Browsing by Author "Indratmo, Indratmo"

Now showing 1 - 10 of 10
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    A model for web-based course registration systems
    (2014) Estevez, Ruben; Rankin, Sean; Silva, Ricardo; Indratmo, Indratmo
    University students use web-based course registration systems to search, select, and register to courses. Despite having an important role at universities, course registration systems often pose usability problems to users. In this project, the authors assessed the usability of a web-based course registration system, proposed an improved model for such systems, and evaluated the model. The paper aims to discuss these issues.
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    A review of organizational structures of personal information management
    (2008) Indratmo, Indratmo; Vassileva, Julita
    Personal information management (PIM) covers a large area of research fragmented into separate sub-areas such as file management, web bookmark organization, and email management. Consequently, it is hard to obtain a unified view of the various approaches to PIM developed in these different sub-areas. In this article, we synthesize and classify existing research on PIM based on the approach used to organize information items. We classify the organizational structures into five categories: hierarchical, flat, linear, spatial, and network. We discuss the strengths and weaknesses of each structure along with examples showing how to deal with the weaknesses. Finally, we provide design recommendations and a framework for researchers to experiment with various ideas for developing novel PIM tools.
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    A usability study of an access control system for group blogs
    (2007) Indratmo, Indratmo; Vassileva, Julita
    Blogs are a medium to express thoughts, feelings, and opinions. Once published, blog articles potentially become persistent and can be read by non-intended audiences, causing hurt feelings and other troubles. In part these problems are due to the lack of access control in blogs. We propose an access control framework for group blogs. Compared to the typical access control in blogging tools, our system differs in a few aspects. First, the system enables bloggers to grant different access privileges to different audiences over a single blog article. That is, it associates access privileges to people rather than to artifacts (e.g., articles, blogs). Second, the system allows a blogger to create a collaborative space with other bloggers, for example by allowing others to edit his or her articles. Third, the management of access control is integrated with the process of writing and editing blog articles, facilitating the main workflow of the user. We conducted a usability study to evaluate our system and get constructive feedback from users. In this article, we present the proposed access control system, the results of the study, and analysis of the results.
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    Comparisons between text-only and multimedia tweets on user engagement
    (2020) Indratmo, Indratmo; Zhao, Michael; Buro, Karen
    Having highly engaged followers on social media allows us to spread information, seek feedback, and promote a sense of community efficiently. Crafting engaging posts, however, requires careful thoughts, creativity, and communication skills. This research studied tweets and explored the effect of content types on user engagement. More specifically, we compared the number of likes and retweets between text-only and multimedia tweets. We analyzed four Twitter accounts relevant to the City of Edmonton, Canada, and performed negative binomial regressions to model the expected count of likes and retweets based on accounts, content types, and their interaction. The results showed that multimedia content increased engagement in two of the four accounts but did not change engagement significantly in the other two. In other words, multimedia content had a positive or neutral effect on user engagement, depending on accounts. Our analysis also showed the effectiveness of well-written texts in attracting the attention of users. Tweets, by design, are text-oriented, and posting multimedia content may help, but is not a necessary condition to engage with followers effectively on Twitter.
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    Comparisons between text-only and multimedia tweets on user engagement
    (2020) Indratmo, Indratmo; Zhao, Michael; Buro, Karen
    Having highly engaged followers on social media allows us to spread information, seek feedback, and promote a sense of community efficiently. Crafting engaging posts, however, requires careful thoughts, creativity, and communication skills. This research studied tweets and explored the effect of content types on user engagement. More specifically, we compared the number of likes and retweets between text-only and multimedia tweets. We analyzed four Twitter accounts relevant to the City of Edmonton, Canada, and performed negative binomial regressions to model the expected count of likes and retweets based on accounts, content types, and their interaction. The results showed that multimedia content increased engagement in two of the four accounts but did not change engagement significantly in the other two. In other words, multimedia content had a positive or neutral effect on user engagement, depending on accounts. Our analysis also showed the effectiveness of well-written texts in attracting the attention of users. Tweets, by design, are text-oriented, and posting multimedia content may help, but is not a necessary condition to engage with followers effectively on Twitter.
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    No more isolated files: managing files as social artifacts
    (2006) Indratmo, Indratmo; Vassileva, Julita
    People manage and use their files/documents in social settings. However, current file systems do not consider social interactions that happen around files. For example, files that have been sent to many people are displayed in the same way as those that have never been sent. We argue that by capturing user activities around files, we can enhance user experience in managing their documents. In particular, presenting activity traces can help users comprehend their document collections better and recall the context of their documents. In this paper, we discuss our approach to providing a context-rich environment for document management.
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    Systematic review of the literature on big data in the transportation domain: concepts and applications
    (2019) Neilson, Alex; Indratmo, Indratmo; Daniel, Ben; Tjandra, Stevanus
    Research in Big Data and analytics offers tremendous opportunities to utilize evidence in making decisions in many application domains. To what extent can the paradigms of Big Data and analytics be used in the domain of transport? This article reports on an outcome of a systematic review of published articles in the last five years that discuss Big Data concepts and applications in the transportation domain. The goal is to explore and understand the current research, opportunities, and challenges relating to the utilization of Big Data and analytics in transportation. The review shows the potential of Big Data and analytics to garner insights and improve transportation systems through the analysis of various forms of data obtained from traffic monitoring systems, connected vehicles, crowdsourcing, and social media. We discuss some platforms and software architecture for the transport domain, along with a wide array of storage, processing, and analytical techniques, and describe challenges associated with the implementation of Big Data and analytics. This review contributes broadly to the various ways in which cities can utilize Big Data in transportation to guide the creation of sustainable and safer traffic systems. Since research in Big Data and transportation is, by and large, at infancy, this article does not prescribe recommendations to the various challenges identified, which also constitutes the limitation of the article.
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    The efficacy of stacked bar charts in supporting single-attribute and overall-attribute comparisons
    (2018) Indratmo, Indratmo; Howorko, Lee; Boedianto, Joyce Maria; Daniel, Ben
    Stacked bar charts are a visualization method for presenting multiple attributes of data, and many visualization tools support these charts. To assess the efficacy of stacked bar charts in supporting attribute comparison tasks, we conducted a user study to compare three types of stacked bar charts: classical, inverting, and diverging. Each chart type was used to visualize six attributes of data where half of the attributes have the characteristics of ‘lower better’ whereas the other half ‘higher better.’ Thirty participants were asked to perform two types of comparison tasks: single-attribute and overall-attribute comparisons. We measured the completion time, error rate, and perceived difficulty of the comparison tasks. The results of the study suggest that, for overall-attribute comparisons, the inverting stacked bar chart was the most effective with regards to the completion time. The results also show that performing overall-attribute comparisons using the classical and diverging stacked bar charts required more time than performing single-attribute comparisons using these charts. Participants perceived the inverting and diverging stacked bar charts as easier-to-use than the classical stacked bar chart for overall-attribute comparisons. However, for single-attribute comparisons, all chart types delivered similar performance. We discuss how these findings can inform the better design of interactive stacked bar charts and visualization tools.
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    The role of social interaction filter and visualization in casual browsing
    (2012) Indratmo, Indratmo; Vassileva, Julita
    Traces of social interaction in information spaces have the potential to improve information exploration. We evaluated interactive interfaces that utilize social interaction history. More specifically, we compared the value of a social filter and social interaction visualization in supporting casual browsing. We hypothesized that information filtering in general plays a more important role than visualization, as it provides additional control for users to browse information collections. Our experimental results showed that, compared to the baseline interface, the social filter increased subjective user satisfaction and was perceived by the study participants to enhance their effectiveness in finding interesting information. However, there were no significant differences between the social filter and social visualization systems. Our analysis suggested that the synergy of information filtering and visualization is more effective than each feature working separately.
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    Visualizing stock market data with self‐organizing map
    (2013) Joseph, Joel; Indratmo, Indratmo
    Finding useful patterns in stock market data requires tremendous analytical skills and effort. To help investors manage their portfolios, we developed a tool for clustering and visualizing stock market data using an unsupervised learning algorithm called Self-Organizing Map. Our tool is intended to assist users in identifying groups of stocks that have similar price movement patterns over a period of time. We performed a visual analysis by comparing the resulting visualization with Yahoo Finance charts. Overall, we found that the Self-Organizing Map algorithm can analyze and cluster the stock market data reasonably.