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  • × author_ss:"Chen, C."
  1. He, J.; Ping, Q.; Lou, W.; Chen, C.: PaperPoles : facilitating adaptive visual exploration of scientific publications by citation links (2019) 0.03
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    Abstract
    Finding relevant publications is a common task. Typically, a researcher browses through a list of publications and traces additional relevant publications. When relevant publications are identified, the list may be expanded by the citation links of the relevant publications. The information needs of researchers may change as they go through such iterative processes. The exploration process quickly becomes cumbersome as the list expands. Most existing academic search systems tend to be limited in terms of the extent to which searchers can adapt their search as they proceed. In this article, we introduce an adaptive visual exploration system named PaperPoles to support exploration of scientific publications in a context-aware environment. Searchers can express their information needs by intuitively formulating positive and negative queries. The search results are grouped and displayed in a cluster view, which shows aspects and relevance patterns of the results to support navigation and exploration. We conducted an experiment to compare PaperPoles with a list-based interface in performing two academic search tasks with different complexity. The results show that PaperPoles can improve the accuracy of searching for the simple and complex tasks. It can also reduce the completion time of searching and improve exploration effectiveness in the complex task. PaperPoles demonstrates a potentially effective workflow for adaptive visual search of complex information.
  2. Chen, C.: Individual differences in a spatial-semantic virtual environment (2000) 0.02
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    Abstract
    This article presents 2 studies concerning the role of individual differences in searching through a spatial-semantic virtual environment. In the first study, 10 subjects searched for 2 topics through a spatial user interface of a semantic space. A strong positive correlation was found between associative memory (MA-1) and search performance (r=0,855, p=0,003) but no significant correlation was found between visual memory (MV-1) and search performance. In the secon study, 12 subjects participated in a within-subject experimental design. The same spatial user interface and a simple textual user interface were used. The effects of spatial ability (VZ-2), associative memory (MA-1), and on-line experience were tested on a set of interrelated search performance scores. A statistically significant main effect of on-line experience was found, F(6,4)=6,213, p=0,049, two-tailed. In particular, on-line experience has a significant effect on the recall scores with the textual interface. Individuals experienced in on-line esearch are more likely to have a higher recall score with the textual interface than less experienced individuals. No significant main effects were found for spatial ability and associative memory. Subjects' comments suggest a potentially complex interplay between individuals' mental models and the high-dimensional semantic model. Qualitative and process-oriented studies are, therefore, called for to reveal the complex interaction between individuals' cognitive abilities, doamin knowledge, and direct manipulation skills. A recommendation is made that spatial-semantic models should be adaptable to suit individuals and tasks at various levels
  3. Chen, C.: Top Ten Problems in Visual Interfaces to Digital Libraries (2002) 0.02
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:13:11
  4. Börner, K.; Chen, C.: Visual Interfaces to Digital Libraries : Motivation, Utilization, and Socio-technical Challenges (2002) 0.02
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:20:07
  5. Chen, C.; Czerwinski, M.: Spatial ability and visual navigation : an empirical study (1997) 0.02
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    Abstract
    Describes a study of individuals' spatial navigation strategies and a number of performance and preference measures with regard to the design of a 3D visualisation. The underlying semantic space of the user interface consists of a collection of papers from the 3 most recent ACM SIGCHI conference proceedings, visualised as a virtual reality network. This network was automatically constructed based on semantic similarities derived from latent semantic analysis. The project studied the search strategies and general preferences of 11 subjects who used this system to find papers on various topics. The findings should be valuable for designers and evaluators of 3D user interfaces. The results highlight the importance of structural elements in the design of a semantically based user interface, because search strategies of users relied heavily on these mechanisms in the design. Describes the implications for user interface design based on users' psychological models of a semantic space
  6. Chen, C.: Generalised similarity analysis and pathfinder network scaling (1998) 0.01
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    Abstract
    Introduces a generic approach to the development of hypermedia information systems. Emphasises the role of intrinsic inter-document relationships in structuring and visualising a large hypermedia information space. Illustrates the use of this approach based on 3 types of similarity measurements: hypertext linkage, content similarity and usage patterns. Salient patterns in these relationships are extracted and visualised in a simle and intuitive associated network. The spatial layout of a visualisation is optimised such that closely related documents are placed near to each other and only those intrinsic connections among them are shown to users as automatically generated virtual links. Supports self-organized information space transformation based on usage patterns and othe feedback such that the visual strucutre of the information space is incrementally tailored to users' search and browsing styles
  7. Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022) 0.01
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    Abstract
    Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pretrained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration witnessed a sudden decrease. During COVID-19, papers with more first-time collaboration were found to be more novel and international collaboration did not hamper novelty as it had done in the normal periods. The findings suggest the necessity of reaching out for distant resources and the importance of maintaining a collaborative scientific community beyond nationalism during a pandemic.
  8. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.01
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    Date
    22. 7.2006 16:11:05
  9. Liu, S.; Chen, C.: ¬The differences between latent topics in abstracts and citation contexts of citing papers (2013) 0.01
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    Date
    22. 3.2013 19:50:00