Do we trust the crowd or information system? Effects of personalization and bandwagon cues on users' attitudes and behavioral intentions toward a restaurant recommendation website

Visual interface cues on many websites can influence Internet users' psychology, especially their perceptions about the site as well as its content (Sundar, 2008). Specifically, presence of commonly used interface cues (e.g., personalization, bandwagon cues) can substantially influence users' attitudes and their behavioral intentions toward websites and their content. This study examined the effect of personalization feature and bandwagon cues (i.e., star ratings, reviews) in a restaurant recommendation website, measuring (a) to what extent users positively perceive and plan on revisiting or sharing the site, and (b) to what degree users favored the recommended restaurant and plan to visit them. A 2 (personalization feature: present vs. absent) × 2 (bandwagon cues: high vs. low) between-subjects experiment showed that personalization feature and bandwagon cues increased positive perceptions and their behavioral intentions toward both the website and the recommended restaurant. Moreover, results revealed that users' perceived relevance as well as perceived novelty mediated the effects of interface cues on their attitudinal and behavioral consequences. Further, the impact of the interface cues on user psychology significantly differed as a function of the other cues. Theoretical and practical implications for future research on the effect of interface cues on user psychology are discussed.     

基于模糊隶属度的人脸图像性别识别

由于人脸面貌特征与性别存在着一定的不确定性,提出了基于模糊隶属度的人脸图像性别识别。用对光照、灰度变化具有较强鲁棒性的局部二进制模式(LocalBinary Pattern,LBP)提取人脸特征,首先将人脸均分为多个子窗口,对所有子窗口提取LBP直方图,然后将这些直方图顺次连接来描述人脸。细致推导了适用于人脸图像性别识别的模糊函数,根据最大隶属度原则,来识别人脸的性别。在FG-NET人脸库及自建的FID人脸库中进行了实验,取得了96%的最高识别率。     

基于情绪特征的中文微博用户性别识别

随着互联网的蓬勃发展,微博受到了越来越多用户的青睐,对微博用户性别的研究也逐渐成为学术界研究的热点。目前,对英文微博文本用户的性别识别已有研究,但针对中文微博用户性别识别的研究较少。从两性表达情绪的差异出发,提出了一种基于情绪特征的中文微博用户性别识别方法。本文考虑的情绪特征包括情绪词特征和与情绪相关的语言风格特征。实验结果表明,利用情绪特征提高了用户性别识别的精度。     

SOLMAR—A computer language for utilizing sonar models

A general high-level users' language for the convenient operation of sonar models is described. It allows the comparison of models and facilitates new model developments. The main features are: a complete default value system for all parameters, an adaptive level of complexity of the program statements, and easy access to data banks.     

A motives framework of social media website use: A survey of young Americans

Social media is increasingly important in daily life and is an especially important social interaction mechanism for young people. Although research has been conducted evaluating user types based on motives for using social media, no such framework has been extended to social media websites. We extend previous research by evaluating the underlying structure of social media website usage motivations using a 13 item survey and evaluations from 19 different social media websites administered to 1686 young Americans. Using a multidimensional scaling approach, we uncover 2 major motive dimensions underlying social media website use: fun-related and content-specific. Based on the derived dimensions, we generate a graphical “quadrant” system for classifying social media websites and depict all 19 social media sites based on their quadrant. We propose that our quadrant system can be used by other researchers to further refine understanding of social media website usage motives.     

The Social Media Disorder Scale

There is growing evidence that social media addiction is an evolving problem, particularly among adolescents. However, the absence of an instrument measuring social media addiction hinders further development of the research field. The present study, therefore, aimed to test the reliability and validity of a short and easy to administer Social Media Disorder (SMD) Scale that contains a clear diagnostic cut-off point to distinguish between disordered (i.e. addicted) and high-engaging non-disordered social media users.Three online surveys were conducted among a total of 2198 Dutch adolescents aged 10 to 17. The 9-item scale showed solid structural validity, appropriate internal consistency, good convergent and criterion validity, sufficient test-retest reliability, and satisfactory sensitivity and specificity. In sum, this study generated evidence that the short 9-item scale is a psychometrically sound and valid instruments to measure SMD.     

实时语音识别系统语言层的改进

该文介绍了在语音识别语言层搜索中为了实时化的需要所做的改进。文章应用词典树技术提高了从拼音到词的查找速度,并且使词典更易动态改动;同时采用多阶段搜索的框架,并在第一阶段搜索中采用一元剪枝和“2.5元”剪枝技术,极大提高了搜索速度。实验表明,在识别率没有受到影响的情况下,识别速度提高了近一倍。     

基于MobileNet-V2模型的性别识别

文章主要将MobileNet-V2模型应用于人脸性别识别,分别对单人脸及多人脸图像集进行性别识别.针对304950张单人脸图像集,实验结果表明,该方法性别识别精度达到98.01％.较MobileNet-V1方法识别精度高3.6个百分点,较ResNet50方法识别精度高3.2个百分点.同时,对多人脸图像进行性别识别,其识...     

The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study

Since the advent of social network sites (SNSs), scholars have critically discussed the psychological and societal implication of online self-disclosure. Does Facebook change our willingness to disclose personal information? The present study proposes that the use of SNSs and the psychological disposition for self-disclosure interact reciprocally: Individuals with a stronger disposition show a higher tendency to use SNSs (selection effect). At the same time, frequent SNS use increases the wish to self-disclose online, because self-disclosing behaviors are reinforced through social capital within the SNS environment (socialization effect). In a longitudinal panel study, 488 users of SNSs were surveyed twice in a 6 months interval. Data were analyzed using structure equation modeling. The proposed reciprocal effects of SNS activities and self-disclosure were supported by the data: The disposition for online self-disclosure had a positive longitudinal effect on SNS use which in turn positively influenced the disposition for online self-disclosure. Both effects were moderated by the amount of social capital users received as a consequence of their SNS use.     

Integration of lexical and syntactical knowledge in a handwriting-recognition system

This article presents a research project carried out with the aim of investigating the improvements in recognition performances that result from the use of linguistic information in a handwriting-recognition system. The purpose of the study was to design a postprocessor that would enhance an existing handwriting-recognition system by identifying and correcting words it did not recognize initially. This was done by integrating linguistic information (both lexical and syntactical) into the system. Every sentence containing one or more incorrect words is parsed and all possible grammatical classes for each incorrect word are listed. Then, a lexical enquiry searches for words in the lexicon corresponding to the grammatical class of the word in question. Finally, a string-comparison algorithm selects only the words in the lexicon that are close to the incorrect word. The results of this experimentation show that such a system is more efficient in correcting words (even highly distorted ones) than conventional systems that only integrate lexical information. In conclusion, the integration of linguistic information to correct words not recognized by a handwritingrecognition system is shown to be an effective approach, and one that might be worth pursuing.     

人脸性别识别综述

该文是对现有的人脸性别识别方法的综述。文中分别介绍了主要的特征提取算法和分类方法,还对一些典型的性别分类方法进行了比较和评价,并在此基础上对人脸性别识别的研究进行了总结和展望。     

On social Web sites

Today hundreds of millions of Internet users are using thousands of social Web sites to stay connected with their friends, discover new “friends,” and to share user-created contents, such as photos, videos, social bookmarks, and blogs. There are so many social Web sites, and their features are evolving rapidly. There is controversy about the benefits of these sites, and there are social issues these sites have given rise to. There are lots of press articles, Wikipedia articles, and blogs—in varying degrees of authoritativeness, clarity and accuracy—about some of the social Web sites, uses of the sites, and some social problems, and business challenges faced by the sites. In this paper, we attempt to organize the status, uses, and issues of social Web sites into a comprehensive framework for discussing, understanding, using, building, and forecasting the future of social Web sites.     

Cyberbullying victimization: Do victims’ personality and risky social network behaviors contribute to the problem?

This study examines the impact of risky social network site practices (SNS) and individual differences in self-disclosure and personality on the likelihood of cyberbullying victimization among young adult Facebook users. Results from 572 respondents show that posting indiscreet or negative content, having Facebook friends who post such content, and number of Facebook friends were all strong predictors of cyberbullying victimization. In addition, most of the personality variables examined (conscientiousness, extroversion, agreeableness, emotional stability, self-disclosure) were significant predictors of at least some of these risky SNS practices. However, only extroversion and openness were significant predictors of cyberbullying victimization. Implications for individuals and organizations are provided.