{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80937"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80937","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"The Level of Measurement of Human-Automation Trust: Is It on the Level?","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Wei, Jiajun"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Bolton, Matthew","Industrial and Systems Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-29T16:48:18Z","date_published":"2019-10-29T16:48:18Z","updated_at":"2026-07-27T19:05:28Z","subjects":["industrial engineering","behavioral sciences","behavioral psychology"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80937","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bolton, Matthew","Industrial and Systems Engineering"]},{"key":"dc:creator","label":"Author","values":["Wei, Jiajun"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T16:48:18Z","2019","2019-08-09 01:39:30"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["industrial engineering","behavioral sciences","behavioral psychology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80937"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Psychometrics are increasingly being used to evaluate trust in the automation of safety-critical systems. There is no consensus on the level of measurement of trust in automation. This is potentially dangerous, as level of measurement determines what mathematics and statistics can be meaningfully applied to ratings. In this work, we introduced a new method for evaluating the level of measurement of a psychometric rating. We then used this to assess the level of measurement of trust in automation by analyzing data collected using a human subjects experiment. In this experiment, participants made subjective ratings about how much they would trust an unmanned aerial system (UAS) that they observed in simulations to perform search tasks. Analyses of these results indicated that trust is best represented at an ordinal level, but that it can be treated as interval in most situations. It is unlikely that trust in automation is ratio for most people. Furthermore, we used non-parametric methods to analyze the same data set to assess how each of the independent factors included in the experiment influenced human trust ratings. This revealed that performance factors have the most impact on human operator trust in the UAS. We ultimately discussed all of our results, their implications, and future research."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["The Level of Measurement of Human-Automation Trust: Is It on the Level?"]}]}],"canonical_facts":{"dc:contributor":["Bolton, Matthew","Industrial and Systems Engineering"],"dc:creator":["Wei, Jiajun"],"dc:date":["2019-10-29T16:48:18Z","2019","2019-08-09 01:39:30"],"dc:description":["Ph.D.","Psychometrics are increasingly being used to evaluate trust in the automation of safety-critical systems. There is no consensus on the level of measurement of trust in automation. This is potentially dangerous, as level of measurement determines what mathematics and statistics can be meaningfully applied to ratings. In this work, we introduced a new method for evaluating the level of measurement of a psychometric rating. We then used this to assess the level of measurement of trust in automation by analyzing data collected using a human subjects experiment. In this experiment, participants made subjective ratings about how much they would trust an unmanned aerial system (UAS) that they observed in simulations to perform search tasks. Analyses of these results indicated that trust is best represented at an ordinal level, but that it can be treated as interval in most situations. It is unlikely that trust in automation is ratio for most people. Furthermore, we used non-parametric methods to analyze the same data set to assess how each of the independent factors included in the experiment influenced human trust ratings. This revealed that performance factors have the most impact on human operator trust in the UAS. We ultimately discussed all of our results, their implications, and future research."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80937"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["industrial engineering","behavioral sciences","behavioral psychology"],"dc:title":["The Level of Measurement of Human-Automation Trust: Is It on the Level?"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:28Z"}