HF300: Human Error

Lecture Announcements

  • Reminder about Quiz 7

    • Due date: This morning.

    • High scoring, great job to everyone.

    • Review of answers scheduled for Tuesday’s lecture.

  • Design Day Overview

    • Reminder for presentations of decision choices.

    • Lighter lecture with a focus on design presentation.

  • Exam 3 Information

    • Scheduled for one week from Thursday; not cumulative.

    • Study guide available on Canvas, complete resource based on materials since Exam 2.

  • Project Submissions

    • Due date: December 2 at 5 PM.

    • Submit via Canvas to avoid last-minute confusion.

  • Extra Credit Information

    • Due by December 4 at 9:30 AM, before Exam 3.

  • Human Factors related articles

    • Send article topics for review if unsure about relevance.

    • Recommendations: Check the Human Factors Journal.

  • Presentation Slides Submission

    • Due by the Monday before design day, 24 hours in advance.

Last Lecture: Human Error

  • Context of the Lecture

    • Last lecture of the semester focusing on the concept of human error.

    • Importance of defining and understanding human error based on definitions from different sources.

Definitions of Human Error

  • Variability in Definitions

    • No universally accepted definition as of 2025.

    • Common components across definitions: failure to achieve desired outcomes, inappropriate or undesirable behavior affecting effectiveness or safety.

  • Preferred Definitions

    • Human error is defined as actions that reduce or potentially reduce effectiveness, safety, or performance.

    • Also defined as actions outside the bounds of expected acceptable performance in a specific situation.

  • Notable Aspects

    • Error occurrence does not always require adverse consequences; an error can exist without visible outcomes.

Concepts of Human Error

  • Human error classification based on two primary sources:

    • Causation of problems created by the error.

    • Situational consequences from errors.

  • Example Scenarios

    • Nurse misreads a medication label (error leading to wrong dosage).

    • A worker makes errors due to fatigue or stress.

  • Quote by James Reason on Human Error

    • "Bad design is often the culprit of human error."

    • Example: Issues in flight deck design leading to operational errors (gear vs. flaps).

Inherent Limitations of Training

  • Training alone cannot eliminate human error.

    • Highly trained professionals can still make errors.

  • Importance of recognizing human limitations:

    1. Experienced doctors can make medical errors.

    2. Experienced pilots can still cause accidents.

    3. Drivers make mistakes despite proper education and experience.

Types of Errors: Classifications

Outcome-Focused Errors
  • Errors of Omission

    • Definition: Fail to perform intended actions.

    • Example: Forgetting to sign a quiz.

  • Errors of Commission

    • Definition: Incorrect action taken, performing an action incorrectly.

    • Example: Pressing the addition button instead of subtraction on a calculator.

Process-Focused Errors
  • Slips

    • Error during an intended action execution, i.e., doing the wrong thing.

    • Example: Opening the camera app instead of calculator.

  • Lapses

    • Memory-related failures; forgetting to execute intended actions.

    • Example: Forgetting a scheduled doctor's appointment.

  • Mistakes

    • An error in reasoning; wrong intention or flawed understanding of circumstances.

    • Example: Mistaking oven temperature for baking.

Information Processing Errors
  • Skill-Based Errors

    • Highly automated behavioral mistakes, executed unconsciously.

    • Example: Experienced nurse administering wrong medication due to automatic behavior.

  • Rule-Based Errors

    • Application of the wrong rule or guideline to a situation.

    • Example: Inappropriate extubation actions by health professionals.

  • Knowledge-Based Errors

    • Errors deriving from unfamiliar situations requiring conscious thought and independent decision making.

    • Example: Prescribing a new medication without knowledge.

Waste Categories of Human Error and Definitions

  • Accidents: Unanticipated events leading to consequences (serious injury, equipment damage).

    • Definition example (aviation): Injury or damage occurring from the start of boarding to disembarkation from flight.

  • Near Misses: Instances where an accident almost occurs but is avoided.

    • Example: Slamming on brakes to avoid hitting another car.

  • Violations: Intentional errors that might lead to consequences.

    • Two major types: routine violations (habitual rule bending) and exceptional violations (rare, not condoned).

Strategies for Minimizing Human Error

  • Stress and Workload Factors: Increasing stress levels elevate potential for errors.

  • Error Detection and Prevention: Importance of monitoring work environments and reporting systems.

    • Example: Aviation safety reporting system for error reporting.

  • Error Correction Strategies:

    • Fostering a supportive culture allows for effective error reporting without punishment.

    • Use of team performance monitoring among colleagues.

The Swiss Cheese Model for Understanding Errors
  • Concept of defense layers to prevent accidents; layers (like cheese) have weaknesses (holes).

  • The more weak defenses present, the higher chance errors will pass through all layers leading to accidents.

Conclusion

  • Need for understanding human error in practical applications and future careers.

  • Importance of communication, teamwork, and training in error reduction.

Class Activity Overview

  • Individual analysis of scenarios on types of errors (omission vs. commission, slips vs. mistakes).

  • Group collaboration for discussing scenarios and arriving at consensus answers.

  • Key assessment points:

    • Applying definitions to real-world scenarios.

    • Noting distinctions between types of errors as per classifications discussed in lecture.

Final Notes

  • Reminder of due dates: Projects (December 2), Exam (December 4).

  • Prepare for deficiency presentations related to course content since Exam 2.