How it Works
The library is underpinned by a taxonomy developed as part of the UKRI Trustworthy Autonomous Systems (TAS) initiative. Each usecase is classifed in two ways:
(a) using keywords that describe the nature of the interaction - Trust Type (competency-based, value-based, combination); Stage/Experience (instantaneous, changing, mis-calibrated, future); Interaction (collaboration, copmetition, conversation, influence, observation, provocation); Risk (financial, physical, environmental, privacy, psychological, task failure, speculative)
(b) with keywords that describe the experimental conditions/constraints: System TYpe (robotic, robotic-AV, Virtual, Embedded); Test Environment (in-the-wild, in-the-lab [which may be artificial environment, in-person, immersive, audio-visual, online); Measurement (behavioural, physological, self-reported, external); Domain constraints (participant-specific, equipment-specific, task-specific)
Plus, some usecases can also be classified according to an experimental pattern that might apply to them: Pattern (foot-in-the-door, prioritisation, prisoners' dilemma, reliability calibration, suck-it-and-see, trust game, yes-no).
For details, see Explanation of Terms
We calculate the user rating based on how easily contributors think it would be to employ that usecase under different experimental conditions. The original uploader makes the first assessment but the usecase's standing may change depending on votes it receives from other contributors.
The library infrastructre was originally built by e-Research at King's College London. The code for that structure is open source and can be accessed from https://github.com/TASLibrary/main.