A novel mobile device user interface with integrated social networking services

Modern mobile devices support accessing Web-based social networking services from the user interface (UI) of Web browsers, applications, and mobile widgets. While effectively accessing these services, people may find it tedious to switch between multiple user interfaces in order to be aware of the latest content. Aiming for an improved user experience, we experimented with integration of these services into mobile devices' main user interface. The integrated content is presented beyond application silos and automatically filtered to highlight the relevant elements. A mobile system called LinkedUI was developed and deployed in one lab test and one field study. Three findings emerge from these studies. Firstly, it is feasible to construct an alternative device UI that supports integration of Web content across applications and services via hyperlinking. Time, publisher (e.g., contacts), content types, and geographical locations are key dimensions for association of content. Secondly, the alternative device UI enables better usability of accessing social networking services than accessing them from individual Web sites on mobile devices. It helps people to be aware of the latest content during microbreaks. Thirdly, automatic filtering, on the basis of one user's data, is one promising approach to identifying relevant content. Given filtered content, most people using the automatic filtering approved the functionality and experienced a better sense of control that is arguably due to the reduced information volume.     

Providing user context for mobile and social networking applications

The processing capabilities of mobile devices coupled with portable and wearable sensors provide the basis for new context-aware services and applications tailored to the user environment and daily activities. In this article, we describe the approach developed within the UPCASE project, which makes use of sensors available in the mobile device as well as sensors externally connected via Bluetooth to provide user contexts. We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information in web-centered servers that support well-known social networking services. In the current prototype, context inference is based on decision trees to learn and to identify contexts dynamically at run-time, but the middleware allows the integration of different inference engines if necessary. Experimental results in a real-world setting suggest that the proposed solution is a promising approach to provide user context to local mobile applications as well as to network-level applications such as social networking services.     

Brand interactions and social media: Enhancing user loyalty through social networking sites

This paper aims to investigate how user loyalty can be achieved and maintained through social networking sites. More specifically, we intend to test the relationships between brands, user loyalty and social media. The research thus provides insights into user-brand relationships through social media and argues how loyal customers can be through social networking websites. Although there are considerable numbers of studies about loyalty; there exists very limited work studying user loyalty through social networking websites. This research presents clearly the reasons for engaging with brands online and examines user behaviors and loyalty. Research provided strong evidence that majority of the social network users follow brand fan pages via social media, even though they have different reasons to do so. The study also measures users’ behavioral and attitudinal loyalty behaviors. Their level of trust to the information they obtained about brands through social media is also established. The hypotheses tested show that brands and customer satisfaction are both positively related to users’ behavioral loyalty.     

Online named entity recognition method for microtexts in social networking services: A case study of twitter

Named entity recognition (NER) methods have been regarded as an efficient strategy to extract relevant entities for answering a given query. The aim of this work is to exploit the conventional NER methods for analyzing a large set of microtexts of which lengths are short. Particularly, the microtexts are streaming on online social media, e.g., Twitter. To do so, this paper proposes three properties of contextual association among the microtexts to discover contextual clusters of the microtexts, which can be expected to improve the performance of NER tasks. As a case study, we have applied the proposed NER system to Twitter. Experimental results demonstrate the feasibility of the proposed method (around 90.3% of precision) for extracting relevant information in online social network applications.     

Assessing flow experience in social networking site based brand communities

The sustenance of the Social Networking Site (SNS)-based brand communities relies on user retention and their active participation. Therefore, understanding the intrinsic aspects of user behavior in such communities is important for devising strategies to ensure user retention and active participation. Especially, information about the elements that induce flow experiences—the intrinsically enjoyable and immersive experiences—of users in SNS has become important for organizations that host online communities. In our empirical study, we chose to focus especially on SNS-based brand communities, as they are increasingly interesting from an organization-community interaction perspective, but they lack the instruments needed for measuring user experience. The present study addresses this gap by developing an instrument aimed at measuring the user’s flow experience on SNS-based brand communities. A cross-sectional survey with 577 Facebook brand community users was carried out. The findings show that enjoyment, concentration, and social interaction are the components that constitute a user’s flow experience. In addition to providing a valuable tool for business practitioners, the developed instrument offers several theoretical and practical implications for improving user experience of social media.     

Customer benefits and value co-creation activities in corporate social networking services

Despite the growing importance of customers as value co-creators, little is known about their reasons for voluntarily participating in value co-creation activities. Based on expectancy-value theory, this paper empirically examines the specific benefits that customers anticipate from engaging in certain co-creation activities. Furthermore, it examines the manner in which interactions between customer benefits and joint activities/industry types influence customers’ intentions to continuously engage in value co-creation in the context of corporate social networking service (SNS)-based virtual customer environments (VCEs). Study data were collected from 327 corporate Facebook and Twitter VCE users through an online panel survey. Results of the main effect relationships reveal that all three customer benefits – cognitive, social integrative, and hedonic – significantly impacted customer intentions to continuously participate in value co-creation. Furthermore, the benefit–intention relationships differed depending upon the type of co-creation activities (e.g. ideation, design, testing, support, and marketing) and industry characteristics. Theoretical discussions about these results are provided, and implications for future research and practice are presented.     

Investigating the intention to purchase digital items in social networking communities: A customer value perspective

Some social networking community service providers have earned revenue by selling digital items to their community members. We examined SNC member decisions to purchase digital items based on customer value theory. Six factors were extracted from three dimensions of customer value: functional, social, and emotional value. Our findings indicated that the effects of value on member purchase intentions were significant in terms of the emotional and social dimensions. Our results should help SNC providers by improving their sales of digital items.     

A web-based tool for eliciting probability distributions from experts

We present a web-based probability distribution elicitation tool: The MATCH Uncertainty Elicitation Tool. The Tool is designed to help elicit probability distributions about uncertain model parameters from experts, in situations where suitable data is either unavailable or sparse. The Tool is free to use, and offers five different techniques for eliciting univariate probability distributions. A key feature of the Tool is that users can log in from different sites and view and interact with the same graphical displays, so that expert elicitation sessions can be conducted remotely (in conjunction with tele- or videoconferencing). This will make probability elicitation easier in situations where it is difficult to interview experts in person. Even when conducting elicitation remotely, interviewers will be able to follow good elicitation practice, advise the experts, and provide instantaneous feedback and assistance.     

Dissecting emotion and user influence in social media communities: An interaction modeling approach

Human emotion expressed in social media plays an increasingly important role in shaping policies and decisions. However, the process by which emotion produces influence in online social media networks is relatively unknown. Previous works focus largely on sentiment classification and polarity identification but do not adequately consider the way emotion affects user influence. This research developed a novel framework, a theory-based model, and a proof-of-concept system for dissecting emotion and user influence in social media networks. The system models emotion-triggered influence and facilitates analysis of emotion-influence causality in the context of U.S. border security (using 5,327,813 tweets posted by 1,303,477 users). Motivated by a theory of emotion spread, the model was integrated in an influence-computation method, called the interaction modeling (IM) approach, which was compared with a benchmark using a user centrality (UC) approach based on social positions. IM was found to have identified influential users who are more broadly related to U.S. cultural issues. Influential users tended to express intense emotions of fear, anger, disgust, and sadness. The emotion trust distinguishes influential users from others, whereas anger and fear contributed significantly to causing user influence. The research contributes to incorporating human emotion into the data-information-knowledge-wisdom model of knowledge management and to providing new information systems artifacts and new causality findings for emotion-influence analysis.     

Retaining and attracting users in social networking services: An empirical investigation of cyber migration

Users are the most critical strategic resource of any online social networking service (SNS). This paper offers strategic recommendations for SNS providers based on an empirical study exploring why users switch from a primary SNS to others. We first identify important characteristics that combine to distinguish SNSs from conventional information systems, then develop a “cyber migration” research model that includes push, pull and mooring factors which influence user intention to switch from one SNS to another. Findings from a field survey of 180 users reveal four significant factors that promote switching: dissatisfaction with socialization support, dissatisfaction with entertainment value, continuity cost, and peer influence. Strategies grounded in these factors are suggested for SNS providers to better attract and retain users.     

Technostress and social networking services: Explaining users' concentration,sleep, identity,and social relation problems

It is common for users of social networking sites and services (SNS) to suffer from technostress and the various associated strains that hinder their well‐being. Despite prior SNS stress studies having provided valuable knowledge regarding SNS stressors and their use consequences, they have not examined the various strains related to well‐being that those stressors can create nor the underlying SNS characteristics. To address this gap in the research, we used a qualitative approach involving narrative interviews. As a contribution, our findings reveal four types of strains related to well‐being (concentration problems, sleep problems, identity problems, and social relation problems) as well as two different patterns with distinct sets of SNS stressors and SNS characteristics that generate those strains. As practical implications, the findings of this study can help technostressed users to identify their strains, understand their underlying SNS characteristics and SNS stressors, and increase the possibility that they will be able to avoid the strains in the future.     

Product recommendation in online social networking communities: An empirical study of antecedents and a mediator

Intention to facilitate individual voluntary product recommendation in online social networking communities has attracted increased attention. However, it is not obvious why individuals recommend products in a community composed of non-transactional users. What are the critical factors influencing such a behavior? To attempt to provide insights into the product recommendation behavior in online social networking communities, we develop a model to investigate the effects of community atmospheric cues on affective social distance and subsequent product recommendations based on the stimulus–organism–response paradigm. By analyzing the results of a survey using a questionnaire, we found that community reciprocity and community receptivity have a direct influence on product recommendation, while community atmospheric cues have an indirect influence through affective social distance. Theoretical and managerial implications are discussed.     

Private Camera Conversation: a new method for eliciting user responses?

This paper discusses a new method called Private Camera Conversation. This method can be used to elicit user opinions on various subjects like their use of products. Initial impressions of the method are given on the basis of three small studies in which the method was employed. The method has not yet been validated and compared with existing human factors methods. This study reports the first findings of the application of the method. With Private Camera Conversation people are invited to talk about a particular topic in private to a video camera. The participants themselves decide when they want to start and when they want to stop the recording session. Initial impressions arc that the method has potential benefits for eliciting rich and useful responses even with respect to 'personal' issues. The Private Camera Conversation method seems particularly suitable for obtaining information about the social context in which products are used and about qualitative aspects of product use. The method is inviting and entertaining for participants and easy and effective to carry out. Optimal exploitation of the method has to be realized through further development. We hope this article will be a catalyst for further research.     

Private Camera Conversation: a new method for eliciting user responses?

Abstract

This paper discusses a new method called Private Camera Conversation. This method can be used to elicit user opinions on various subjects like their use of products. Initial impressions of the method are given on the basis of three small studies in which the method was employed. The method has not yet been validated and compared with existing human factors methods. This study reports the first findings of the application of the method. With Private Camera Conversation people are invited to talk about a particular topic in private to a video camera. The participants themselves decide when they want to start and when they want to stop the recording session. Initial impressions arc that the method has potential benefits for eliciting rich and useful responses even with respect to ‘personal’ issues. The Private Camera Conversation method seems particularly suitable for obtaining information about the social context in which products are used and about qualitative aspects of product use. The method is inviting and entertaining for participants and easy and effective to carry out. Optimal exploitation of the method has to be realized through further development. We hope this article will be a catalyst for further research.     

IP routers: new tool for gigabit networking

IP routing continues to receive much attention from the research and vendor communities. Its primary function-forwarding packets between networks-must keep pace with the demands of the exponentially growing end user population. It must accommodate attachment of gigabit data link technologies such as ATM, packet Sonet, Gigabit Ethernet, and dense wave division multiplexing, and fill those links at full capacity. As network providers introduce new services supporting multicast, QoS, voice, and security, IP routing-and more specifically the IP forwarding function-will be called upon to analyze additional packet information at gigabit rates to determine how each packet should be handled. Performing these new functions while maintaining parity with the advances in available bandwidth will present an interesting challenge for the forwarding capabilities of IP routers. Indeed, for the Internet to scale, we must scale all dimensions of the IP routing process     

A method and advisor tool for multimedia user interface design

This paper describes a multimedia user interface design method and a design assistant tool which supports the method. The method covers specification of user requirements and information architecture, selection of appropriate media to represent the information content, design for directing attention to important information and interaction design to enhance user engagement. Guidelines for media selection and design for attractiveness, i.e. usability and user experience, are given. The method was evaluated in a case study design of a crowd control simulation training system, which demonstrated the method was usable and gave good solutions against an expert gold standard design. The tool provides advice on media selection and attention effects that match specification of the information content expressed as information types and communication goals. A usability evaluation was carried out to measure the usefulness and effectiveness of the tool in comparison to the method, and the results showed that the tool has a positive impact on multimedia design.