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The Effects of Cue Factors and Priming on Prospective Memory Performance Jon B. Holbrook San Jose State University Foundation/NASA Ames Research Center – PowerPoint PPT presentation

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Title: REFERENCES


1
The Effects of Cue Factors and Priming on
Prospective Memory Performance
Jon B. Holbrook San Jose State University
Foundation/NASA Ames Research Center
R. Key Dismukes NASA Ames Research Center
  • BACKGROUND
  • Prospective memory (PM) requires recollection of
    an intended action without an explicit prompt to
    attempt retrieval. McDaniel and Einstein (2000)
    have proposed a multiprocess framework in which
    retrieval of an intention may be supported by
    strategic monitoring of the environment for the
    target event as well as by automatic retrieval of
    the intention triggered by environmental cues.
    McDaniel and Einstein argue that the extent to
    which PM retrieval relies on automatic versus
    strategic processing depends on the
    characteristics of the PM task, target cue,
    ongoing task, and the individual.
  • It is assumed that strategic monitoring for the
    PM target cue draws upon resources that could
    otherwise be allocated to performing the ongoing
    task. Therefore, any cost (i.e., decreased
    accuracy or increased response latency) to
    ongoing task performance when accompanied by a
    concurrent PM task would suggest that
    participants are employing a monitoring strategy
    or otherwise devoting resources to maintaining
    the intended goal.
  • Our study explores specific conditions that may
    affect relative use of automatic and strategic
    processing when performing PM tasks. We examined
    the effects of cue specificity and cue frequency
    on both PM and ongoing task performance. These
    variables have already been shown to affect PM
    performance (e.g., Ellis Milne, 1996 Ellis,
    Kvavilashvili, Milne, 1999). However,
    examination of costs to the ongoing task under
    these conditions should allow us to examine
    whether the effects of these manipulations
    reflect a change in strategy by the participants.
  • We also attempted to manipulate the likelihood
    that participants would engage in strategic
    monitoring. Bargh et al. (2001) have provided
    evidence that mental representations of goals can
    become activated outside of conscious awareness,
    and subsequent behavior can be guided by these
    goals. Accordingly, some participants in the
    current study were exposed to concepts related to
    conscientious task performance, and use of
    strategies was evaluated with post-experiment
    debriefings. We predicted that primed
    participants would be more likely to engage in
    strategic monitoring processes to carry out the
    PM task.
  • METHOD
  • Participants
  • 88 university students between ages 18-40
    participated for course credit.
  • Procedure
  • Participants received three blocks of 78 ongoing
    task trials. They saw three words on the
    computer screen, one above the other two. Their
    task was to choose which of the two bottom words
    was most like the top word.
  • Between blocks 1 and 2, participants completed a
    filler task in which they constructed
    grammatically correct sentences out of sets of
    five words presented in a scrambled order (e.g.,
    test his survived chemistry Joe).
  • Independent variables
  • PM target specificity. Between subjects, 3 levels
  • one target lemon, lime, OR raisin
  • three targets lemon, lime, AND raisin (respond
    to ANY of these words)
  • category label fruit (respond to ANY fruit
    name)
  • PM target frequency. Within subjects, 2 levels
    (counterbalanced across blocks 2 and 3)
  • Low frequency 3 targets (every 26 trials/90 s)
  • High frequency 6 targets (every 13 trials/45 s)
    or 9 targets (every 9 trials/30 s)
  • Strategy use. Between subjects, 2 levels
    (determined by post-experiment questionnaire)
  • Strategy reported (e.g., consciously searched for
    PM target)
  • No strategy reported (e.g., let PM target pop
    out)
  • Priming. Between subjects, 2 levels
  • Primed during filler task, half the sentences
    included concepts related to conscientious PM
    performance (respond, examine, keep in mind,
    search, think about, check, remember).
  • Not primed during filler task, all sentences
    contained performance-neutral terms.
  • RESULTS
  • PM Target Frequency
  • Overall, participants PM responses were more
    accurate in the high frequency condition.
  • Performance in the low frequency condition was
    more accurate when preceded by a high frequency
    block.
  • No significant effect of target frequency on RT
    to ongoing task trials was detected.

Priming and Reported Use of Monitoring Strategies
  • PM Target Specificity
  • Introduction of a PM task (in block 2) produced a
    significant cost to ongoing task RT only for
    3-targets and category conditions.
  • No cost to ongoing task RT was detected in block
    3 for any condition, despite continued presence
    of a concurrent PM task.
  • Faster block 3 RTs do not reflect a practice
    effect on the ongoing task alone, because RTs in
    the no PM task condition were equivalent across
    all 3 blocks.

Primed Not primed
Strategy 25 9
No strategy 11 27
  • Priming correlated with reported use of
    monitoring strategies (see table above).
  • Participants who reported using a monitoring
    strategy were more accurate on the PM task.
  • No significant effect of reported strategy use on
    RT to ongoing task trials was detected.
  • CONCLUSIONS
  • Prospective remembering incurred costs to the
    ongoing tasks under some conditions, but not
    others. This finding is consistent with the
    multiprocess framework proposed by McDaniel and
    Einstein (2000).
  • Costs to the ongoing task of performing a
    concurrent PM task may be mitigated by practice
    or experience, or by high PM target specificity.
  • Priming participants through the presentation of
    concepts related to conscientious performance
    correlated with reported use of monitoring
    strategies. Given that the use of monitoring
    strategies seemed to improve PM performance,
    techniques such as this may prove useful in the
    development of countermeasures for PM failures.
  • Note In the figure above, asterisk () indicates
    significant difference from Block 1 RT, p lt .05.
  • Overall PM accuracy increased from block 2 to
    block 3.
  • In general, participants were both faster to
    respond to ongoing task trials and more accurate
    on the PM task in block 3 (i.e., no
    speed-accuracy tradeoff).

REFERENCES Bargh, J. A., Gollwitzer, P. M.,
Lee-Chai, A., Barndollar, K., Troetschel, R.
(2001). The automated will Nonconscious
activation and pursuit of behavioral goals.
Journal of Personality Social Psychology, 81,
1014-1027. Ellis, J., Kvavilashvili, L., Milne,
A. (1999). Experimental tests of prospective
remembering The influence of cue-event frequency
on performance. British Journal of Psychology,
90, 9-23. Ellis, J. Milne, A. (1996). Retrieval
cue specificity and the realization of delayed
intentions. The Quarterly Journal of Experimental
Psychology, 49A, 862-887. McDaniel, M. A.
Einstein, G. O. (2000). Strategic and automatic
processes in prospective memory retrieval A
multiprocess framework. Applied Cognitive
Psychology, 14, S127-S144.
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