Users Look Research Articles

Engagement Pattern of Customers in Digital and Social Media Marketing:A Study on Effect of Age group

Convenience, novelty and simplicity are the prominent characteristics of Digital & Social Media Marketing. At the same time, intensity and extensity of marketing activities on social media is a big challenge for any business to plan and handle. This very challenge provokes management studies researchers to explore as much as possible in terms of gathering deeper knowledge and to attempt to make it useful for all stake holders. This paper covers the aspects of 'Age Group' related 'Engagement pattern' within the framework of DSMM. The aim is to create engagement opportunity and build up the relationship value and maintain it with long term objective. It tries to capture as to, how users look at online reviews and online purchases. Finally, their behaviour in terms of sharing the online experiences within friends, family and social group is examined. It is found that DSMM users of all age groups demonstrate quite positive indulgence in checking for online reviews and seeking information in social media. But the inclination to, share online experiences and influence buying decisions of others, actually declines with advancing age groups.

“Quite a Profoundly Strange Experience”: An Analysis of the Experiences of Salvia divinorum Users

ABSTRACTSalvia divnorum (an intense hallucinogen) is currently illegal in New Zealand under the 2014 Psychoactive Substances Amendment Act. Despite this, there is a scarcity of research surrounding Salvia divinorum and its effects in a New Zealand context. To explore the experiences of Salvia divinorum users, an anonymous questionnaire was advertised through flyers placed in locations where young adults congregate. A total of 393 people took part in the online questionnaire in 2010–2011, while salvia was legally available in New Zealand; 167 respondents had used salvia. Thematic analysis was used to analyze the resulting open-ended questionnaire data and three key themes were identified: the effects of salvia; the importance of set and setting; salvia use and pleasure/not-pleasure. Recreational use of salvia was situated within a broader drug landscape, with participants being drug experienced and “drug wise” (Measham, Aldridge, and Parker 2001). Use of salvia also appeared to be intermittent, with its use referred to as a novel experience. Thus, the recent criminalization of salvia under the 2014 Act may see a significant decline in use as experienced drug users look elsewhere for novel drug experiences.

What Searches Do Users Run on PEDro? An Analysis of 893,971 Search Commands Over a 6-Month Period.

Clinicians must be able to search effectively for relevant research if they are to provide evidence-based healthcare. It is therefore relevant to consider how users search databases of evidence in healthcare, including what information users look for and what search strategies they employ. To date such analyses have been restricted to the PubMed database. Although the Physiotherapy Evidence Database (PEDro) is searched millions of times each year, no studies have investigated how users search PEDro. To assess the content and quality of searches conducted on PEDro. Searches conducted on the PEDro website over 6 months were downloaded and the 'get' commands and page-views extracted. The following data were tabulated: the 25 most common searches; the number of search terms used; the frequency of use of simple and advanced searches, including the use of each advanced search field; and the frequency of use of various search strategies. Between August 2014 and January 2015, 893,971 search commands were entered on PEDro. Fewer than 18 % of these searches used the advanced search features of PEDro. 'Musculoskeletal' was the most common subdiscipline searched, while 'low back pain' was the most common individual search. Around 20 % of all searches contained errors. PEDro is a commonly used evidence resource, but searching appears to be sub-optimal in many cases. The effectiveness of searches conducted by users needs to improve, which could be facilitated by methods such as targeted training and amending the search interface.

Moderated Social Media Support Groups for Patients

An increasing number of Internet users look to social media websites for support and encouragement when faced with a health situation. With numerous social media websites available, finding reliable social media-driven support groups to recommend can pose difficulty to librarians and patrons. This article reviews several moderated online social media support groups that can potentially help consumers seeking support. Since there are many groups for many different diseases, criteria were established before selecting them. This list aids librarians in their quest of finding these resources for consumers and will also provide consumers with satisfactory online social media support groups.

Identifying and describing patients' learning experiences towards self-management of bipolar disorders: a phenomenological study.

Existing evidence suggest that patient education in promoting self-management strategies of bipolar disorder (BD) is effective. However, results across the full range of service users with BD vary. Learning experiences of service users look to be a crucial factor to take into account when designing, delivering, and evaluating effective interventions that promote self-management in chronic illness. What learning activities service users actually undertake themselves when self-managing BD that might explain varying success rates, and guide future self-management educational programmes has not been examined. Unlike previous studies that suggest that outcomes in self-management depend on individual learning activities, the current study found that learning to self-manage BD takes place in a social network that functions as a learning environment in which it is saved for service users to make mistakes and to learn from these mistakes. Especially, coping with the dormant fear of a recurrent episode and acknowledging the limitations of an individual approach are important factors that facilitate this learning process. Practitioners who provide patient education in order to promote self-management of BD should tailor future interventions that facilitate learning by reflecting on the own experiences of service users. Community psychiatric nurses should keep an open discussion with service users and caregivers, facilitate the use of a network, and re-label problems into learning situations where both play an active role in building mutual trust, thereby enhancing self-management of BD. Existing evidence suggest that self-management education of bipolar disorder (BD) is effective. However, why outcomes differ across the full range of service users has not been examined. This study describes learning experiences of service users in self-managing BD that provide a possible explanation for this varying effectiveness. We have conducted a phenomenological study via face-to-face, in-depth interviews, guided by a topic list, along service users with BD I or II (n = 16) in three specialised community care clinics across the Netherlands. Interviews were digitally recorded and transcribed verbatim prior to analysis in Atlas.ti 7. Unlike existing studies, which suggest that individual abilities of service users determine outcomes in self-management of BD, the current study found that self-management of BD is a learning process that takes place in a collaborative network. We identified five categories: acknowledgment of having BD, processing the information load, illness management, reflecting on living with BD, and self-management of BD. The success of self-management depends on the acknowledgment of individual limitations in learning to cope with BD and willingness to use a social network as a back-up instead. Especially, the dormant fear of a recurrent episode is a hampering factor in this learning process.

The Best Answers? Think Twice: Identifying Commercial Campagins in the CQA Forums

In an emerging trend, more and more Internet users search for information from Community Question and Answer (CQA) websites, as interactive communication in such websites provides users with a rare feeling of trust. More often than not, end users look for instant help when they browse the CQA websites for the best answers. Hence, it is imperative that they should be warned of any potential commercial campaigns hidden behind the answers. Existing research focuses more on the quality of answers and does not meet the above need. Textual similarities between questions and answers are widely used in previous research. However, this feature will no longer be effective when facing commercial paid posters. More context information, such as writing templates and a user’s reputation track, needs to be combined together to form a new model to detect the potential campaign answers. In this paper, we develop a system that automatically analyzes the hidden patterns of commercial spam and raises alarms instantaneously to end users whenever a potential commercial campaign is detected. Our detection method integrates semantic analysis and posters’ track records and utilizes the special features of CQA websites largely different from those in other types of forums such as microblogs or news reports. Our system is adaptive and accommodates new evidence uncovered by the detection algorithms over time. Validated with real-world trace data from a popular Chinese CQA website over a period of three months, our system shows great potential towards adaptive detection of CQA spams.

사용자의 소셜 카테고리를 이용한 유튜브 동영상 추천 알고리즘

With the rapid progression of the Internet and smartphones, YouTube has grown significantly as a social media sharing site and has become popular all around the world. As users share videos through YouTube, social data are created and users look for video recommendations related to their interests. In this paper, we extract users' social category based on their social relationship and social category classification list using YouTube data. We propose the YouTube recommendation algorithm using the extracted users' social category for more accurate and meaningful recommendations. We show experiment results of its validation.

Views of Indian Dental Students on Tobacco Cessation Counseling and Their Skills as Counselors

ABSTRACT Objectives This study aimed to determine Indian dental students’ views on tobacco cessation counselling, their skills as counsellors and the barriers faced by them. Methods A questionnaire study was conducted among 182 dental students in dental colleges of Faridabad, India. Significant differences among responses and demographic variables were calculated using chi square test. Results Majority (62.1 percent) of the participants indicated willingness to counsel their patients about the effects of tobacco and planned to advise patients about tobacco cessation (90 percent) while 74.2 percent felt that tobacco cessation counselling by dentist would help patients to quit. A majority disagreed that giving tobacco cessation counselling is not a part of their role (78.1 percent) or that they did not consider tobacco cessation counselling a part of their role (74.8 percent). However, 53.3 percent agreed that they do not have sufficient training to provide tobacco cessation counseling. Conclusion Dental students did not show much confidence in providing tobacco cessation counselling despite their perception that tobacco users look forward to them for such counselling.

Analysis of Optimal Brainwave Concentration Model for Wheelchair Input Interface

Users with severe motor ability are unable to control their wheelchair using standard joystick and hence an alternative brainwave control input is preferred. To use such device a concentration is necessary to ensure the user can move as intended. However the model of concentration that can be used for such purpose is still an open problem and need further investigation. In this paper an analysis is performed to determine an optimal concentration model to enable the user to control the wheelchair movement easily. The model is analyzed under two conditions which are in visible mode (user look and focus at the picture) and invisible mode (user imagine about the picture). Each of the pictures represents the wheelchair's movements which are left, right, front and reverse. The EEG signal is analyzed by utilizing signal peak and average features generated by using Fast Fourier Transform (FFT) from the EEG's attention sensing channel. From the experiments, it is concluded that the EEG signal generate in visible mode with colour model shows high performance to distinguish between four wheelchairs movements compared to the invisible model.

Solar irradiances measured using SPN1 radiometers: uncertainties and clues for development

Abstract. The fast development of solar radiation and energy applications, such as photovoltaic and solar thermodynamic systems, has increased the need for solar radiation measurement and monitoring, for not only the global but also the diffuse and direct components. End users look for the best compromise between getting close to state-of-the-art measurements and keeping low capital, maintenance and operating costs. Among the existing commercial options, SPN1 is a relatively low cost solar radiometer that estimates global and diffuse solar irradiances from seven thermopile sensors under a shading mask and without moving parts. This work presents a comprehensive study of SPN1 accuracy and sources of uncertainty, drawing on laboratory experiments, numerical modelling and comparison studies between measurements from this sensor and state-of-the art instruments for six diverse sites. Several clues are provided for improving the SPN1 accuracy and agreement with state-of-the art measurements.

EVALUATION OF ASEAN MENTAL MODELS PATTERN OF WEB USER-CENTERED INTERFACE DESIGN USING EYE-TRACKING TECHNOLOGY

This study utilised eye-tracking technology to evaluate the results from the ASEAN mental model pattern of web object locations in a web user-centered interface design. Two experts and four volunteers participated in an eye-tracking experiment. The selected web object locations led to fewer fixations and participants found the target web objects faster. The eye-tracking data showed that users have clear expectations of where web objects are located on a web page. With the utilisation of the eye-tracking technology, a more precise and objective tool can be used to improve the classification of web user-centered interface design. It was concluded that eye-tracking technology is accurate and useful for knowing what a user looks at and understanding the user�s behavior. Finally, it was established that there was an improvement when using the information generated by the eye tracker. The study showed that web objects located according to user expectations were found faster and remembered more easily. Placing web objects at expected locations and designing their appearance according to user expectations facilitates orientation, which is beneficial for first impressions and the overall user satisfaction with the website experience.

English

Nowadays Internet is widely used by users to satisfy various information needs. However, ambiguous query/topic submitted to search engine doesn’t satisfy user information needs, because different users may have different information needs on diverse aspects upon submission of same query/topic to search engine. So discovering different user search goals becomes complicated Analyzing user search goal is essential to provide best result for which the user looks for in the internet. Feedback sessions have been clustered to learn several customers explore objectives for a query. Number one, we propose a framework to solving the all existing problems very effectively. Number two, we propose a novel approach to solving the existing problems and develop pseudo documents very good way to represent that documents. Last one, we propose a new factor “Classified Average Precision (CAP)” to solving the existing problems and this method mainly use of the performance is very effective that’s why this method using in this project.

Addressing eHealth literacy and the digital divide: Access, affordability and awareness

EDITOR'S SUMMARYThe Internet is beyond the reach of about six percent of Americans, limiting their access to general information and communications and to health information in particular. Eight of 10 Internet users look online for a range of health‐related information to understand medical conditions and treatments, access care providers and learn about insurance. Consumers, the federal government, the business community and access providers all have a stake in eHealth information access. The government has promoted awareness and understanding of health issues and provided funding for broadband and wireless telecommunications infrastructure. Businesses rely on consumers to make use of health information, and several major telecom firms have provided hardware and training to enable eHealth endeavors. Efforts must address basic Internet connectivity and user costs and awareness, obstacles that undermine availability of important health information to consumers.

NFV: state of the art, challenges, and implementation in next generation mobile networks (vEPC)

As mobile network users look forward to the connectivity speeds of 5G networks, service providers are facing challenges in complying with connectivity demands without substantial financial investments. Network function virtualization (NFV) is introduced as a new methodology that offers a way out of this bottleneck. NFV is poised to change the core structure of telecommunications infrastructure to be more cost-efficient. In this article, we introduce an NFV framework, and discuss the challenges and requirements of its use in mobile networks. In particular, an NFV framework in the virtual environment is proposed. Moreover, in order to reduce signaling traffic and achieve better performance, this article proposes a criterion to bundle multiple functions of a virtualized evolved packet core in a single physical device or a group of adjacent devices. The analysis shows that the proposed grouping can reduce the network control traffic by 70 percent.

Media Between Power and Empowerment: Can We Resolve This Dilemma?

This article analyzes how media have been conceptualized sometimes in accordance with notions of power and other times with those of empowerment. It is time to overcome this inconsistency in explanations of the media–users relationship and look at in a more innovative way. After a brief introduction in which I present the issues regarding the relationship between media and power/empowerment and the related research questions, in the next section I take stock of the how the debate historically developed in the social sciences on the notion of power, which is one of the most important sociological concepts. In the subsequent section I analyze the more recent notion of empowerment, which is used to explain the presumed role of media in shifting power toward users in beneficial ways. The final discussion demonstrates how classics can help us reconceptualize the role of power and empowerment in a reasonable way that accommodates both notions in the same theoretical framework.

Afterword: Elaborating Health and Medicine’s Publics

This essay argues that medical and health humanists interested in the rhetorical work of publics can extend their research by attending to embodiment and infrastructure. In addition to discussing how such strategies are illustrated in the essays appearing in this special issue, I relate them to the rhetorical study of personal health records (PHRs) as described in consumer-directed arguments. I conclude by posing two questions to health and medical humanists: "How do discursive constructions of publics and more specific instantiations of embodied experiences mutually shape each other?" and "What do the infrastructures of health and medical users look like and involve in their enactment?"

User Recommendation System using Markov Model in Social Networks

Today’s world is a social world. Recommending resources in social networking is very common thing. There are various methods available to recommend friend, music, video, items in social networks. The users look at the web as a place where they can find an individual or group of people with the same or similar interests, or even find new friends. And many times the recommendation system used in social networks suggests users about these resources. We want to apply Markov models and their variations for addressing this problem. It is generally found that higher order Markov models display high predictive accuracy. General Terms Markov model, Recommendation system, Social network, Transition Probability Matrix

Port user typology and representations of port choice behavior: A Q-methodological study

Research has identified many criteria that contribute to selecting a sea port, yet not much is known about how port users look at these criteria and how they argue on the factors that contribute to their port choice behavior. This study uses the Q methodology to explore the typology of port choice in conjunction with the port users’ own representations of their choice behavior. We employ an in-depth methodology that incorporates both quantitative and qualitative methods for an investigation of port choice behavior among port users particularly in South Korea. The analysis revealed four main types: Service- and corporation-oriented; Location and cost saver; On-time and task achiever; and Capacity and infrastructure friendly type. The results provide some implications and guidance for formulating policies and effective strategies for improving the competitiveness of port authorities and port operators.

Analyzing geographic query reformulation: An exploratory study

Search engine users typically engage in multiquery sessions in their quest to fulfill their information needs. Despite a plethora of research findings suggesting that a significant group of users look for information within a specific geographical scope, existing reformulation studies lack a focused analysis of how users reformulate geographic queries. This study comprehensively investigates the ways in which users reformulate such needs in an attempt to fill this gap in the literature. Reformulated sessions were sampled from a query log of a major search engine to extract 2,400 entries that were manually inspected to filter geo sessions. This filter identified 471 search sessions that included geographical intent, and these sessions were analyzed quantitatively and qualitatively. The results revealed that one in five of the users who reformulated their queries were looking for geographically related information. They reformulated their queries by changing the content of the query rather than the structure. Users were not following a unified sequence of modifications and instead performed a single reformulation action. However, in some cases it was possible to anticipate their next move. A number of tasks in geo modifications were identified, including standard, multi‐needs, multi‐places, and hybrid approaches. The research concludes that it is important to specialize query reformulation studies to focus on particular query types rather than generically analyzing them, as it is apparent that geographic queries have their special reformulation characteristics.

Dangerous Wi-Fi access point: attacks to benign smartphone applications

Personalization by means of third party application is one of the greatest advantages of smartphones. For example, when a user looks for a path to destination, he can download and install a navigation application with ease from official online market such as Google Play and Appstore. Such applications require an access to the Internet, and most users prefer Wi-Fi networks which are free to use, to mobile networks which cost a fee. For this reason, when they have no access to free Wi-Fi networks, most smartphone users choose to try to use unknown Wi-Fi access points (AP). However, this can be highly dangerous, because such unknown APs are sometimes installed by an adversary with malicious intentions such as stealing information or session hijacking. Today, smartphones contains all kinds of personal information of the users including e-mail address, passwords, schedules, business document, personal photographs, etc., making them an easy target for malicious users. If an adversary takes smartphone, he will get all of information of the users. For this reason, smartphone security has become very important today. In wireless environments, malicious users can easily eavesdrop on and intervene in communication between an end-user and the internet service providers, meaning more vulnerability to man-in-the-middle attacks. In this paper, we try to reveal the risk of using unknown APs by presenting demonstration results. The testbed is composed of two smartphones, two APs, and one server. The compromised AP forwards messages of victim smartphone to the fake server by using domain name system spoofing. Thus, the application that is running on the victim smartphone transfers HTTP request to the fake server. As a result, this application displays the abnormal pop-up advertisement, which contains malicious codes and links. Our demonstration shows that merely connecting to compromise APs can make a malicious behavior even the applications are benign.