Decisional style, mood and work communication: email diaries

To understand the use of technology to support interpersonal interaction, a theory of decisional style was applied to email use within the workplace. Previous research has used self-report and rating scales to address employee email behaviours, but this falls short of management's capability to monitor the actual behaviour. Thirty-nine employed individuals completed a five-day communication diary recording their actual behaviour upon receiving personal and work-related emails as well as the Melbourne Decision Making Questionnaire and the Depression Anxiety Stress Scales. It was found that vigilant individuals were more likely to use email in an efficient manner by deleting personal email and being less likely to open email later. Procrastinators, buckpassers and people experiencing high levels of negative affect were all more likely to delay dealing with email, which could be viewed as dealing with email in a less efficient manner. STATEMENT OF RELEVANCE: This work offers insights as to how people receive and process emails and is thus relevant to the development and implementation of collaborative technologies. Whilst other studies use individual's self-reports, this study uses a more accurate communication diary. Decisional style can predict the monitoring and response to electronic communication.     

Young adults’ use of communication technology within their romantic relationships and associations with attachment style

In an online survey with two cohorts (2009 and 2011) of undergraduates in dating relationships, we examined how attachment was related to communication technology use within romantic relationships. Participants reported on their attachment style and frequency of in-person communication as well as phone, text messaging, social network site (SNS), and electronic mail usage with partners. Texting and SNS communication were more frequent in 2011 than 2009. Attachment avoidance was related to less frequent phone use and texting, and greater email usage. Electronic communication channels (phone and texting) were related to positive relationship qualities, however, once accounting for attachment, only moderated effects were found. Interactions indicated texting was linked to more positive relationships for highly avoidant (but not less avoidant) participants. Additionally, email use was linked to more conflict for highly avoidant (but not less avoidant) participants. Finally, greater use of a SNS was positively associated with intimacy/support for those higher (but not lower) on attachment anxiety. This study illustrates how attachment can help to explain why the use of specific technology-based communication channels within romantic relationships may mean different things to different people, and that certain channels may be especially relevant in meeting insecurely attached individuals’ needs.     

A multi-user perspective for personalized email communities

Email classification and prioritization expert systems have the potential to automatically group emails and users as communities based on their communication patterns, which is one of the most tedious tasks. The exchange of emails among users along with the time and content information determine the pattern of communication. The intelligent systems extract these patterns from an email corpus of single or all users and are limited to statistical analysis. However, the email information revealed in those methods is either constricted or widespread, i.e. single or all users respectively, which limits the usability of the resultant communities. In contrast to extreme views of the email information, we relax the aforementioned restrictions by considering a subset of all users as multi-user information in an incremental way to extend the personalization concept. Accordingly, we propose a multi-user personalized email community detection method to discover the groupings of email users based on their structural and semantic intimacy. We construct a social graph using multi-user personalized emails. Subsequently, the social graph is uniquely leveraged with expedient attributes, such as semantics, to identify user communities through collaborative similarity measure. The multi-user personalized communities, which are evaluated through different quality measures, enable the email systems to filter spam or malicious emails and suggest contacts while composing emails. The experimental results over two randomly selected users from email network, as constrained information, unveil partial interaction among 80% email users with 14% search space reduction where we notice 25% improvement in the clustering coefficient.     

Configurations of Relationships in Different Media: FtF, Email, Instant Messenger, Mobile Phone, and SMS

This study analyzes the configurations of communication relationships in Korea through face-to-face, email, instant messaging, mobile phone, and short message service media. Through a web survey, we asked respondents to identify (1) for each of the five media (2) up to five of their most frequent communication partners, (3) the partner's social role (including colleagues, family, friends), and (4) their own employment category. Individual-level and network-level analyses were used to compare variations in communication relationships and configurations of relationships among social roles overall, within each medium, and for different employment categories, and to identify configurations of relationships across media. IM, SMS, and mobile phone are distinctive media for students, mobile phone for homeworkers, and email for organizational workers. Moreover, mobile phones tend to be used in reinforcing strong social ties, and text-based CMC media tend to be used in expanding relationships with weak ties. Finally, face-to-face (FtF) seems to be a universal medium without significant differences across respondents' employment categories.     

Individual differences in attachment are associated with usage and perceived intimacy of different communication media

Effective communication is vital to the health and functioning of romantic relationships. Technology use is becoming more pervasive, making it more important than ever to understand which forms of media enhance communication in close relationships. People differ in which communication methods they prefer, and it is important to understand how people perceive and use various media. Our study uses an attachment theory framework to explore how people perceive the intimacy of different media and their preferred methods of communication with romantic partners. We collected online survey data from partnered individuals regarding their romantic attachment orientation, perceptions of the intimacy of various media (face-to-face, phone call, text message, email), and preferred use of those media for communicating with romantic partners. People with a more avoidant attachment orientation (i.e., who prefer self-reliance over interdependence) were less likely to prefer communication methods that are generally perceived as more close and immediate (e.g., face-to-face); however, our findings suggest that avoidant individuals prefer not to use these methods because they perceive them to be less intimate and less likely to resolve interpersonal conflicts. Our findings suggest that certain forms of communication may be more beneficial for avoidant individuals and their romantic relationships.     

The impact of ICT on work–life experiences among university Teaching Assistants

Email is now commonplace in the university environment, but little research has addressed the impact of this technology on the work–life experiences of Teaching Assistants (TAs). These workers are of interest as they are typically responsible for most day-to-day, routine interaction with undergraduates, for ensuring students understand lectures and other course materials, and for assessing student work. In the summer of 2006, we undertook a web-based survey of Teaching Assistants at a major Canadian university. We wanted to examine the impact of and experience with information and communication technologies (ICTs) – in this case, the ubiquitous email. We found that these academic workers made extensive use of email, and that their experiences and attitudes were mixed. While relatively few expressed a desire to completely eliminate email use in their practice, problems such as feeling ‘overburdened’ by student email were common. Respondents who had set in-person office hours were twice as likely to assert that email increased their workload, that they felt overburdened by student email, and that they preferred not to communicate with students over email. There were also unexpected differences among TAs in the arts/social sciences compared to those in the math/science disciplines. Our data calls into question the largely optimistic orientation common in research reporting at the nexus point of education and ICTs, and suggests that an approach that is both critical and constructive is warranted when thinking about technology and academic work–life.     

Seven Highly Successful Habits of Enterprise Email Managers: Ensuring that your employees' email usage is not putting your company at risk

Abstract

The rise of regulatory oversight and privacy concerns, the exponential growth in the amount of email, the lack of email discipline by employees, and the ubiquity of email as a primary communications mechanism have created new risks for companies and businesses of every size. It is not only the disgruntled worker you should be worried about—it is likely your star performers who are unknowingly placing your company at risk while just trying to do their jobs. They are emailing data to their personal accounts and/or to customers or partners, all in the clear and often without anyone knowing until it is too late to stop the security or ethical breach.     

The Effect of Communication Medium on Research Participation Decisions

Students are often used in research as research subjects or to validate/pilot questionnaires. It is known that response rates to requests to participate in research projects vary as a function of a number of factors. This research brief examines the effect of the communication medium on response rate by comparing an oral request for participation with an email request. Email and oral communication, specifically public oral communication, are the two easiest and presumably most common approaches faculty members have to access students to request their participation in research. Results show that an impersonal email to a mailing list is the worst way researchers can approach students to request participation, with there being no difference between making the request by personalized email or orally.     

A comparison study of user behavior on Facebook and Gmail

Email is one of the most important communication media to date, and millions of Internet users around the world spend the bulk of their time writing and reading electronic messages. The growing popularity of Social Network Sites (SNS) as a communication medium motivated us to explore the relationship between user behavior on SNS and email. In this paper, we collected objective, privacy-preserved behavior data from participants that were both active Facebook and Gmail users. We show that a large proportion of social interactions still occur through email messages, while participants tend to be more emotional on Facebook. We found that producing more content on Facebook does not necessarily decrease or increase the production of emails. By utilizing the quantitative analysis of usage data instead of surveys, we show that user behavior is likely consistent across SNS and email in some aspects, for example, users with more Facebook friends seem to email to more people, Facebook and Gmail share similar trend of “happiness”.     

College Students' Use of Relational Management Strategies in Email in Long-Distance and Geographically Close Relationships

This study examines how email is utilized to enact maintenance behaviors in interpersonal relationships and explores whether geographic distance between individuals affects this process. Two hundred twenty-six college students accumulated personal email messages over a one-week period. These emails were coded using Canary and Stafford's (1994) maintenance strategy topology. Results indicate that self-disclosure (openness), discussing social networks, and positivity were the main categories found in email to family members and friends. For romantic partners, the most common categories were assurances, openness, positivity, and discussing social networks. Romantic partners and family members were more likely than friends to use assurances, and family members were more likely than romantic partners to refer to the social network. There were few differences between geographically close and long-distance interpersonal relationships.     

Computer-mediated communication in collaborative writing

The purpose of this study was to determine if using computers to communicate during group writing tasks is an effective mode of communication. Three-person teams wrote term papers in one of three conditions: face-to-face (FTF), synchronous computer-mediated communication (Netmeeting), or email. The participants were given 6 weeks to complete the task. Product differences showed only that email groups produced shorter rough drafts than FTF groups, indicating the rough draft was not as well thought out in the email groups. Process measures demonstrated that, overall, communication styles that afforded interactivity were utilized effectively in a collaborative writing setting. Furthermore, lack of expressiveness did not appear to deter groupwork. The results suggest that email alone may not be an appropriate setting for writing collaboratively; whereas teams in a synchronous computer-mediated communication setting, such as Netmeeting, should be able to produce quality work satisfactorily.     

Using mobile communication technology in high school education: Motivation,pressure, and learning performance

Motivation and pressure are considered two factors impacting vocational senior high school student learning. New communication technology, especially mobile communication technology, is supposed to be effective in encouraging interaction between the student and the instructor and improving learning efficiency. Social presence and information richness theory was applied to analyze the media and their impacts on the instruction process firstly. Then the author observed firstly the impact of using individual communication technologies – namely Short Message Service (SMS), email, and online forum – on student learning motivation, pressure, and performance, based on a comparative investigation of 176 students. Then the impacts of using combination of mobile and Internet communication technology – SMS + email, SMS + online forum – were examined with another experiment of 45 students. The result showed that instant messaging helps bonding the two roles – student and instructor – in the instruction process effectively. When combined with Internet communication media, it can significantly increase student extrinsic motivation without causing higher pressure. Additionally, communication media demanding public expression rather than private dialogue should be adopted with careful consideration, since they may raise student pressure.     

You’ve got email! Does it really matter to process emails now or later?

Email consumes as much as a quarter of knowledge workers’ time in organizations today. Almost a necessity for communication, email does interrupt a worker’s other main tasks and ultimately leads to information overload. Though issues such as spam, email filtering and archiving have received much attention from industry and academia, the critical problem of the timing of email processing has not been studied much. It is common for many knowledge workers to check and respond to their email almost continuously. Though some emails may require very quick responses, checking emails almost continuously may lead to interruptions in regular knowledge work. Managing email processing can make a significant difference in an organization’s productivity. Previous research on this topic suggests that perhaps the best way to minimize the effect of interruptions is to process email frequently for example, every 45 min. In this study, we focus on studying email response timing approaches to optimize the communication times and yet reduce the interruptive effects. We investigate previous recommendations by performing a two-phase study involving rigorous simulation experiments. Models were developed for identifying efficient and effective email processing policies by comparing various ways to reduce interruptions for different types of knowledge workers. In contrast to earlier research findings, results indicate that significant productivity improvements could be achieved through the use of some email processing policies while helping attain a balance between email response time and task completion time. Findings also suggest that the best policy may be to respond to email two to four times a day instead of every 45 min or continuously, as is common with many knowledge workers. We conclude by presenting many research opportunities for analytical and organizational IS researchers.     

The impact of study load on the dynamics of longitudinal email communications among students

With the advent of information technology, emails have gained wide acceptability among students as an asynchronous communication tool. According to the current pedagogy literature the overall trend of the use of email communication by university students has been increasing significantly since its inception, despite the rapid growth of the popularity and acceptability of other social mediums (e.g. Mobile phone and Facebook). In this study, we explore a longitudinal email communication network, which evolved under an increasing study load among 38 students throughout a university semester, using measures of social network analysis (SNA) and exponential random graph (ERG) models. This longitudinal network was divided into three waves, where each wave represents the portion of the complete longitudinal network that evolves between two consecutive observations. An increased study load was imposed through the assessment components of the course. SNA measures of degree centrality (i.e. the activity of an actor or actor popularity), betweenness centrality (i.e. the capacity to control the flow of information in a network), closeness centrality (i.e. reachable to other nodes) and reciprocity (i.e. tendency to make reciprocal links) are considered to explore this longitudinal network. ERG models are probabilistic models that are presented by locally determined explanatory variables and can effectively identify structural properties of networks. From the analysis of this email communication network, we notice that students' network positions and behaviours change with the changes in their study load. In particular, we find that (i) students make an increased number of email communications with the increase of study load; (ii) the email communication network become sparse with the increase of study load; and (iii) the 2-star parameter (a subset of three nodes in which one node is connected to each of the other two nodes) and the triangle parameter (a subset of three nodes in which each node is connected to the other two nodes) can effectively explain the formation of network in wave3; whereas, the 3-star parameter (a subset of four nodes in which one node is connected to each of other three nodes) can effectively explain the formation of network in wave1 and wave2. Interpretations of these findings for the monitoring of student behaviour in online learning environments, as well as the implications for the design of assessment and the use of asynchronous tools are discussed in this paper.     

基于个性特征仿真邮件分析系统挖掘犯罪网络核心

数据挖掘应用于犯罪集团或恐怖组织社会网络分析是一种新兴的研究方法,国内外在分析犯罪和恐怖组织之间通信行为方面的研究工作亟待深入.为了模拟社会网络中个体利用电子邮件进行通信的规律,设计了一种基于个性特征的仿真邮件分析系统MEP,提出一种利用个性特征判别矩阵计算个性特征矢量各个维度权重的新方法,借助符合用户个性特征的正态分布模型模拟真实的邮件通信行为.为了挖掘犯罪网络的核心成员,提出了一种基于社会网络分析挖掘犯罪组织核心成员的算法CNKM(Crime Network Key Membermining),并利用时间序列分析方法对邮件的收发规律进行深入分析,发现异常通信事件.实验证明了该文提出的仿真邮件分析系统的有效性和实用性,模拟邮件通信的平均误差小于10%,并验证了CNKM算法的有效性.     

全无线视频报警系统设计与实现

介绍了一种新型的嵌入式全无线视频报警系统的设计方案。该方案结合先进的网络技术、无线通信技术及多媒体技术,开发出一种新模式报警系统,实现了将视频监控系统采集的现场实时图像发到用户手机上或电子邮箱中的功能,可使用户对现场进行实时掌控。     

Interactivity in human–computer interaction: a study of credibility, understanding, and influence

Advancements in computer technology have allowed the development of human-appearing and -behaving virtual agents. This study examined if increased richness and anthropomorphism in interface design lead to computers being more influential during a decision-making task with a human partner. In addition, user experiences of the communication format, communication process, and the task partner were evaluated for their association with various features of virtual agents. Study participants completed the Desert Survival Problem (DSP) and were then randomly assigned to one of five different computer partners or to a human partner (who was a study confederate). Participants discussed each of the items in the DSP with their partners and were then asked to complete the DSP again. Results showed that computers were more influential than human partners but that the latter were rated more positively on social dimensions of communication than the former. Exploratory analysis of user assessments revealed that some features of human–computer interaction (e.g. utility and feeling understood) were associated with increases in anthropomorphic features of the interface. Discussion focuses on the relation between user perceptions, design features, and task outcomes.     

Social feature-based enterprise email classification without examining email contents

Without imposing restrictions, many enterprises find nonwork-related contents consuming network resources. Business communication over emails thus incurs undesired delays and inflicts damages to businesses, explaining why many enterprises are concerned with the competition to use email services. Obviously, enterprises should prioritize business emails over personal ones in their email service. Therefore, previous works present content-based classification methods to categorize enterprise emails into business or personal correspondence. Accuracy of these methods is largely determined by their ability to survey as much information as possible. However, in addition to decreasing the performance of these methods, monitoring the details of email contents may violate privacy rights that are under legal protection, requiring a careful balance of accurately classifying enterprise emails and protecting privacy rights. The proposed email classification method is thus based on social features rather than a survey of emails contents. Social-based metrics are also designed to characterize emails as social features; the obtained features are treated as an input of machine learning-based classifiers for email classification. Experimental results demonstrate the high accuracy of the proposed method in classifying emails. In contrast with other content-based methods that examine email contents, the emphasis on social features in the proposed method is a promising alternative for solving similar email classification problems.     

基于P2P协作的垃圾邮件发送行为识别技术研究

在分析目前垃圾邮件过滤技术的基础上,并根据垃圾邮件大量发送行为特征,提出了一种基于P2P协作的垃圾邮件发送行为识别技术。该技术将各邮件服务器组成一个反垃圾邮件（Anti-Spam）P2P网络,每个邮件服务器储存可疑邮件信息并将这些信息共享在Anti-Spam P2P网络上,然后根据可疑邮件信息在Anti-Spam P2P网络上进行协作识别垃圾邮件。实验结果表明,该技术是针对垃圾邮件的群发特征而不依赖于邮件内容、语言类型或格式分析,在MTA阶段就能过滤大量垃圾邮件,提高了处理速度和准确率并节省大量的系统资源,具有良好的过滤性能。     

An approach for temporal analysis of email data based on segmentation

Many kinds of information are hidden in email data, such as the information being exchanged, the time of exchange, and the user IDs participating in the exchange. Analyzing the email data can reveal valuable information about the social networks of a single user or multiple users, the topics being discussed, and so on. In this paper, we describe a novel approach for temporally analyzing the communication patterns embedded in email data based on time series segmentation. The approach computes egocentric communication patterns of a single user, as well as sociocentric communication patterns involving multiple users. Time series segmentation is used to uncover patterns that may span multiple time points and to study how these patterns change over time. To find egocentric patterns, the email communication of a user is represented as an item-set time series. An optimal segmentation of the item-set time series is constructed, from which patterns are extracted. To find sociocentric patterns, the email data is represented as an item-setgroup time series. Patterns involving multiple users are then extracted from an optimal segmentation of the item-setgroup time series. The proposed approach is applied to the Enron email data set, which produced very promising results.