Co-experience on Twitter: A study of information technology professionals

Introduction. This paper presents findings from a study of information technology (IT) professionals’ use of Twitter for their professional purposes. The study aimed to understand information technology professionals’ co-experience and how it influences professional activities on Twitter. Method. Eleven information technology professionals who currently use Twitter for professional purposes were recruited. Analysis. This study used online observations and interviews to help to distinguish the objective and observable actions of the participants, and to clarify the ways in which information technology professionals experience Twitter for professional purposes. The data were analysed using constructivist grounded theory. Results. The findings of this study yielded an interesting result: social interaction initiates co-experience. The degree of co-experience that occurred on Twitter is greater compared to other multimedia messaging service platforms. This is because Twitter is a public space that enables user-generated content, communication, and engagement much more easily than other mediated communication environments. Conclusions. Information technology professionals experienced Twitter as a real place where they met and socialised with others; however, it was more than just information seeking and sharing – it was also a place where they created a co-experience by choice rather than by simple chance

An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying

A binary descriptor indexing scheme based on Hamming distance called the Hamming tree for local shape queries is presented. A new binary clutter resistant descriptor named Quick Intersection Count Change Image (QUICCI) is also introduced. This local shape descriptor is extremely small and fast to compare. Additionally, a novel distance function called Weighted Hamming applicable to QUICCI images is proposed for retrieval applications. The effectiveness of the indexing scheme and QUICCI is demonstrated on 828 million QUICCI images derived from the SHREC2017 dataset, while the clutter resistance of QUICCI is shown using the clutterbox experiment.Comment: 13 pages, 13 figures, to be published in a Special Issue in Computers & Graphic

IT professionals' use a microblogs : a study of their information behaviours and information experience on Twitter

This thesis is a study of IT professional’s use of the microblog Twitter. The study shows that, Twitter is more useful for IT experts to connect, communicate and sharing information. Furthermore, the results gave the researcher an overview on the information behaviour and information experience on Twitter, where co-experience occurs by choice rather than by chance. Twitter is not only used for information-seeking and information-sharing, but it is also used as an information ground where the users meet and socialise with others

Efficient top-k retrieval with signatures

This paper describes a new method of indexing and searching large binary signature collections to efficiently find similar signatures, addressing the scalability problem in signature search. Signatures offer efficient computation with acceptable measure of similarity in numerous applications. However, performing a complete search with a given search argument (a signature) requires a Hamming distance calculation against every signature in the collection. This quickly becomes excessive when dealing with large collections, presenting issues of scalability that limit their applicability. Our method efficiently finds similar signatures in very large collections, trading memory use and precision for greatly improved search speed. Experimental results demonstrate that our approach is capable of finding a set of nearest signatures to a given search argument with a high degree of speed and fidelity