Seeking meaning: A process approach to library and information services

“WTH..!?!” Experiences, reactions, and expectations related to online privacy panic situations

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Indian Railway Catering and Tourism Corporation Ltd. (IRCTC) launched “IRCTC Connect” mobile application (app) for different mobile platforms for booking/cancellation tickets, but the app usage rate is very low in comparison to IRCTC website and Passenger Reservation System (PRS). This indicates a gap between implementation and adaption of IRCTC Connect. This paper explores the factors influencing the consumer’s behavioral intention to use IRCTC Connect by adapting Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. Regression analysis is used to analyze total 159 valid responses, collected through survey at MNNIT campus Allahabad, India. The findings of the study illustrate that only three factors Social Influence, Price Value and Habit of UTAUT2 model are significantly influencing the adoption of IRCTC Connect with adjusted R-Square value 0.699. This study will facilitate IRCTC Connect developers to encompass better understanding on consumers’ desires and intention and encourages researchers in this area for longitudinal observation in different backgrounds.

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Digital Nations – Smart Cities, Innovation, and Sustainability

User Interface Challenges of Banking ATM Systems in Nigeria by Felix C. Aguboshim MSc, Nnamdi Azikiwe University, Nigeria, 2006 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Information Technology Walden University April 2018

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User Interface Challenges of Banking ATM Systems in Nigeria

Recently, Content Based Image Retrieval (CBIR) has emerged as an active research area having applications in various fields There exist several states-of-the art CBIR systems that uses both spatial and transform features as input However, as hardly any details study reported so far on the effectiveness of different transform domain features in CBIR paradigm This motivates the current article where we have presented extensive comparative assessment of five different transform domain features considering various filter combinations Three different feature representation schemes and three different classifiers have been used for this purpose Extensive experiments on four widely used benchmark image databases (Oliva, Caltech101, Caltech256 and MIRFlickr25000) were conducted to determine the best combination of transform, filters, feature representation and classifier Furthermore, we have also attempted to discover the optimal features from the best combinations using maximal information compression index (MICI) Both qualitative and quantitative evaluations show that the combination of Least Square Support Vector Machine (LSSVM) as a classifier and the statistical parametric framework based reduced feature representation in Non-Subsampled Contourlet Transform (NSCT) with "pyrexc" and "sinc" filters gives the best retrieval performances

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Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier

Our objective was to propose a new model which provides real interactions like human conversations. In this paper, we defined “interaction” to mean not only superficial interactions between human and systems but also internal elements inspiring one another. We proposed a new interaction model by defining four user elements namely user knowledge, information needs, thinking, and  feelings, and five system elements namely system knowledge, interaction algorithm, knowledge base, retrieval algorithm, and database. The key point is that users can understand inside the systems gradually and operate them flexibly in their own way to provide real interactions where users and systems inspire one another’s internal elements. We then defined system requirements to realize this model so that users can change and comprehend system knowledge and that users interact with the system constantly. We constructed an image retrieval system applying our proposed graphical search interface named Concentric Ring View and confirmed that all system requirements were satisfied. In a usability test with 12 university students, we confirmed that the proposed interaction model provided intuitive searches to users by inspiring internal elements between users and systems. Users could continuously change and comprehend system knowledge, synchronize user knowledge, shifting thinking and feeling, and changing information needs.

An interaction model between human and system for intuitive graphical search interface

We constructed a botanical data retrieval system applying our proposed search interface named 'Concentric Ring View' for multi-faceted metadata This system allows users to search flexibly and intuitively by combining attributes with simple operation The attributes used as search keys are visual and botanical features such as flower color, leaf shape, blooming season, and so on Users can create their own dynamic knowledge hierarchies by selecting these attributes and adjusting attribute valuesWe considered that this system enables users not only to search for plant names but also to learn morphological features and the taxonomy of plants, and performed a usability testing We confirmed that users could finally find the correct plant names even if each user selected different attributes for searching, and users could also find correct plants by grasping visual features even if the images shown focused on flower and leaf In discovery learning, users could learn plant features and botanical properties by finding out the common properties from the relationships between attributes and attribute values, and attribute values and retrieved results

Botanical data retrieval system supporting discovery learning

Our objective was to apply different kinds of database with our proposed graphical search interface, and to verify the effectiveness focused on user knowledge structure in searching because it allowed users to easily modify received information to suitable knowledge. This interface was for multi-faceted metadata named Concentric Ring View. The design concept of this interface is "result-oriented", which means users continue to search by evaluating the retrieved results. We constructed four image retrieval systems with images designed for web pages, flower, insect, and country. We selected databases from two aspects; the gap between images and information features, and the necessity of general knowledge to understand values of information features. To make users more able to understand the relationship between retrieved results and attributes values, we added independent functions depending on the features of database, e.g., preparing images focused on search keys, mapping to meaningful area like a world map. We confirmed that this interface bridged the gaps by materializing user knowledge from abstract images, and that users learned with our system and modified users' knowledge structure without general knowledge. This interface can be used not only as a retrieval system but also as an educational system.

Construction of image retrieval systems focused on user knowledge interaction

A method for revising package image colors to express brand perceptions better

Social Networking Services (SNSes), such as Facebook and Twitter, provide a communication platform that easily communicates with a family, close friends, acquaintances and strangers. On the other hands, SNS users often unintentionally post a message on SNSes, including one's own sensitive information, and is revealed to other users. As a result, an SNS user can lose friend, or even a job. Moreover offhand posts can result in unforeseen problems. In order to prevent privacy leaks to SNSes, we defined an objective classification-table of invasion of privacy for SNSes that will be based on classification according to contents of information, which should be kept private, and disclosure level. We also proposed a method that uses the classification table to provide settings for access control that prevent privacy leaks. In this paper, as a realization of this method, we developed a prototype system that adaptive disclosure control system on Facebook based on detection of sensitive information leaks and friends classified according to the disclosure level.

Tomoko Kajiyama

Papers

An interaction model between human and system for intuitive graphical search interface

Botanical data retrieval system supporting discovery learning

Construction of image retrieval systems focused on user knowledge interaction

A method for revising package image colors to express brand perceptions better

Analysis of Facebook Friends Using Disclosure Level