The current study investigated age differences in the use of attentional deployment, positive reappraisal and suppression while regulating responses to sadness-eliciting content. We also tested to what extent these emotion regulation strategies were useful for each age group in managing response to age-relevant sad information. Forty-two young participants (Mage = 18.5, SE =.15) and 48 older participants (Mage = 71.42, SE = 1.15) watched four sadness-eliciting videos (about death/illness, four to five minutes long) under four conditions—no-regulation (no regulation instructions), attentional (...) deployment (divert attention away), positive reappraisal (focus on positive outcomes) and suppression (conceal emotional expressions). We assessed negative emotional experience, expression, skin conductance level (SCL) and visual fixation duration while participants watched the emotional clips and followed the instructions for each condition. Results suggest that older adults were more successful than younger adults at implementing both attentional deployment and positive reappraisal. Ability to suppress emotions appears to remain stable with age. Within age-group comparisons suggested that for the older adults, positive reappraisal was a more useful emotion regulation strategy than the others, while the pattern among younger adults was less conclusive. Age-relevant differences in motivation and successful emotion regulatory efforts based on theoretical and empirical literatures are discussed. (shrink)

While previous research has linked executive attention to emotion regulation, the current study investigated the role of attentional alerting (i.e., efficient use of external warning cues) on younger (N=39) and older (N=44) adults’ use of gaze to regulate their mood in real time. Participants viewed highly arousing unpleasant images while reporting their mood and were instructed to deliberately manage how they felt and to minimise the effect of those stimuli on their mood. Fixations toward the most negative areas of the (...) images were recorded with eye tracking. We examined whether looking less at the most negative regions, compared to each individual's own tendency, was a beneficial mood regulatory strategy and how it interacted with age and alerting ability. High alerting older adults, who rely more on external cues to guide their attention, experienced a smaller decline in mood over time by activating a less-negative-looking approach (compared to their own average tendency), effectively looking away from the most negative areas of the images. More negative gaze patterns predicted better mood for younger adults, though this effect decreased over time. Alerting did not moderate gaze–mood links in younger adults. Successful mood regulation may thus depend on particular combinations of age, fixation, and attention. (shrink)

As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as (...) potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures’ unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists’ cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems. (shrink)