Deciding Fast and Slow in Risk Decision Making: An Experimental Study

The current study presents findings of an experiment. Response time was used to investigate fast deciders’ (FD) and slow deciders’ (SD) behavioral differences. SDs were found to be more cognitive than FDs and this could induce an increase in average response time. Both FDs and SDs showed aversion to extreme options, but they behaved differently with option ‘S’ being “safer” among groups. Moreover, FDs responded more instinctively to negative feedbacks

Measuring The User Experience And Its Importance To Customer Satisfaction: An Empirical Stusy For Telecom e-Service Websites

In telecom settings, using e-service website has become an increasingly common activity among mobile users. As an important channel, website users experience that quality plays a key role for e-service or business successes. With the use of an online structured questionnaire, a total of 20,040 were surveyed to answer the questions in thirty-one provinces in China. With methods of Principal Component Analysis, a five-factor e-service website user experience questionnaire was examined, and the factors of perceived functional completion, perceived websites performance, quality of interface and interaction, quality of content and information, and quality of online customer support or service were found effectively to measure e-service website user experience quality. In addition, all of these five aspects in e-service website user experience were found to be significant in predicting overall customer satisfaction

Impact of Mental Rotation Strategy on Absolute Direction Judgments: Supplementing Conventional Measures with Eye Movement Data

By training participants to use map-first mental rotation as their primary strategy on absolute navigational task, this study focused on how integration of heading information (from the exocentric reference frame) with target position information (from the egocentric reference frame) affects absolute direction judgments. Comparing with previous studies, the results in this study showed (1) response was not better for north than for south, (2) response was the slowest for back position in canonical position condition, and (3) the cardinal direction advantage of right-back position was not impaired. Eye movement data supported these conclusions partially, and should be cautious to use for similar goals. These findings can be applied to navigational training and interfaces design such as electric space

The Influence of Automation and Culture on Human Cooperation

Part 2: Workplace and Work Experience Analysis for Interaction DesignInternational audienceIn recent years, intelligent machines which can act on our behalf, such as autonomous vehicles, are in increasing numbers. They follow preset procedures and make decisions for people when certain conditions are reached. These machines improve the efficiency of our daily life as well as bring us a new paradigm of interaction with other people. Setting the program for the machine in advance enables us to make an early decision and provides us with a chance to think more comprehensively from a macro perspective. In this case, how the change of this decision-making paradigm will affect our cooperative behavior with others is the main research question of this study. This article proved that the cooperation rate of participants interacting with others by programming the autonomous vehicle in advance was higher than the direct interaction cooperation rate. A conclusion can be drawn through the experiment that when the system can automatically make decisions and participants can modify the decisions, the higher the initial cooperation rate of the system was, the higher the final cooperation rate of the participants would be. From this, it can be preliminarily concluded that the automation system can guide people to choose cooperation more. In addition, compared with the results of similar studies abroad, it can be found that people’s cooperative behavior is different due to different cultural backgrounds. Chinese culture advocates the doctrine of the mean, and the participants’ choices of cooperation or betrayal are more balanced. In contrast, western culture is more rational and extreme, in which a large part of the participants chooses to cooperate completely or betray completely

Internet use and its impact on engagement in leisure activities in China.

INTRODUCTION: Internet use has become an increasingly common leisure time activity among Chinese citizens. The association between Internet use and engagement in leisure activities is especially unclear among China population. This study aims to investigate Internet usage and to determine whether active Internet use is a marker for low or high levels of leisure time activities. METHODS/PRINCIPAL FINDINGS: With the use of a face-to-face structured questionnaire interview, a total of 2,400 respondents who met all screening requirements were surveyed to answer the questions in eight major cities in China. 66.2% (n = 1,589) of all respondents were identified as Internet users. Of these Internet users, 30.0%, 24.1%, 26.4%, and 19.6% were clustered as "informative or instrumental users," "entertainment users," "communication users," and "advanced users," respectively. Regarding time spent on Internet use in leisure time, more than 96% reported going online in non-work situations, and 26.2% (n = 416) were classified as "heavy Internet users." A logistic regression analysis revealed that there were significant differences in some leisure activities between non-Internet users and Internet users, with an observed one-unit increase in the leisure time dependence category increasing the probability of engaging in mental or social activities. In contrast, Internet users were less engaged in physical exercise-related activities. In addition, advanced Internet users were generally more active in leisure time activities than non-Internet users and other types of users. CONCLUSION/SIGNIFICANCE: Internet use is one of very common leisure activities in Chinese citizens, and age, gender, income, and education are the key factors affecting Internet access. According to different types of leisure activities, Internet usage has different impacts on leisure activity engagement. High Internet dependence has no significant negative influence on engagement in mental or social leisure activities, but this group respondent tended to be less engaged in physical activities

Chinese Color Preference in Software Design

Three experiments were designed to investigate the color preference of User Interface of Chinese youth. Background color and foreground color, as well as their combinations were examined. The results showed that: 1, Blue, purple, gray-blue and cyan were the more popular background color. 2, the foreground color preference was influenced by the background color, but white, yellow series and green series were all popular foreground colors for the background color of blue, purple and gray-blue. The discrimination of participants for graphic was better than that for characters. Some mechanism and implications were discussed

Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs

<div><p>The current study is the first to investigate the contribution of compensatory beliefs (i.e., the belief that the negative effects of an unsafe behavior can be "neutralized" by engaging in another safe behavior; e.g., "I can use a mobile phone now because I will slow down ") on drivers’ mobile phone use while driving. The effects of drivers’ personal characteristics on compensatory beliefs, mobile phone use and self-regulatory behaviors were also examined. A series of questions were administered to drivers, which included (1) personal measures, (2) scales that measured compensatory beliefs generally in substance use and with regard to driving safety, and (3) questions to measure drivers’ previous primary mobile phone usage and corresponding self-regulatory actions. Overall, drivers reported a low likelihood of compensatory beliefs, prior mobile phone use, and a strong frequency of self-regulatory behaviors. Respondents who had a higher tendency toward compensatory beliefs reported more incidents or crash involvement caused by making or answering calls and sending or reading messages. The findings provide strong support for the contribution of compensatory beliefs in predicting mobile phone usage in the context of driving. Compensatory beliefs can explain 41% and 43% of the variance in the active activities of making calls and texting/sending messages compared with 18% and 31% of the variance in the passive activities of answering calls and reading messages. Among the regression models for predicting self-regulatory behaviors at the tactical or operational level, compensatory beliefs emerge as significant predictors only in predicting shorter conversations while on a call. The findings and limitations of the current study are discussed.</p></div

Descriptive statistics and zero-order correlations between the study variables.

<p>Descriptive statistics and zero-order correlations between the study variables.</p