| Utilizing Virtual Worlds for Personalized Search: Developing the PAsSIVE Framework | | BIBAK | Full-Text | 3-11 | |
| James Braman; Charles Dierbach | |||
| Search engine technology has greatly enhanced our ability to filter through
the chaos of finding relevant information online. Despite the current
capabilities, however, there is the promise of further improvement through the
use of personalization and alternative interfaces. In this paper we examine one
such alternative named PAsSIVE (Personalized Assisted Search in a Virtual
Environment). PAsSIVE immerses the user in the virtual world of Second Life in
which results are rendered. As part of this research, we investigate the design
and development of a 3D search interface, and reflect on insights gained. This
paper also discusses future work related to personalization and proactive
search. Keywords: Virtual worlds; Personalized search; Second life; PAsSIVE | |||
| Enabling Continuous Emotional Status Display in Mobile Text Chat | | BIBA | Full-Text | 12-19 | |
| Jackson Feijó Filho; Wilson Prata; Thiago Valle | |||
| Nonverbal communication is essential to human interaction. All this information is absent in mobile text conversations. This work describes an effort to extend text chat in mobile devices by continuously displaying emotional status and inserting automatically detected facial expression responses, such as a smile, to conversations. Acknowledged related work, regarding the examination of non-verbal communication through text messaging are considered and distinguished from the present solution. The implementation of a mobile phone application with the debated feature is described and user studies are reported. Context of application, conclusions and future works are also discussed. | |||
| 3D Virtual Worlds: An Ethnography of Key Artifacts and Processes | | BIBA | Full-Text | 20-29 | |
| Nick V. Flor | |||
| The development of an educational 3D virtual world requires a complex skillset, which includes programming, modeling, texturing, animating, and quest/level designing. When these skills are distributed across multiple workers, the workers must negotiate a shared understanding of their intermediate work products, which ultimately culminate in the virtual world. This paper is an ethnography of the intermediate work products ("artifacts") and processes used in the development of Virtual Energy World -- a 3D virtual world for instruction on sustainable energy issues. The resulting artifacts and processes have utility as a general development framework for both educational virtual worlds and video games. | |||
| Text-Mining of Hand-Over Notes for Care-Workers in Real Operation | | BIBAK | Full-Text | 30-38 | |
| Ken Fukuda; Kentaro Watanabe; Tomohiro Fukuhara; Masahiro Hamasaki; Ryoji Fujii; Miharu Horita; Takuichi Nishimura | |||
| Hand-over note in elderly care facilities is a very important media for the
employees to share information about non-routine task procedures in the daily
operation. Reviewing these memos regularly will help the facility find
potential risk factors and inefficiency in routine protocols. However,
hand-over notes are typically hand-written memos and conducting periodical
review is not easy for an average employee with heavy workload. To capture this
field community intelligence, we have conducted text-mining on hand-over text.
This paper describes results of hand-over note text-mining cases that lead to
employee driven re-design of service processes for better care service. Keywords: Nursing-care service; Text-mining; Data-mining; Employee driven innovation | |||
| Talking Circles: Spiritual Aid for Teenagers Through Social Media | | BIBAK | Full-Text | 39-47 | |
| Markandeya Kunchi; Shubhi Shrivastava | |||
| Social media has covered, conquered and affected almost all the aspects of
our lives especially those of the teenagers and youngsters. There is still a
space, which has not been affected by social media to a great extent and is yet
to be explored. This paper reflects the deep study of integration of two
entirely different worlds; social media of the 21th century and the evergreen
and serene world of spirituality. It attempts to address the problems faced by
teenagers and how they can be solved with the science, logic and
approachability of spirituality with the help of social media acting as a
mediator and catalyst to bridge the gap. At a conceptual level this paper
defines, characterises and elaborates on a concept called "Talking Circles"
where social media, spirituality and teenagers stand on a common stage and how
each one can be modified, transformed and made adaptive to the current
situation. Keywords: Social media; Spirituality; Teenagers; Collaboration; Co-creation; Therapy;
Guidance; Express; Journey; Problem solving | |||
| Social Media Participation: A Narrative Way to Help Urban Planners | | BIBAK | Full-Text | 48-54 | |
| Erick López-Ornelas; Nora Morales Zaragoza | |||
| Social Media Participation can be very important when you have to make an
important decision about a topic related to urban planning. Textual analysis to
identify the sentiment about a topic or, a user analysis to identify the actors
involved on a discussion, can be very important for the persons or institutions
that have to take an important decision. In this paper we analyze the case
study of the #nuevoaeropuerto in Mexico City to highlight the importance of
conducting a study of this nature. Keywords: Twitter; Social media participation; Urban planning; Sentiment analysis;
Users analysis; Textual analysis | |||
| Using Information Visualization Techniques to Improve the Perception of the Organizations' Image on Social Networks | | BIBAK | Full-Text | 55-66 | |
| Isabel H. Manssour; Milene S. Silveira; Caroline Q. Santos; Adolf J. Freitas; Flávio T. Schirmer | |||
| Nowadays it is notorious the growth and the popularity of social networks
such as Facebook, LinkedIn and Twitter, especially with the facilities provided
by the use of mobile devices. Considering these social networks, Twitter has a
different approach: a friendship connection doesn't need to exist and a person
can follow another person or organization just to receive its tweets. So, this
social network is often used as a way to get general or specific news and to
express (dis)satisfaction about products, politics, organizations, etc.
Considering this, the need for organizations to monitor what people are
"saying" about them has arisen. Thus, the main goal of this work is to
understand how information visualization techniques can support and improve the
analysis of the perceived image of organizations on social networks. For this,
we developed an application prototype to support sentiment analyses on Twitter
and we conducted a study on how this prototype, called MentionStats, can
contribute to the company's image analysis on Twitter. This study consisted on
interviews with professionals about their perceptions of the MentionStats and
its visualizations. Our main contribution are the presented possibilities of
using information visualization techniques in order to help users to deepen the
analysis of their organizations image on social networks, and also users'
impressions about this. Keywords: Data visualization; Social networks; Sentiment analysis | |||
| Designing a Social Mobile Platform for Diabetes Self-management: A Theory-Driven Perspective | | BIBAK | Full-Text | 67-77 | |
| Hoang D. Nguyen; Xinyi Jiang; Danny Chiang Choon Poo | |||
| Diabetes mellitus (DM) is increasingly being accepted as a lifelong public
health problem with profound consequences on the worldwide healthcare system.
Self-management, therefore, has been long suggested as an integral solution of
diabetes treatment [1] which requires patients to adopt strained lifestyle
modifications (e.g., balancing diets and frequent monitoring of blood glucose)
[2, 3]. With the proliferation of smart devices, this study proposes a
theoretical framework as an important guideline for designing and prototyping a
life-changing mobile platform for a next-generation diabetes self-management.
It revolutionises the interaction between patients and their smart phone with a
high degree of media richness and social connectivity for better health
management success. Keywords: Diabetes mellitus; Self-management; mHealth; Social support; Social presence | |||
| Providing ICT Support to Promote Communities' Emotional Balance | | BIBAK | Full-Text | 78-88 | |
| Rener Baffa da Silva; Junia Coutinho Anacleto | |||
| This paper presents a study on how hierarchical communities can emotionally
balance themselves and how this process happens. For that we've created
Emotifeed, an ICT tool to provide staff decision made information, allowing
them to give emotional feedback. The communication inside organizations and
communities are quickly changing for a more organic and flexible structure and
emotions play an important role in this scenario. However the knowledge about
the emotional world of communities and organizations is still very short.
Aiming to contribute in this scenario, we developed EmotiFeed using a public
display to support the communication in a community and collect emotional
feedback. The footage analysis showed that the EmotiFeed promoted the emotional
balance in the community and showed that the tendency is it runs in the
direction of the "Neutral" emotion. Keywords: Organizations; Emotifeed; Emotional feedback; Emotional balance;
Responsiveness | |||
| User Modeling on Social Media for Art Museums and Galleries | | BIBAK | Full-Text | 89-95 | |
| Kingkarn Sookhanaphibarn; Utaiwan Chatuporn; Kodchakorn Na Nakornphanom | |||
| This paper shows the results of studying relevant factors for expanding an
experience of museum visitors by using social media technology. The constructed
questionnaire was used as a tool to elicit the opinion of members in the
Facebook fan page of Southeast Asian Ceramics Museum, Bangkok University,
Thailand. In this study, there were 222 respondents whose occupations were
related to either arts and cultures (42.79%), and not related to (57.21%). The
results indicated that the perceived usefulness of technology factors and
perceived ease of use to technology were related to the expansion of museum
visitors experience with social media applications at statistically significant
level of 0.01. Keywords: Technology Acceptance Model (TAM); Adoption computer technology; Digital
museum; User experience; Facebook | |||
| Social Media and Higher Education: A Literature Review | | BIBAK | Full-Text | 96-104 | |
| Yuanqiong Wang; Gabriele Meiselwitz | |||
| This paper presents a literature review of empirical research related to the
use and effects of social media in higher education settings. The adoption of
social media has been steadily increasing. However, a majority of the research
reported focuses on students' perception on the effects of social media in
learning. The research on the effects of social media on student learning and
faculty perspectives are still limited. This literature review focused on the
empirical studies that involved the use of social media in higher education in
the computing field. Recommendations for future research directions were
presented as the result of this literature review. Keywords: Social media; Higher education; Student learning; Faculty | |||
| An Analytic Study on Private SNS for Bonding Social Networking | | BIBAK | Full-Text | 107-117 | |
| Hyeonjung Ahn; Sangwon Lee | |||
| In recent years, SNS (Social Network Service) has become one of the most
effective communication tools for people. For instance, 'Facebook' contributes
to the phenomenon, and various studies have already been made about the public
SNS. However, public SNSs have some problems including privacy issues and
information overload while being useful for connecting individuals. In short,
the function of public SNSs may not be sufficient for bonding human
relationships or protecting privacy. In contrast, private SNS has different
functional features which compensate the defects of public SNS and promote
bonding relationship with fewer people. Considering the increasing domestic
popularity of private SNS domestically, this study conducted a comparative
analysis of 12 typical private SNSs to find out common features of private SNSs
by comparing them with the features of public SNSs. Specifically, we mainly
referred to the honeycomb model of social media to serve the objective of our
study. Finally, we analyze one private SNS called 'Band' based on the key
traits of private SNS and make a suggestion to improve the current service. The
present study may provide a theoretical standard about private SNSs for
innovating SNSs that are under overcrowded condition and we can also judge
whether the factors are in accordance with user's needs well in our future
study. Keywords: Private SNS; Public SNS; Social capital; Bonding relationship; Bridging
relationship | |||
| Simulation-Based Prediction and Analysis of Collective Emotional States | | BIBAK | Full-Text | 118-126 | |
| Charlotte Gerritsen; Ward R. J. van Breda | |||
| The emergence of aggressive behaviour in crowds is not uncommon and is
typically unpredictable and difficult to control. Since the availability of
guardians for the prevention of aggression is typically limited, it would be
useful if the emergence of unwanted behaviour could somehow be predicted. This
paper presents a novel approach to predict the emergence of aggressive
behaviour in crowds, based on a combination of sentiment analysis and
agent-based simulation. The main idea is to use information from social media
(in particular Twitter), analyse the sentiment of the messages and feed the
resulting sentiments into a simulation model of social contagion. Based on
these simulations, the system should be able to predict when and where unwanted
behaviour will occur. Keywords: Social media; Sentiment analysis; Crime prevention; Prediction; Agent-based
modelling; Emotions; Social contagion | |||
| Analysing Yammer Usage Pattern in the Context of Social Collaborative Activity Performance by Knowledge Workers | | BIBA | Full-Text | 127-137 | |
| Jordan Hall; Bee Bee Chua | |||
| This study investigates the impact and trend of the Yammer utilisation pattern by multi-generational knowledge workers employed in the risk service department of a multi-national enterprise. In contrast to the existing literature, our results highlight the experiences between the different levels of management in their adoption of a new technology. In our study, senior management used Yammer for post creation more frequently than did the junior management. Furthermore, the more senior the employee was, the higher the chance he or she would access Yammer. Senior management was less concerned about Yammer's usability and functionality compared to junior management. The Yammer usage rate may increase if the tool is well integrated with other in-house compatible tools. Finally, workers may benefit from high-quality coaching about Yammer's benefits and values. | |||
| Ensemble Selection for Community Detection in Complex Networks | | BIBAK | Full-Text | 138-147 | |
| Rushed Kanawati | |||
| Ensemble clustering approaches have been recently applied, in a variety of
ways, in order to enhance the quality and/or the execution time of community
detection tasks. The quality gain that can be obtained from applying ensemble
approaches is known to be tightly linked to both quality and diversity of the
applied clusterings. However, most of existing work simply ignore this
important issue of ensemble selection. In this paper we intend to fill this
gap. We propose a graph-based ensemble selection approach that allow to take
into account both criteria of quality and diversity. Different quality measures
are also considered: cluster-oriented quality and network-oriented quality
functions. Experiments on real network datasets show the validity of our
approach. Keywords: Community detection; Complex networks; Ensemble clustering; Ensemble
selection | |||
| Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON | | BIBAK | Full-Text | 148-157 | |
| Zenun Kastrati; Ali Shariq Imran; Sule Yildirim-Yayilgan; Fisnik Dalipi | |||
| Analysing users' behaviour and social activity for investigating suspects is
an area of great interest nowadays, particularly investigating the activities
of users on Online Social Networks (OSNs) for crimes. The criminal activity
analysis provides a useful source of information for law enforcement and
intelligence agencies across the globe. Current approaches dealing with the
social criminal activity analysis mainly rely on the contextual analysis of
data using only co-occurrence of terms appearing in a document to find the
relationship between criminal activities in a network. In this paper, we
propose a model for automated social network analysis in order to assist law
enforcement and intelligence agencies to predict whether a user is a possible
suspect or not. The model uses web crawlers suited to retrieve users' data such
as posts, feeds, comments, etc., and exploits them semantically and
contextually using an ontology enhancement objective metric SEMCON. The output
of the model is a probability value of a user being a suspect which is computed
by finding the similarity between the terms obtained from the SEMCON and the
concepts of criminal ontology. An experiment on analysing the public
information of 20 Facebook users is conducted to evaluate the proposed model. Keywords: Ontology; Online social networks; Facebook; SEMCON | |||
| Language-Independent Sentiment Analysis with Surrounding Context Extension | | BIBAK | Full-Text | 158-168 | |
| Tomáš Kincl; Michal Novák; Jirí Pribil; Pavel Štrach | |||
| Expressing attitudes and opinions towards various entities (i.e. products,
companies, people and events) has become pervasive with the recent
proliferation of social media. Monitoring of what customers think is a key task
for marketing research and opinion surveys, while measuring customers'
preferences or media monitoring have become a fundamental part of corporate
activities. Most experiments on automated sentiment analysis focus on major
languages (English, but also Chinese); minor or morphologically rich languages
are addressed rather sparsely. Moreover, to improve the performance of
machine-learning based classifiers, the models are often complemented with
language-dependent components (i.e. sentiment lexicons). Such combined
approaches provide a high level of accuracy but are limited to a single
language or a single thematic domain.
This paper aims to contribute to this field and introduces an experiment utilizing a language- and domain-independent model for sentiment analysis. The model has been previously tested on multiple corpora, providing a trade-off between generality and the classification performance of the model. In this paper, we suggest a further extension of the model utilizing the surrounding context of the classified documents. Keywords: Sentiment analysis; Cross-domain; Cross-language; Document surrounding
context | |||
| Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags | | BIBAK | Full-Text | 169-182 | |
| Nargis Pervin; Tuan Quang Phan; Anindya Datta; Hideaki Takeda; Fujio Toriumi | |||
| Hashtags increase the reachability of a tweet to manifolds and consequently,
has the potential to create a wider market for brands. The frequent use of a
hashtag features it in the Twitter trending list. In this study we want to
understand what contributes to the popularity of a hashtag. Further, hashtags
generally come in groups in a tweet. In fact, an investigation on a real world
dataset of Great Eastern Japan Earthquake reveals that 50% of hashtags appear
in a tweet with at least another hashtag. How this co-occurrence of hashtags
affects its popularity is also not addressed heretofore, which is the focus
herein. Results indicate that if a hashtag appears with one or more other
similar hashtags, popularity of the hashtag increases. In contrast, if a
hashtag appears with dissimilar hashtags, popularity of the focal hashtag
decreases. The results reverse when dissimilar hashtags come along with a URL. Keywords: Twitter; Hashtag; Hashtag co-occurrence; Metacognitive experience | |||
| It's Not About the Risks, I'm just Used to Doing It: Disclosure of Personal Information on Facebook Among Adolescent Dutch Users | | BIBAK | Full-Text | 185-195 | |
| Ardion D. Beldad; Ruud Koehorst | |||
| A paper-based survey was conducted with 560 students of a high school in the
eastern part of the Netherlands to determine the factors influencing their
personal information disclosure behavior on Facebook. Results of the path
analysis reveal that habits and perceived control strongly predict information
disclosure of research respondents. Furthermore, information-related benefits
also contribute to disclosure among adolescent Dutch Facebook users. Moreover,
perceived control positively influences respondents' trust (in Facebook and in
their network members). Keywords: Personal information disclosure; Habit; Perceived control; Trust | |||
| Interaction Study of Shuriken: User Grouping and Data Transfer Based on Inter-device Relative Positioning | | BIBA | Full-Text | 196-206 | |
| Jonathan Chung; Adiyan Mujibiya | |||
| We present Shuriken, a method for user grouping and data transfer for smart devices that are in close proximity. Users point their devices towards each other to link them into a group (point to link). The relative positions are estimated between the grouped devices (link to group) with Bluetooth low energy received signal strength indication and the digital compass readings. The relative positions are then used for identifying the recipients for data transfer by swiping towards the physical direction (swipe to send). In this paper, we studied the possible operations to enable: point to link, link to group and swipe to send and compared Shuriken to existing techniques for user grouping and data transfer. We envision practical uses of Shuriken in collaborative shopping in a café, data transfer in business meetings and localisation of smart devices. | |||
| Are Social Media Useful for Managing Reputation Online?: Comparing User Interactions Online with Reputation Indicators | | BIBAK | Full-Text | 207-215 | |
| Jasmine Yoo Jung Hong; Jang Hyun Kim | |||
| Reputation is a growing concern to all organizations, regardless of their
size or industry. Recently, social networking sites (SNS) such as Facebook have
become effective and efficient channels for an organization to build
relationships with various publics, which is fundamental for reputation
management. Applying the dialogic communication theory and the halo effect, the
present study seeks to explore whether there is a significant relationship
between a company's reputation and the level of interaction on the respective
company's Facebook page (measured by the number of page 'likes', number of wall
comments and commented comments by both the companies and users). This study
used a social network analysis tool called NodeXL to gather data on Facebook.
Results from the present study provide practical implications regarding online
reputation management for organizations. Keywords: Reputation management; Social networking sites (SNS); Facebook; Halo effect;
Dialogic communication | |||
| Investigating Usability and User Experience from the User Postings in Social Systems | | BIBAK | Full-Text | 216-228 | |
| Marília S. Mendes; Elizabeth Furtado; Vasco Furtado; Miguel F. de Castro | |||
| Social Systems (SS) are dynamic systems, with features such as: frequent
exchange of messages and expression of feelings spontaneously. The postings of
users on SS reveal their opinions on various issues, including on what they
think of the system. In this study, we classified postings of users from two SS
of different contexts: a popular SS (entertainment) - Twitter and an academic
SS of a university -- forums, to investigate information related to usability
and user experience (UX) of such systems. Results showed they are useful to (i)
obtain user's sentiments about the system; (ii) to identify possible problems
during their experience and (iii) to perceive from the set of classified
postings the context of use of the system. Keywords: Human computer interaction; User experience; Usability; Social systems;
Postings related to the use (PRUs) | |||
| A Computational Study of How and Why reddit.com was an Effective Platform in the Campaign Against SOPA | | BIBAK | Full-Text | 229-241 | |
| Richard Mills; Adam Fish | |||
| In this paper, we analyze the posting and voting activities of reddit's
users and show how these interact with the site's structure to create an
environment where information activists could build a resource base to oppose
the 2012 US House of Representatives bill, Stop Online Privacy Act (SOPA). The
broadcasting function of the 'Front Page' was important in raising awareness of
SOPA among reddit's users. Broadcasting the outcomes of collective voting back
to the voters establishes an attentional feedback loop, and this imbued the
collective action which followed with certain characteristics. Continuing a
longitudinal investigation into changes in the ways that user attention and
activity is distributed between the site's 240,000 'subreddits', we conclude by
theorizing whether such collective action will be possible on the reddit of the
present. Keywords: Reddit; Social News; Public sphere; SOPA | |||
| Inter-Social-Networking: Accounting for Multiple Identities | | BIBAK | Full-Text | 242-252 | |
| Dominic Price; Derek McAuley; Richard Mortier; Chris Greenhalgh; Michael Brown; Spyros Angelopoulos | |||
| We argue that the current approaches to online social networking give rise
to numerous challenges regarding the management of the multiple facets of
people's digital identities within and around social networking sites (SNS). We
propose an architecture for enabling people to better manage their SNS
identities that is informed by the way the core Internet protocols developed to
support interoperation of proprietary network protocols, and based on the idea
of Separation of Concerns [1]. This does not require modification of existing
services but is predicated on providing a connecting layer over them, both as a
mechanism to address problems of privacy and identity, and to create
opportunities to open up online social networking to a much richer set of
possible interactions and applications. Keywords: Social-networking; Privacy; Identity; Infrastructure; Architecture | |||
| Identifying Collaboration Strategies in Scientific Collaboration Networks | | BIBAK | Full-Text | 253-264 | |
| Maria Lúcia Bento Villela; Simone Xavier; Raquel Oliveira Prates | |||
| A number of virtual networks, called Scientific Collaboration Networks
(SCNs) have been increasingly adopted as means to connect researchers around
the world. In this article we have analyzed how the SCNs ResearchGate and
Academia.edu support collaboration between researchers, through an analysis of
their interface and contrast with the general purpose online social network
(OSN) Facebook. The analysis of these systems allowed us to identify four
categories through which network members collaborate: information sharing,
interaction levels, communities and artifacts. Although the categories are the
same for SCNs and OSNs, the strategies adopted in each context are different.
We discussed how these strategies, which can be used to support design and
evaluation of SCNs, are used to foster collaboration among researchers in these
systems. Keywords: Scientific Collaboration Networks; Social networks; Semiotic engineering;
Semiotic Inspection Method; Communicability evaluation | |||