trust in a networked world: problems and measures
TRANSCRIPT
http://copelabs.ulusofona.pt
Human-centered Computing Lab
Trust in a networked world: Problems and measures
Rodrigo Brito, [email protected] Moreira, [email protected]
Feb 24th, 2015C-Brain Meetings, Room U05, Lisboa, Portugal
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Agenda
What is trust? Problems of Trust in Social Relations Generalized Trust Interpersonal Trust: Relational Models and Types of Interdependence Interpersonal Trust: What’s at Stake in each Relation? Risk Associated to Relations Behavioural Measures of Trust Different Perspectives of Trust Trust in Computer/Networking Overlaps and Distinctions Towards a Common View of Trust
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What is Trust?
• “(Belief that) someone is good and honest and will not harm you, or that something is safe and reliable” (Cambridge Dictionary Online)
• “Firm belief in the honesty, goodness, worth, etc. of someone or something; confidence, faith” (Longman Dictionary of Contemporary English)
• “Belief that someone or something is reliable, good, honest, effective, etc.” (Merriam-Webster online)
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What is Trust?
Trust becomes evident when potential damage is greater than potential gains (risk)
Deutsch (1958). Trust and Suspicion. Journal of Conflict Resolution
Trust in others: accepting to shift risk onto a social relation
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What is Trust?
https://www.youtube.com/watch?v=zS8hEj37CrA
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Problems of Trust in Social Relations
Trust in morality vs trust in competence
Generalized trust (in society):
Trust (individuals differences)
Trustworthiness (of individuals, institutions)
Interpersonal (relational) trust
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Generalized Trust measures
“Generally speaking, would you say that most people can be trusted or that you can’t be too careful in life?” (WVS/GSS/ESS)
“Do you think that most people would try to take advantage of you if they got the chance, or would they try to be fair?” (GSS/ESS)
“Would you say that most of the time people try to be helpful or that they are mostly looking out for themselves?” (ESS)
Usefulness: comparing societies / comparing individuals
Effects of generalized trust: knowledge sharing, commerce, economic development
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Trustworthiness
Aggregate individual assessment of individuals / institutions as targets
Based on reputation, gossip etc
Used in feedback systems in online communities / markets (e.g. ebay)
Trust varies by who trusts, who is trusted, and who trusts whom and for what (relational level)
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Interpersonal relations:depend on basic social relational models (Fiske, 1992)
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Interpersonal Trust: Relational Models and Types of Interdependence
symmetric asymmetric
deep
shallow
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Interpersonal Trust:What’s at Stake in each Relation?
symmetric asymmetric
deep
shallow
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Risk Associated to Relations
Perceived risk = probability vs severity (of damage)
Severity: CS > AR > EM > MP
Probability: CS < AR ? EM < MP
Risk assessment: CS, MP < AR, EM
Houde (2004). The four faces of trust. Relational Models Theory 2.0
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Behavioural Measures of Trust
• Experimental research:
• game paradigms (distribution of resources)
• unknown others
• at stake: EM or MP concerns in novel relations
• behavioural trust: giving in expectation of reciprocity (anticipatory tit-for-tat):
“trust is an action that involves the voluntary placement of resources at the disposal of a trustee with no enforceable commitment from the trustee”
Coleman (1990). Foundations of social theory
• Past trust behaviours are better predictors of trusting behaviour than trust beliefs / attitudes (specificity of paradigms?)
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Different Perspectives of Trust
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Trust on the Computer/Networking side
Normally given by utility functions to be maximized
Obtained from device sensing (e.g., WiFi, Bluetooth,)
Different layers vs. cross-layer
Centralized vs. Decentralized
Historical information vs. on-the-fly
Binary vs. Levels
Solo learning vs. Neighboring reputation
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Overlaps and Distinctions
“Definition”
Relational models
“Social interactions”
Social/Psychology
Computer/Networking
Devicedriven
ReputationMeaningful relationships
Two-way road
Manifests atdifferent levels
Humans Machines
Subjectivity Impersonal
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Towards a Common View of Trust
Understand the relational models
– Capture the dynamics and variability of user sociality
– Take into account levels of social relations and other aspects
Provide proper meaning to “social” in networking
– Trust can be measured properly
Challenge: based only on user contact and device handling
– Map to capabilities of the devices for better inference
SONID: Sociality-aware Opportunistic Networking for Information Dissemination (FCT SR&TD project call)
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