CI for SN: User Interface & Collaboration Services David De Roure, Tom Finholt, Mark Gahegan, Jim Myers, Gary Giovino, Shashikant Penumarthy, Ramon Sanguesa, Munindar Singh

Emphasis General emphasis on features specific to social networks as opposed to what CI could do for any research problem

Why SN Instead of SNA? Social network engineering is an equally valuable endeavor –Design mechanisms or seed a social system to generate desirable properties –Well-known studies on social capital relating to networks –Importance of generating the right networks for Effective referrals Inducing suitable norms and conventions

Challenges for SN: 1 Evaluation –What is a gold standard? –User preferences regarding whom to deal with Important aside: consider empathy and affect

Challenges for SN: 2 Heterogeneity or diversity –User interfaces and metaphors thereof –Conceptual models and data formats –What to store and harvest –Granularity to expose (relates to provenance) Processes Outcomes –Accommodating agents in general, not just people

Challenges for SN: 3 Meta UI –Insights into dynamics –What relationships are derivable? –What key information is hidden?

Challenges for SN: 4 Threats –Privacy control difficulties because of third party interactions –Possibility of manipulation

Challenges for SN: 5 SN as an empirical science –Observing real, live scientists in situ Realistic use cases –Conducting experiments by controlling parameters of interaction –CI communities as testbeds for validation

CI Contributions: 1 Controlling data input to test hypotheses Using CI to obtain data easily

CI Contributions: 2 Respecting community needs –Culture opposed to waterfall model –Configurability by user communities of Conceptual model (granularity, level of tracking) Visualization Standards for usage and sharing

CI Contributions: 3 Special Purpose UIs Visualizing SNs –Chatter –Patterns correlated with socially relevant activities –Sonification –Special views: concentric circle views Managing dynamism of view

CI Contributions: 4 CSCW systems as sources of data –Interaction modalities –Localization and mobility interfaces