increase in knowledge and media competencies. We also found evidence for a transfer of training contents to the workplace. Finally, strain diminished on several dimensions. In particular, problems with media usage and work impairment decline significantly, an effect that was stronger for those participants who face a large amount of email at their workplaces.     

基于D-S证据的多语段融合语音情感识别

为获得更丰富的情感信息、有效识别长语音的情感状态,提出基于D-S证据理论的多粒度语段融合语音情感识别方法。采用2种分段方法对语音样本分段,用SVM对语段进行识别,再利用D-S证据理论对各语音段识别结果进行决策融合,得到2种分段方法下语音的情感识别结果,将这2个识别结果进一步融合得到最终结果。实验结果表明,该方法具有较好的整体识别性能,能有效提高语音情感的识别率。     

中国传统五色在现代影视中的情感表现

色彩作为一种影视要素、一种感情载体,在影视作品中起着重要作用。中国传统的色彩观念不仅仅表现于艺术的审美创造,同时又具有象征、寓意等。文章通过中国古典色彩中"五色观"的角度分析一些现代优秀影视作品色彩感情,对影视色彩情感表现上进行深层次的思考、探索。     

基于自然接触传感器的智能控制手柄

研究开发了一种用于控制手柄的自然接触传感器组.该传感器组能够实时地测量皮肤血流容积、皮肤导电性、皮肤温度和握力等人体生理信号,同时不会改变和打扰人原来的工作状态.传感器的设计是基于自然接触理念,通过包覆的方式安置到控制手柄上,以保证人和传感器的自然接触,包覆有此类传感器的手柄称为智能控制手柄,实验结果显示智能控制手柄具...     

Simulated environments with animated agents: effects on visual attention,emotion, performance,and perception

This research assessed how emotive animated agents in a simulation‐based training affect the performance outcomes and perceptions of the individuals interacting in real time with the training application. A total of 56 participants consented to complete the study. The material for this investigation included a nursing simulation in which participants interacted with three animated agents. The results of this investigation indicated that both experienced and novice participants focused more visual attention time on the body of the animated agent than the other defined areas of interest in the simulated environment. The results also indicated that novice participants conveyed more neutral facial expressions during the interaction with the animated agents than experience participants. The results of the simulation performance scores indicated that novice participants achieved higher simulation performance scores on the simulation task than experienced participants. Lastly, the results of the agent persona instrument showed that experienced and novice participants perceived the animated agents as facilitators of learning, credible, human‐like and engaging.     

Uncertainties of facial emotion recognition technologies and the automation of emotional labour

ABSTRACT

Automated detection and recognition of faces have been implemented in a broad range of media environments. Following that development, what concerns us in this article is the analysis of emotions from facial expressions using computer-based systems, in relation to which we critically investigate the use of theories of basic emotions. We explore in depth the company Affectiva’s attempts to translate, represent and schematize human emotions, as they raise a variety of problems and issues of uncertainty. We analyse the uncertainties concerning the processing of the human face ‘as image’ due to issues concerning temporality and static images as well as polyphony and modulations of the spectrum of expressions. One of our key arguments concerns the temporal character of human emotions, and we address how algorithmically regulated protocols of discretization may be said to prompt specific patterns of emotional responses and expressions based on an ideal of eliminating uncertainty. Through discussions via art pieces by Lauren McCarthy and Kyle McDonald, we question what happens when the protocols of computer systems start to perform aspects of emotional labour for us, making judgments by predicting adequate emotional responses based on the use of the strict metrics criticized in the article.     

基于词向量模型的情感分析

随着移动互联网的发展,以商品评论等带有主观性的短文本信息急剧增加.海量的文本信息使得人工管理越来越困难.本文以商品评论为研究对象进行情感分析.针对商品评论为短文本的特点,本文在词向量的基础上提出了词向量叠加方法和加权词向量方法进行文本特征的提取,从而更深层次的提取短文本特征.在进行评论情感分析模型性能的比较中,说明了本文所提方法的有效性.基于情感分析技术可以解决人工难以胜任的海量商品评论的分类,方便用户快速获取有效信息.     

Automatic eye fixations identification based on analysis of variance and covariance

Eye movement is the simplest and repetitive movement that enables humans to interact with the environment. The common daily activities, such as reading a book or watching television, involve this natural activity, which consists of rapidly shifting our gaze from one region to another. In clinical application, the identification of the main components of eye movement during visual exploration, such as fixations and saccades, is the objective of the analysis of eye movements: however, in patients affected by motor control disorder the identification of fixation is not banal. This work presents a new fixation identification algorithm based on the analysis of variance and covariance: the main idea was to use bivariate statistical analysis to compare variance over x and y to identify fixation. We describe the new algorithm, and we compare it with the common fixations algorithm based on dispersion. To demonstrate the performance of our approach, we tested the algorithm in a group of healthy subjects and patients affected by motor control disorder.