A practical tool for information management in forensic decisions: Using Linear Sequential Unmasking-Expanded (LSU-E)...

Area of Science:

• Cognitive Psychology
• Forensic Science
• Decision Analysis

Background:

• Biasing information can significantly impact forensic analysts' decisions.
• The sequence of information delivery affects cognitive processing and decision-making in forensic analysis.
• Existing frameworks like Linear Sequential Unmasking (LSU) and LSU-Expanded (LSU-E) offer research-based guidance for evaluating case information.

Purpose of the Study:

• To introduce a practical tool for implementing the LSU-E framework in forensic casework.
• To enhance the quality, repeatability, reproducibility, and transparency of forensic analysts' decisions.
• To provide concrete guidance for bridging the gap between LSU-E research and practical application.

Main Methods:

• Development of a practical worksheet based on the LSU-E framework.
• Focus on parameters such as objectivity, relevance, and biasing power for information prioritization.
• Guidance for optimal sequencing of information during forensic analysis.

Main Results:

• The presented worksheet facilitates the practical implementation of LSU-E in forensic disciplines.
• LSU-E implementation can improve decision quality by reducing cognitive bias.
• The framework enhances the reliability and transparency of forensic analytical processes.

Conclusions:

• The LSU-E framework, supported by the practical worksheet, offers a viable method to mitigate bias in forensic decision-making.
• Implementing LSU-E can lead to more objective and consistent forensic analysis.
• This approach supports the advancement of forensic science through evidence-based procedural improvements.