Hong Kong Baptist University

About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: China & Population. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.

Impact of Narratives on Persuasion in Health Communication: A Meta-Analysis

Abstract: This meta-analysis assessed the persuasive effects of narratives in health communication. A search of the literature identified 25 studies (N = 9,330) that examined the effects of narratives on persuasion as measured by changes in attitudes, intentions, and behaviors. Analyses of the effect sizes indicated that, overall, narratives had a small impact on persuasion (r = .063, p < .01). Narratives delivered via audio and video produced significant effects; print-based narratives, however, did not exhibit a significant impact. Further, not all health issues were equally affected by narrative messages aiming at intervention. Those narratives that advocated detection and prevention behaviors led to significant effects, whereas those advocating cessation behaviors did not have significant effects. These findings offer both theoretical and practical implications.

Spatial keyword query processing: an experimental evaluation

Abstract: Geo-textual indices play an important role in spatial keyword querying. The existing geo-textual indices have not been compared systematically under the same experimental framework. This makes it difficult to determine which indexing technique best supports specific functionality. We provide an all-around survey of 12 state-of-the-art geo-textual indices. We propose a benchmark that enables the comparison of the spatial keyword query performance. We also report on the findings obtained when applying the benchmark to the indices, thus uncovering new insights that may guide index selection as well as further research.

Evaluating recommender systems from the user's perspective: survey of the state of the art

Abstract: A recommender system is a Web technology that proactively suggests items of interest to users based on their objective behavior or explicitly stated preferences. Evaluations of recommender systems (RS) have traditionally focused on the performance of algorithms. However, many researchers have recently started investigating system effectiveness and evaluation criteria from users' perspectives. In this paper, we survey the state of the art of user experience research in RS by examining how researchers have evaluated design methods that augment RS's ability to help users find the information or product that they truly prefer, interact with ease with the system, and form trust with RS through system transparency, control and privacy preserving mechanisms finally, we examine how these system design features influence users' adoption of the technology. We summarize existing work concerning three crucial interaction activities between the user and the system: the initial preference elicitation process, the preference refinement process, and the presentation of the system's recommendation results. Additionally, we will also cover recent evaluation frameworks that measure a recommender system's overall perceptive qualities and how these qualities influence users' behavioral intentions. The key results are summarized in a set of design guidelines that can provide useful suggestions to scholars and practitioners concerning the design and development of effective recommender systems. The survey also lays groundwork for researchers to pursue future topics that have not been covered by existing methods.