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H.M. Kroon
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Exploring the Effect of Authority Change as a Trust Repair Strategy in Human-Agent Teams
In multi-member human-agent teams the communication and shared mental models within the team are essential for good teamwork and team performance. In some ways the mediating processes are even more important than in human-only team because the artificial agents of today lack many of the innate social behaviours that humans naturally possess. Research into human-agent teams have allowed designers of such teams to anticipate for complex interactions such as trust violation and repair scenarios. In this study a human-agent-agent team undertakes a search- and rescue mission with the human in a leading role, one of the agents free-roaming and the other agent under the human's direct control. Approximately one-third of the way through the mission, the autonomous agents initiated actions independently of human approval, thereby undermining operator trust. As a trust repair strategy the agent employs a promise to do better and a novel authority change by lowering its level of automation and presenting the option of restricting cooperation with the other agent.
We conducted the experiment with thirty participants divided into a two groups with differing trust repair strategies (promise only, promise with the authority change) and measured trust perception at three different time steps.
Results show no significant difference between the two trust repair strategies when directly comparing to trust. A positive correlation between the authority change trust repair strategy and task load on trust recovery was found. Through thematic analysis we did find that the shared mental model and communication richness to be dissonant to what participants expected which is in line with literature on the complexity of triadic teams. ...
We conducted the experiment with thirty participants divided into a two groups with differing trust repair strategies (promise only, promise with the authority change) and measured trust perception at three different time steps.
Results show no significant difference between the two trust repair strategies when directly comparing to trust. A positive correlation between the authority change trust repair strategy and task load on trust recovery was found. Through thematic analysis we did find that the shared mental model and communication richness to be dissonant to what participants expected which is in line with literature on the complexity of triadic teams. ...
In multi-member human-agent teams the communication and shared mental models within the team are essential for good teamwork and team performance. In some ways the mediating processes are even more important than in human-only team because the artificial agents of today lack many of the innate social behaviours that humans naturally possess. Research into human-agent teams have allowed designers of such teams to anticipate for complex interactions such as trust violation and repair scenarios. In this study a human-agent-agent team undertakes a search- and rescue mission with the human in a leading role, one of the agents free-roaming and the other agent under the human's direct control. Approximately one-third of the way through the mission, the autonomous agents initiated actions independently of human approval, thereby undermining operator trust. As a trust repair strategy the agent employs a promise to do better and a novel authority change by lowering its level of automation and presenting the option of restricting cooperation with the other agent.
We conducted the experiment with thirty participants divided into a two groups with differing trust repair strategies (promise only, promise with the authority change) and measured trust perception at three different time steps.
Results show no significant difference between the two trust repair strategies when directly comparing to trust. A positive correlation between the authority change trust repair strategy and task load on trust recovery was found. Through thematic analysis we did find that the shared mental model and communication richness to be dissonant to what participants expected which is in line with literature on the complexity of triadic teams.
We conducted the experiment with thirty participants divided into a two groups with differing trust repair strategies (promise only, promise with the authority change) and measured trust perception at three different time steps.
Results show no significant difference between the two trust repair strategies when directly comparing to trust. A positive correlation between the authority change trust repair strategy and task load on trust recovery was found. Through thematic analysis we did find that the shared mental model and communication richness to be dissonant to what participants expected which is in line with literature on the complexity of triadic teams.
Decentralized Finance (DeFi) is build on smart-contract supporting blockchains, with Ethereum being the largest ecosystem. A collection of smart-contracts aims to serve as decentralized implementations of financial systems. The philosophy of DeFi dictates automation and desintermediation through exploiting nascent distributed ledger technology and cryptoanarchist ideologies. Interest in DeFi has risen in the past year, with total value locked in Ethereum based decentralized applications having multiplied fiftyfold. Lending is one of the main building blocks of finance and DeFi protocols try to provide that service. Lending services offer liquidity in exchange for counterparty guarantee. Due to the pseudonymous nature of DeFi that guarantee is limited to collateral, which is expressed in overcollateralization as a result of cryptomarket volatility. A persistent, untamperable and uniquely identifiable credit history opens the door for counterparty guarantee without liquid collateral. Uncollateralized lending lowers a barrier of entry for mainstream adoption of Decentralized Finance. This paper proposes a novel solution to cryptographically secured loans in a decentralized system by presenting a credit history linked to a persistent self-sovereign identity.
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Decentralized Finance (DeFi) is build on smart-contract supporting blockchains, with Ethereum being the largest ecosystem. A collection of smart-contracts aims to serve as decentralized implementations of financial systems. The philosophy of DeFi dictates automation and desintermediation through exploiting nascent distributed ledger technology and cryptoanarchist ideologies. Interest in DeFi has risen in the past year, with total value locked in Ethereum based decentralized applications having multiplied fiftyfold. Lending is one of the main building blocks of finance and DeFi protocols try to provide that service. Lending services offer liquidity in exchange for counterparty guarantee. Due to the pseudonymous nature of DeFi that guarantee is limited to collateral, which is expressed in overcollateralization as a result of cryptomarket volatility. A persistent, untamperable and uniquely identifiable credit history opens the door for counterparty guarantee without liquid collateral. Uncollateralized lending lowers a barrier of entry for mainstream adoption of Decentralized Finance. This paper proposes a novel solution to cryptographically secured loans in a decentralized system by presenting a credit history linked to a persistent self-sovereign identity.