Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research...

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Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO TEM & NOSS Week Luxembourg – 10 November 2005

Transcript of Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research...

Page 1: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Normal Operations Safety Survey (NOSS)

Chris HenryThe University of Texas Human Factors Research Project

The University of Texas at Austin

First ICAO TEM & NOSS Week

Luxembourg – 10 November 2005

Page 2: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Aviation Safety EnvelopeAviation Safety Envelope

Safety

Incidents

Accidents

Normal Operations

Page 3: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Safety Data CoverageSafety Data CoverageAccidents

Incidents

Normal Operations

Voluntary Incident Reports

NOSS

Accident InvestigationMandatory Incident Reports

Page 4: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Aviation Safety EnvelopeAviation Safety EnvelopeAccidents

Incidents

Normal Operations

NOSS Rationale Proactive snapshot of system / controller performance strengths and weaknesses

in normal operations (just like a health checkup)

Page 5: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Success FactorsNOSS Success Factors NOSS success is dependent upon methodology and

execution

Low controller trust = Low quality data because there will be no differentiation between NOSS and proficiency checks

AngelPerformance

NaturalPerformance

Formal Check NobodyRegulator

NOSS Observer

- NOSS value +- +

- Controller Trust +- +

Page 6: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS: Gaining Controller TrustNOSS: Gaining Controller Trust

1. Over-the-shoulder observations during normal shifts

2. Joint management / association sponsorship

3. Voluntary Participation

4. Trusted and trained observers

5. Anonymous, confidential, and non-punitive data collection

6. Trusted and secure data collection site

7. Systematic data collection instrument

8. Data verification process

9. Data-derived targets for safety enhancement

10. Feedback results to controllers

Page 7: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Operating Characteristics NOSS Operating Characteristics

1. Over-the-shoulder observations during normal shifts No observations of controllers who are undergoing training No observations while checks are being conducted

2. Joint management / association sponsorship Letter signed by management & association representatives sent to

all controllers

3. Voluntary controller participation Controllers have a right to decline a NOSS observation Denial rates in NOSS trials were low – 1 per 50 observations

Page 8: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Operating CharacteristicsNOSS Operating Characteristics

4. Trusted and trained observers Trust and Credibility

Selection process – management / association approval of candidates Most observers should be line controllers – but diversity of interested

parties is good.

Training Classroom training, test observations, recalibration session Curriculum

TEM principles and exercises NOSS observation protocols Narrative guidelines

Page 9: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Operating CharacteristicsNOSS Operating Characteristics

5. Anonymous, confidential, and non-punitive data collection No names, employee numbers, dates, experience, or other

identifying information Data used for safety purposes only – no punitive actions Observers identity is known only by the third party facilitator

6. Trusted and secure data collection site Third party or controller association gatekeeper Controllers and observers must be comfortable with the data

collection site

7. Systematic data collection instrument No judgments – observers record data based on TEM events

Page 10: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Operating CharacteristicsNOSS Operating Characteristics

8. Data verification process TEM data checked to ensure coding accuracy and consistency with

SOP Data analysis does not begin until verification has been completed

9. Data-derived targets for safety enhancement Serve as benchmarks for safety change Initial NOSS, safety change process, follow-up NOSS

10. Feedback results to controllers Results summarized for controllers Information on how organization intends to respond to the data

Page 11: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS DefinedNOSS Defined

The 10 characteristics that differentiate NOSS (LOSA) from other methodologies have been endorsed by ICAO IATA IFATCA (6) IFALPA US ALPA UT

NOSS must have all ten characteristics

Page 12: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Methodological ConsiderationsMethodological Considerations

At which level were the NOSS trial observations focused? Groups Groups Individual ControllersIndividual Controllers PositionsPositions

Interviews Threats, errors, and undesired states must be observableThreats, errors, and undesired states must be observable

Page 13: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

DemographicsDemographics

Page 14: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

General NarrativeGeneral Narrative

Page 15: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

BriefingsBriefings

Page 16: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Threat Management WorksheetThreat Management Worksheet

Page 17: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Error Management WorksheetError Management Worksheet

Page 18: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

TEM CountermeasuresTEM Countermeasures

Page 19: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Threat Codebook - IThreat Codebook - I

Page 20: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Threat Codebook - IIThreat Codebook - II

Page 21: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Error CodebookError Codebook

Page 22: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

US CodebookUS Codebook

Page 23: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Report and Raw Data Most frequent and mismanaged threats

Most frequent and mismanaged errors

Strengths and weaknesses of Threat and Error Countermeasures

Facility to facility or sector to sector differences

Comparison to similar airspace of other air traffic service providers

NOSS Report

NOSS Raw Data

Text from all narratives

Listing and coding of every threat, error, and undesired state observed

Page 24: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Sample Final Report ChartsSample Final Report ChartsErro r Typ es(To ta l = 2 2 5 N OSS obs erv ations )

Error Prevalence (Perc entage of NOSS obs erv ations w ith an error)

1 0 % 2 0 % 3 0 % ` 4 0 % 5 0 % 6 0 % 7 0 % 8 0 % 9 0 % 1 0 0 %

All Errors

Inform ation Dis playT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only

BriefingsT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only

Phras eologyT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only

81%

34%

8%

10%

Error Types(T otal = 225 NOSS Ob se rva tio n s)

Error M ismanagement (Perc entage of NOSS o b se rva tio n s w ith a misma n a g e d e rro r)

1 0 % 2 0 % 3 0 % 4 0 % 5 0 % 6 0 % 7 0 % 8 0 % 9 0 % 1 0 0 %

All ErrorsT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only

Inform ation Dis playT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only

BriefingT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only

Phras eologyT he data pres ented in this table is fic titious -

intended for us e as an ex am ple only5%

27%

9%

42%

Page 25: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

Raw Data: Narratives - HandoversRaw Data: Narratives - Handovers

NOSS Observation #17 Handover/Takeover #1 Time Stamp 14:36 XYZ Radar Sector

Positions Staffed: Radar Controller Position Relieved: Radar Controller

The oncoming controller was at the start of their shift, when they arrived they walked straight up to the console and

started a conversation with the XYZ Controller about non operational matters, this distracted the controller whilst

aircraft were calling resulting in a number of missed calls from aircraft being made to the XYZ Controller. The

briefing commenced with the oncoming controller not reading any of the requisite briefing material. The controller

giving the HO/TO did it from memory, the checklist provided was not referred to and not all the pertinent information

was covered. The controller giving the HO/TO did not mention the RWY configuration in XXX or the fact that they

were on ILS approaches. At the end of the HO/TO, the relieving controller plugged in and did not voice log on.

Page 26: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Raw Data - NarrativesNOSS Raw Data - Narratives

ABC47 crossed into the XYZ sector but did not contact the controller. At time 19:42, BB TMA called the XYZ sector controller requesting a non-standard level of FL350 for a flight, which was approved and properly noted. During this conversation, ABC47 called but was not heard due to the ongoing conversation with BB TMA. At this point the A/C was already 40 nm into the sector (this was a very late call). A minute later, ABC47 called again and this time the controller heard the call. At this point it was discovered that ABC47 was east of track by 3nm without prior authorization leading to a potential conflict with EDF54 who was in the vicinity climbing to FL160. ABC47 given a right turn to manage the situation and both A/C were given traffic information. Additionally, CVR310 was descending through the level of ABC47 while it was not on the appropriate frequency (inside the XYZ sector).

Page 27: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS Observation #: 27 Threat # 3 XYZ Radar Sector Time Stamp: 17:42

Threat DescriptionAAA4103,04,4003, and BBB405 were operating in the XYZ airspace at the same time with similar callsigns.

Threat Management DescriptionThe XYZ controller made a general broadcast to the aircraft advising of the potential for confusion and was particularly careful to ensure the correct read-back and callsign with instructions. All calls where made to the appropriate a/c and the correct a/c responded to the calls each time.

Threat Type Airborne

Threat Code Similar Call Signs

Threat Outcome: Inconsequential

Raw Data: ThreatsRaw Data: Threats

Page 28: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS SummaryNOSS Summary Primary features

Purely diagnostic – no solutions – “operations health check”

Captures system safety and controller performance issues prior to the occurrence

of incidents

Identifies system safety and controller performance strengths and weaknesses in

normal operations using observations

Analysis

Aggregated TEM data provides a safety snapshot of operations on a typical day

Organizational change

Measure the effectiveness safety solutions with a follow-up NOSS

Page 29: Normal Operations Safety Survey (NOSS) Chris Henry The University of Texas Human Factors Research Project The University of Texas at Austin First ICAO.

NOSS – Future UT ActivitiesNOSS – Future UT Activities

NOSS & LOSA: What can each add to the other? NAV CANADA radar trial Airservices Australia tower trial Multi-stage reliability studies in conjunction with the FAA &

NOSS trial partners European trials?