Enhancing the cognitive interview with an alternative procedure to witness-compatible questioning: category clustering recall

ABSTRACT

The Cognitive Interview (CI) is one of the most widely studied and used methods to interview witnesses. However, new component techniques for further increasing correct recall are still crucial. We focused on how a new and simpler interview strategy, Category Clustering Recall (CCR), could increase recall in comparison with witness-compatible questioning and tested if a Revised Cognitive Interview (RCI) with CCR instead of witness-compatible questioning and without the change order and change perspective mnemonics would be effective for this purpose. Participants watched a mock robbery video and were interviewed 48 hours later with either the CI or the RCI. Recalled information was classified as either correct, incorrect or confabulation. Although exclusion of the change order and change perspective mnemonics in the RCI group might have caused a slight decrease in recall during the last interview phases, the RCI group generally produced more correct information than the CI group, with a lower number of confabulations. Further analyses revealed CCR was largely responsible for this increase in correct recall. CCR is a very promising interview technique which allowed the interviewer to obtain more detailed information without additional questions and may have, in certain situations, several practical advantages over a questioning phase.

KEYWORDS:

• Cognitive interview
• category clustering recall
• witness-compatible questioning
• change order
• change perspective

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Portuguese Foundation for Science and Technology under Grant number SFRH/BD/84817/2012. This study was conducted at the Psychology Research Centre (UID/PSI/01662/2013), University of Minho, and also supported by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education through national funds and co-financed by FEDER through COMPETE2020 under the PT2020 Partnership Agreement (POCI-01-0145-FEDER-007653).