Personal lifelog archives contain digital records captured from an individual’s daily life, for example emails, documents edited, webpages downloaded and photographs taken. While capturing this information is becoming increasingly easy, subsequently locating interesting items from within these archives is a significant challenge. One potential source of information to identify items of importance to an individual is their affective state during the capture of the information. The strength of an individual’s affective response to their current situation can often be gauged from their physiological response. For this study we explored the utility of the following biometric features to indicate significant items: galvanic skin response (GSR), heart rate (HR) and skin temperature (ST). Significant or important events tend to raise an individual’s arousal level, causing a measurable biometric response. We examined the utility of using biometric response to identify significant items and for re-ranking traditional information retrieval (IR) result sets. Results obtained indicate that skin temperature is most useful for extracting interesting items from personal archives containing passively captured images, computer activity and SMS messages.