Search (15 results, page 1 of 1)

  • × author_ss:"Chen, C."
  1. Chen, C.: Top Ten Problems in Visual Interfaces to Digital Libraries (2002) 0.13
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:13:11
    Source
    Visual Interfaces to Digital Libraries. Eds.: Börner, K. u. C. Chen
  2. Börner, K.; Chen, C.: Visual Interfaces to Digital Libraries : Motivation, Utilization, and Socio-technical Challenges (2002) 0.13
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:20:07
    Source
    Visual Interfaces to Digital Libraries. Eds.: Börner, K. u. C. Chen
  3. Chen, C.; Czerwinski, M.; Macredie, R.: Individual differences in virtual environments : introduction and overview (2000) 0.05
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    Abstract
    The practical significances of identifying and accomodating individual differences has been established across a number of fields of research. There is a renewed interest in individual differences due to the advances in virtual environments, especially through far-reaching technologies such as information visualization and 3D graphical user interfaces on the WWW. The effects of individual differences on the use of these new technologies are yet to be found out. More fundamentally, theories and methods developed for the earlier generations of information systems are subject to a close examination of their applicability, efficiency, and effectiveness. In this article, we present a brief historical overview of research in in individual differences in the context of virtual environments. In particular, we highlight the notion of structure in the perception of individual users of an information system and the role of individuals' abilities to recognize and use such structures to perform various information-intensive tasks. Striking the balance between individuals' abilities and the demanding task for detecting, understanding, and utilizing such structures is an emerging theme across the 5 articles in this special issue. We outline the approaches and the major findings of these articles with reference to this central theme
    Date
    5. 4.2000 12:29:00
  4. 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
  5. Chen, C.: Visualizing scientific paradigms : an introduction (2003) 0.00
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    Date
    29. 3.2003 19:31:07
  6. Chen, C.: Encarta und The Grolier Multimedia Encyclopedia : additional comments from the journal editor (1995) 0.00
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    Abstract
    Presents results of the empirical study of whether skills and knowledge might be transferable between hypermedia systems as is the case with conventional paper based materials. In order to facilitate better understanding of the study, provides comments and information on the 2 multimedia encyclopedias studied: Microsoft's 'Encarta'; and 'The Grolier Multimedia Encyclopedia'
  7. Chen, C.; Paul, R.J.; O'Keefe, B.: Fitting the Jigsaw of citation : information visualization in domain analysis (2001) 0.00
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    Date
    29. 9.2001 14:00:53
  8. Ping, Q.; He, J.; Chen, C.: How many ways to use CiteSpace? : a study of user interactive events over 14 months (2017) 0.00
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    Abstract
    Using visual analytic systems effectively may incur a steep learning curve for users, especially for those who have little prior knowledge of either using the tool or accomplishing analytic tasks. How do users deal with a steep learning curve over time? Are there particularly problematic aspects of an analytic process? In this article we investigate these questions through an integrative study of the use of CiteSpace-a visual analytic tool for finding trends and patterns in scientific literature. In particular, we analyze millions of interactive events in logs generated by users worldwide over a 14-month period. The key findings are: (i) three levels of proficiency are identified, namely, level 1: low proficiency, level 2: intermediate proficiency, and level 3: high proficiency, and (ii) behavioral patterns at level 3 are resulted from a more engaging interaction with the system, involving a wider variety of events and being characterized by longer state transition paths, whereas behavioral patterns at levels 1 and 2 seem to focus on learning how to use the tool. This study contributes to the development and evaluation of visual analytic systems in realistic settings and provides a valuable addition to the study of interactive visual analytic processes.
  9. Chen, C.; Leydesdorff, L.: Patterns of connections and movements in dual-map overlays : a new method of publication portfolio analysis (2014) 0.00
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    Date
    29. 1.2014 16:38:28
  10. 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) 0.00
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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.
  11. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.00
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    Date
    22. 7.2006 16:11:05
  12. Liu, S.; Chen, C.: ¬The differences between latent topics in abstracts and citation contexts of citing papers (2013) 0.00
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    Date
    22. 3.2013 19:50:00
  13. Chen, C.: Generalised similarity analysis and pathfinder network scaling (1998) 0.00
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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
  14. Chen, C.; Ibekwe-SanJuan, F.; Pinho, R.; Zhang, J.: ¬The impact of the sloan digital sky survey on astronomical research : the role of culture, identity, and international collaboration (2008) 0.00
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    Content
    We investigate the influence of culture and identity (geographic location) on the constitution of a specific research field. Using as case study the Sloan Digital Sky Survey (SDSS) project in the Astronomy field, we analyzed texts from bibliographic records of publications along three cultural and geographic axes: US only publications, non-US publications and international collaboration. Using three text mining systems (CiteSpace, TermWatch and PEx), we were able to automatically identify the topics specific to each cultural and geographic region as well as isolate the core research topics common to all geographic zones. The results tended to show that US-only and non-US research in this field shared more commonalities with international collaboration than with one another, thus indicating that the former two (US-only and non-US) research focused on rather distinct topics.
  15. He, J.; Ping, Q.; Lou, W.; Chen, C.: PaperPoles : facilitating adaptive visual exploration of scientific publications by citation links (2019) 0.00
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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.