School Of Computing
National University of Singapore
School of Computing
Department of Information Systems
Research Interests
Human Computer Interaction
Information Systems Adoption
Information Privacy
 
Selected Publications
Wang, D., Xu, L., and Chan, H. C. (2008). Understanding Users' Continuance of Facebook - The Role of General and Specific Computer Self-Efficacy. Proceedings of the Twenty Ninth International Conference on Information Systems, Paris, France. Download.

Keywords: General computer self-efficacy, Specific computer self-efficacy, Continuance intention, Social cognitive theory, Facebook, Cognition, Affect

Abstract:
Prior research has distinguished general computer self-efficacy (CSE) and application-specific computer self-efficacy, but few studies have investigated the relationship between the two levels of CSE as well as their antecedents and consequences. With the increasing popularity of social networking sites such as Facebook, we are interested in assessing the role of general and specific CSE in predicting users' continuance intention of these sites. An extended technology acceptance model with both cognitive and affective predictors is utilized to capture the decision process of Facebook users' continuance intention. The proposed research model examined antecedents as well as consequences of both general CSE and specific CSE in Facebook. A survey was conducted for data collection. The results show that general CSE and specific CSE are closely related but play different roles in predicting continuance intention in Facebook through cognition and affect, and are affected differently by general computer and Facebook-specific experience.

Wang, D., and Poo, D. C. C. (2008). Latent Semantic Analysis. Proceedings of the 13th National Undergraduate Research Opportunities Programme Congress, Singapore.

Keywords: Latent Semantic Analysis, information retrieval, dimensionality reduction, singular value decomposition

Abstract:
Latent semantic analysis (LSA) is a model of human knowledge representation that approximates semantic relatedness judgments. It is a fully automatic mathematical/statistical technique for extracting and inferring relations of expected contextual usage of words in passages of discourse. This research reviews various literatures on latent semantic analysis and establishes a framework that organizes the existing literatures. It first goes through a brief history of latent semantic analysis. Then the mathematical details of LSA are presented, with an example followed. The paper then reviews several applications of LSA and finally suggests some improvements to LSA. These areas for improvement can be taken for further research for LSA.
 
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WANG Deliang

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BComp (Hons) (National University of Singapore)

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