‘Social’ Systems: Designing Digital Systems that Support Social Intelligence Thomas Erikson AI...
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Transcript of ‘Social’ Systems: Designing Digital Systems that Support Social Intelligence Thomas Erikson AI...
![Page 1: ‘Social’ Systems: Designing Digital Systems that Support Social Intelligence Thomas Erikson AI and Society Presented by Rosta Farzan PAWS Group Meeting.](https://reader036.fdocuments.us/reader036/viewer/2022062906/5a4d1b407f8b9ab0599a0be7/html5/thumbnails/1.jpg)
‘Social’ Systems: Designing Digital Systems that Support Social Intelligence
Thomas EriksonAI and Society
Presented by Rosta FarzanPAWS Group MeetingApril 27, 2007
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Goal
Supporting social intelligence in online systems
Examines social intelligence in
face-to-face behavior
Social ProxyA Minimalist visualization of presence and
activities of participants in online systems
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Outline
Social intelligence Social intelligence in the face-to-face world
Design of social intelligence in online systems
Social Proxies Examples of social proxies
User experience Design principles Discussion
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Social Intelligence
“The ways in which groups of people manage to produce coherent behavior directed towards individual or collective ends”
Why do we care about social intelligence? Groups may produce qualitatively better and
quicker results than individuals Solution produced collectively is more
preferred
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Social Intelligence in Face-to-Face World A tale of two doors
A door opening to a busy hallway Solutions
A sign which says “open door slowly” Inserting a window in the door
Visibility and Accountability Street crossing
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Social Intelligence in Online SystemsGeographically separated peopleDesign
Invoking social normsMaking physical and behavioral cues visible in
online environments
Possibilities 3D virtual environment with avatars Using videos
Significant amount of bandwidth, screen space
Not scalableAssociated with gamesPrivacy issues
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Social Proxy
Minimalist graphical representation of socially salient aspects of an online interaction
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Examples of Social Proxies
Social Proxy for chat environmentCircles represent chat roomDots represent usersActive users are close to circle’s hub
Timeline represents user’s activityUsers leave flat traces when logged onTraces are blipped when users talk
Appropriate for synchronous patterns of interaction
Appropriate for patterns of activity over time
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More Examples
Lecture proxy
Dots represent peopleDots are positioned according to how much each person has spoken during the last 3 minutes
Lecture NormNo audience interruption
An audience member interrupting
Many interruption
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Large Scale Example
Task proxy for organization-wide activities Facilitate performance of tasks that require the
coordination of many individuals
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User Experience
Chat proxies Engaging and
informative Users making
inferences not necessarily correct Part of life as social
beings Easy to learn Ice-breakers
Topic for conversation
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Design Principles
Everyone sees the same thing; no user customization
Portray actions, not interpretation Should allow deception Support micro/macro readings Ambiguity is useful: suggest rather than
inform Use a third person point of view
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Discussion