@inproceedings{d7c3caf60ade41f49cbf0bc5f3094e70,
title = "Modeling human-robot trust in emergencies",
abstract = "Modeling human trust decisions is a notoriously difficult problem. We focus on decisions where a victim must decide whether to trust a robot in an emergency situation and outline the necessary inputs to model this decision. These inputs can each be represented as an outcome matrix and combined using a weighted sum. Calibrating these weights can be accomplished through the use of internet surveys.",
author = "Paul Robinette and Wagner, {Alan R.} and Howard, {Ayanna M.}",
year = "2014",
language = "English (US)",
isbn = "9781577356448",
series = "AAAI Spring Symposium - Technical Report",
publisher = "AI Access Foundation",
pages = "62--63",
booktitle = "The Intersection of Robust Intelligence and Trust in Autonomous Systems - Papers from the AAAI Spring Symposium, Technical Report",
address = "United States",
note = "2014 AAAI Spring Symposium ; Conference date: 24-03-2014 Through 26-03-2014",
}