A Systematic Literature Review to Characterize Asymmetric Interaction in Collaborative Systems

Research Background and Issues

• Issues or Challenges:
  Computer-supported collaboration often relies on symmetric interaction models. However, in certain scenarios, due to differences in user environments or devices (e.g., desktop displays versus virtual reality headsets), users are forced to adopt asymmetric interaction models. How to define such asymmetry and analyze its impact on collaboration has yet to be systematically addressed.

• Significance:
  Asymmetric interaction can significantly affect collaboration efficiency and user experience. For instance, it may facilitate role differentiation but also cause spatial awareness confusion. Systematically understanding the dimensions and effects of asymmetry can help design more effective collaborative systems.

• Research Motivation and Related Work:
  The authors observed that many existing theories (e.g., collaboration studies in mixed reality) may mention asymmetry but lack systematic definitions, classifications, attributes, or in-depth exploration of its role in collaboration. This has led to a knowledge gap in designing adaptive collaborative systems for asymmetric environments.

Solution

• Proposed Approach:
  The authors conducted a systematic literature review aimed at classifying and defining the dimensions of asymmetric interaction, including input/output modalities, dimensionality, device mobility, and more.

• Innovations:
  The authors systematically summarized eight dimensions of asymmetry in collaboration for the first time and proposed a unified framework. This not only addresses the lack of descriptions in asymmetric collaborative systems but also provides guidance for design and optimization.

• Implementation Steps and Key Techniques:

  • Keyword Definition: Keywords such as "collaboration," "asymmetry," and "system" were used, along with synonyms to generate search strings.
  • Literature Screening Process: High-quality peer-reviewed articles were filtered from ACM and IEEE digital libraries, resulting in 46 papers showcasing 57 systems.
  • Coding and Classification: Manual coding was applied to the selected systems, covering attributes like input modality, output modality, task content access, and layout.
  • Identification of Asymmetric Dimensions: Eight dimensions were summarized and defined, including:
    • Input Modality
    • Output Modality
    • Dimensionality
    • User Mobility
    • Display Space
    • Content Access
    • Content Layout
    • Shared Feedback

Research Outcomes

• Specific Findings:

  1. Discovery and Description: Systematic analysis of eight asymmetric dimensions and their manifestations in collaborative systems, providing clear definitions and examples.
  2. Conclusions and Implications:
     • Many asymmetries are not inherently "flaws" but rather opportunities for design. For example, asymmetric input/output modalities can offer advantages for specific collaborative tasks.
     • The proposed classification reveals common qualitative differences in real-world systems, offering a basis for optimizing collaborative design.

• Advantages Compared to Existing Solutions:
  Unlike existing literature that is limited to specific domains (e.g., mixed reality), this study employs a systematic literature review approach, covering diverse application scenarios and interaction designs, making it more broadly applicable and generalizable.

• Experimental or Evaluation Results:
  The study indicates that asymmetries in input modality and output modality are the most common (each present in 88% of systems). Additionally, asymmetries in content access (60%) and shared feedback (56%) are also prominent.

• Limitations and Future Directions:

  • Limitations:

    1. The literature review is limited to articles explicitly mentioning "asymmetry," potentially overlooking papers that include the concept but do not explicitly use the term.
    2. The dataset primarily focuses on systems in the mixed reality domain, which may introduce domain bias.
    3. The study mainly addresses synchronous collaboration and does not extend to asynchronous collaboration.

  • Future Directions:

    1. Expand the asymmetry framework to include asynchronous collaborative systems.
    2. Conduct longitudinal studies to observe behavioral changes and long-term impacts in collaboration.
    3. Develop online tools based on the framework to help practitioners classify systems and locate relevant literature.

Conclusion

Through a systematic literature review, this study comprehensively summarizes eight dimensions of asymmetry in collaborative systems and deeply explores their impact on collaboration, providing a theoretical and practical foundation for asymmetric interaction design. Future extensions will contribute to optimizing collaboration and fostering innovation across broader domains.