{"id":{"repo_id":"nodak","oai_identifier":"oai:commons.und.edu:theses-1377"},"canonical_url":"https://search.dev.ndltd.org/etd/nodak/oai:commons.und.edu:theses-1377","repository":{"repo_id":"nodak","name":"University of North Dakota","base_url":"https://commons.und.edu/do/oai/"},"display":{"title":"A Mixed Method Approach to Collegiate Aviation Self-Assessment of G-Load on Landing: Pilot Perception Versus Reality","abstract":"Because there is no universal definition of a hard landing, pilots themselves must determine if a landing was hard enough to require an unscheduled maintenance inspection. Large, transport category aircraft are equipped with flight data monitoring (FDM) as a secondary data source that can help pilots determine if a hard landing occurred, but FDM is not commonplace in general aviation. It is important for a pilot to be able to differentiate between a firm landing that does not cause damage to the aircraft and hard landing that potentially could cause damage to the aircraft by means of vestibular, visual, and proprioceptive cues. Self-assessment of these cues helps pilots determine if the landing should be considered a hard landing. Self-assessments are subjective and depending upon metacognitive level, a pilot may fall prey to self-serving bias. To determine if self-serving bias is present in the aviation domain, participants completed a survey on landing perceptions. Additionally, flight data monitoring equipment provided actual landing data. Results suggest that self-serving bias is not common in the aviation domain unlike existing literature suggests. Many participants were unable to accurately perceive landing G-load, indicating that FDM equipment provides reliable data.","abstract_html":"Because there is no universal definition of a hard landing, pilots themselves must determine if a landing was hard enough to require an unscheduled maintenance inspection. Large, transport category aircraft are equipped with flight data monitoring (FDM) as a secondary data source that can help pilots determine if a hard landing occurred, but FDM is not commonplace in general aviation. It is important for a pilot to be able to differentiate between a firm landing that does not cause damage to the aircraft and hard landing that potentially could cause damage to the aircraft by means of vestibular, visual, and proprioceptive cues. Self-assessment of these cues helps pilots determine if the landing should be considered a hard landing. Self-assessments are subjective and depending upon metacognitive level, a pilot may fall prey to self-serving bias. To determine if self-serving bias is present in the aviation domain, participants completed a survey on landing perceptions. Additionally, flight data monitoring equipment provided actual landing data. Results suggest that self-serving bias is not common in the aviation domain unlike existing literature suggests. Many participants were unable to accurately perceive landing G-load, indicating that FDM equipment provides reliable data.","abstract_has_math":false,"creators":["Hensellek, Karin Louise"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Aviation","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-08-01T07:00:00Z","date_published":"2013-08-01T07:00:00Z","updated_at":"2026-07-24T03:25:14Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.und.edu/theses/378","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Hensellek, Karin Louise"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aviation"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.und.edu/theses/378"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Because there is no universal definition of a hard landing, pilots themselves must determine if a landing was hard enough to require an unscheduled maintenance inspection. Large, transport category aircraft are equipped with flight data monitoring (FDM) as a secondary data source that can help pilots determine if a hard landing occurred, but FDM is not commonplace in general aviation. It is important for a pilot to be able to differentiate between a firm landing that does not cause damage to the aircraft and hard landing that potentially could cause damage to the aircraft by means of vestibular, visual, and proprioceptive cues. Self-assessment of these cues helps pilots determine if the landing should be considered a hard landing. Self-assessments are subjective and depending upon metacognitive level, a pilot may fall prey to self-serving bias. To determine if self-serving bias is present in the aviation domain, participants completed a survey on landing perceptions. Additionally, flight data monitoring equipment provided actual landing data. Results suggest that self-serving bias is not common in the aviation domain unlike existing literature suggests. Many participants were unable to accurately perceive landing G-load, indicating that FDM equipment provides reliable data."]},{"key":"dc:title","label":"Title","values":["A Mixed Method Approach to Collegiate Aviation Self-Assessment of G-Load on Landing: Pilot Perception Versus Reality"]}]}],"canonical_facts":{"dc:creator":["Hensellek, Karin Louise"],"dc:description.abstract":["Because there is no universal definition of a hard landing, pilots themselves must determine if a landing was hard enough to require an unscheduled maintenance inspection. Large, transport category aircraft are equipped with flight data monitoring (FDM) as a secondary data source that can help pilots determine if a hard landing occurred, but FDM is not commonplace in general aviation. It is important for a pilot to be able to differentiate between a firm landing that does not cause damage to the aircraft and hard landing that potentially could cause damage to the aircraft by means of vestibular, visual, and proprioceptive cues. Self-assessment of these cues helps pilots determine if the landing should be considered a hard landing. Self-assessments are subjective and depending upon metacognitive level, a pilot may fall prey to self-serving bias. To determine if self-serving bias is present in the aviation domain, participants completed a survey on landing perceptions. Additionally, flight data monitoring equipment provided actual landing data. Results suggest that self-serving bias is not common in the aviation domain unlike existing literature suggests. Many participants were unable to accurately perceive landing G-load, indicating that FDM equipment provides reliable data."],"dc:identifier":["https://commons.und.edu/theses/378"],"dc:title":["A Mixed Method Approach to Collegiate Aviation Self-Assessment of G-Load on Landing: Pilot Perception Versus Reality"],"thesis:degree_discipline":["Aviation"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T03:25:14Z"}