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Research project about new support of social attention management using artificial agents observing and regulating individual or collective behavior in a online community.
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Social Attention Management in Online Community using Artificial
AgentsNicolas Maisonneuve, Research Associate
Centre for Advanced Learning Technologies, INSEAD
Context: European research project www.atgentive.com
2008
Social translucence design
Social translucence design = Design knowledge management system to emphasize the social aspect
(Erickson et al. (2002). “Social translucence: designing social infrastructures that make collective activity visible”)
Why is emphasizing the social aspect important?Change of the user’s perception: from a repository of
resources to a community of peopleEmergence of social mechanisms (trust , affinity) Increase of the participation (main problem in Knowledge
Management)
Social translucence design
Approach 1: Multi Agent System Goal: Detecting and regulating different {collective,indivudual} behavioural scenarios (1 agent = 1 scenario)Agent behavior:
1- Observing the community’s activity2- Detecting a given activity pattern:
- Basic pattern: (e.g. the creation of a response) - More complex pattern: (a burst of activity)
3-Intervention/Recommending: a message with a recommendation is sent to the given user(s)
Objective: To help users to better perceive/understand what happens within the community
Process
A2A1A3
1/ Community Activity (reading, tagging, voting, exchanging knowledge)
4/ Raising of awarenessUsers are aware of bad behavior/hidden collective activity
Activity visible via RSS 2/ External Artificial Agents observe the activity
3/ When an agent detects a given activity pattern, it recommends an action by sending a message to the given user(s)
Agents related to the user’s state
• Agent1: Detecting if a new user is registered:
Msg sent to the user: “Look at the presentation of the community platform”,
Msg for the community to introduce the new user
• Agent 2: Detecting the degree of completeness of a user’s profile
Msg “complete yours skill in your profile”, “add a picture“
• Agent3: Detecting Inattentive user (low connection rate)
Emailing inattentive user with an activity report to attract their attention
Agents related to individual-individual interactions
• Agent4: Detecting if a user A check the user B profile:
Msg to the user B: “UserA viewed your profile”
• Agent5: Detecting if someone responded to User A’s messages
Msg to the user A: “User X responded to your message”
Examples of Basic Agents (1/2)
Agents related to the individual-collective interactions
• Agent 6: Detecting burst of collective activity to a owned resource:
msg to the owner of the resource: “Your profile/message was viewed by a high number of people (12 member(s)) [..]compared to the normal audience the last x days”
• Agent 7: Detecting special interest of a group compared to the collective
“2 members UserA, UserB viewed your profile more frequently than the others”
Examples of Advanced Agents (2/2)
Agents related to the social attention
Agent 8: Detecting change in the Attraction power/charisma of a user
“you’re loosing/gaining some audience compared to the last month”
Agent 9: Detecting if the diversity of the user’attention is low:
Msg to the user: “You don’t enough diversify your interest (focus on same people or same tags)?”
Social translucence design related to resources
Approach Resource/Tag as a memory of the social activity Showing the social activity related a resource or a Tag with the
resources to emphasize its social aspect using web widget
Diffusion in the community / audience of a resource - is my message well diffused in the community? - Is everybody aware about these posting?
Lifecycle of a resource - “is the resource dead?” - “is there a burst of activity now or these last days?”
Social aspect - who were the last readers? - who was interested by this document?
Web widget