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An Analysis of Cross-Document Linking Mechanisms

An Analysis of Cross-Document Linking Mechanisms

Presentation given at JCDL 2018, ACM/IEEE Joint Conference on Digital Libraries, Fort Worth, USA.

ABSTRACT: Physical and digital documents do often not exist in isolation but are implicitly or explicitly linked. Previous research in Human-Computer Interaction and Personal Information Management has revealed certain user behaviour in associating information across physical and digital documents. Nevertheless, there is a lack of empirical studies on user needs and behaviour when defining these associations. In this paper, we address this lack of empirical studies and provide insights into strategies that users apply when associating information across physical and digital documents. In addition, our study reveals the limitations of current practices and we suggest improvements for associating information across documents. Last but not least, we identify a set of design implications for the development of future cross-document linking solutions.

Research paper: https://beatsigner.com/publications/an-analysis-of-cross-document-linking-mechanisms.pdf

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June 04, 2018
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  1. 2 December 2005
    An Analysis of Cross-Document
    Linking Mechanisms
    Ahmed A.O. Tayeh and Beat Signer
    Web & Information Systems Engineering Lab
    Department of Computer Science
    Vrije Universiteit Brussel
    WEB & INFORMATION
    SYSTEMS ENGINEERING

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  2. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 2
    June 4, 2018
    Documents are not Isolated
    ▪ Explicitly or implicitly linked
    ▪ links and footnotes
    ▪ similarity of content
    ▪ Simple link models offered by different document formats
    ▪ embedded and unidirectional in most document formats
    ▪ external and multidirectional in Xlink standard
    ▪ Annotation tools and link services
    ▪ Sun’s Link Service
    ▪ Microcosm
    ▪ Annotea
    CISA
    Human-Machine &
    Human-Information
    Interaction
    Information
    Systems &
    Management
    Information
    Visualisation
    & Navigation

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  3. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 3
    June 4, 2018
    User Behaviour in Associating Information
    ▪ General findings from different research domains
    ▪ digital documents
    - annotations
    - digital folders
    ▪ physical documents
    - annotations
    - physical folders
    ▪ Lack of empirical studies investigating user behaviour
    when linking information within and across documents
    ▪ Our Goal: investigate user behaviour in associating
    information within and across digital and physical
    documents

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  4. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 4
    June 4, 2018
    Methodology
    ▪ Qualitative approach using a multi-case design
    ▪ Online survey investigating
    ▪ whether users associate information in six different scenarios
    ▪ why they associate information
    ▪ which mechanisms are used by users to associate information
    ▪ users’ appreciation and criticism
    ▪ 238 participants: 23 Master’s students, 169 PhD students and
    46 holding a PhD degree
    single
    physical
    (SP)
    multiple physical (MP) single
    digital
    (SD)
    multiple digital same
    (MDS)
    multiple digital
    different (MDD)
    digital physical (DP)

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  5. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 5
    June 4, 2018
    Methodology…
    ▪ Interviews
    ▪ investigate some answers of the survey’s participants
    ▪ get detailed insights about their information association behaviour
    ▪ 12 participants
    ▪ unstructured open questions
    ▪ performed either face-to-face or via Skype
    single
    physical
    (SP)
    multiple physical (MP) single
    digital
    (SD)
    multiple digital same
    (MDS)
    multiple digital
    different (MDD)
    digital physical (DP)

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  6. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 6
    June 4, 2018
    Results: Users Associating Information

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  7. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 7
    June 4, 2018
    Results: Frequency of Associations

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  8. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 8
    June 4, 2018
    Annotation and Highlighting Mechanisms

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  9. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 9
    June 4, 2018
    Single Physical (SP)

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  10. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 10
    June 4, 2018
    Multiple Physical (MP)

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  11. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 11
    June 4, 2018
    Single Digital (SD)

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  12. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 12
    June 4, 2018
    Multiple Digital Same (MDS)

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  13. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 13
    June 4, 2018
    Multiple Digital Different (MDD)

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  14. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 14
    June 4, 2018
    Digital Physical (DP)

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  15. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 15
    June 4, 2018
    User Satisfaction

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  16. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 16
    June 4, 2018
    User Satisfaction…
    ▪ Complaints
    ▪ wasted time in creating & refinding associations
    ▪ not easy to track the linked documents
    ▪ not efficient & mostly relies on memory
    ▪ digital & physical folders are not organised well
    ▪ losing the context of association
    ▪ …

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  17. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 17
    June 4, 2018
    The Need for a Linking Tool
    ▪ 75% indicated the need for a tool to associate information
    ▪ Suggestions
    ▪ web links
    ▪ integration of linking into workflow
    ▪ easy to use and learn
    ▪ navigation of links
    ▪ search and manage hyperlinks
    ▪ integrating physical and digital media
    ▪ …

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  18. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 18
    June 4, 2018
    Design Implications
    ▪ DI1: Granularity of the associations
    ▪ DI2: Bidirectional associations
    ▪ DI3: Documents side by side
    ▪ DI4: Linking across physical & digital media
    ▪ DI5: Management of the associations

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  19. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 19
    June 4, 2018
    Our Link Service

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  20. Ahmed A.O. Tayeh - Department of Computer Science - [email protected] 20
    June 4, 2018
    Conclusions
    ▪ Investigated user behaviour in associating information
    within and across documents
    ▪ Revealed a number of association mechanisms and
    some of their characteristics
    ▪ General findings about user’s appreciation and criticism
    about their used mechanisms
    ▪ Design implications for cross-document linking solutions

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