Self-Regulation of Action and Affect
Self-Regulation of Action and Affect
Self-Regulation of Action and Affect
13
14 BASIC REGULATORY PROCESSES
I begin this discussion with the goal concept. My use of goals as a starting point resonates
with a renewed interest in goal constructs in todays personality and social psychology
(Austin & Vancouver, 1996; Elliott & Dweck, 1988; Pervin, 1982, 1989; Read & Miller,
1989). Writers have used a variety of labels, reflecting differences in emphasisfor exam-
ple, current concern (Klinger, 1975), personal striving (Emmons, 1986), life task (Cantor
& Kihlstrom, 1987), personal project (Little, 1989), possible self (Markus & Nurius,
1986), and self-guide (Higgins, 1987, 1996). All these constructs contain overall goals
and subgoals, with ample room for individualization; that is, most goals can be reached
in many ways. People choose pathways that are compatible with other aspects of their
situations and their personalities.
Theorists who use these various termsand othershave their own emphases (for
broader discussions, see Austin & Vancouver, 1996; Carver & Scheier, 1998, 1999b;
Pervin, 1989), but they have many points in common. All assume that goals energize and
direct activities (Pervin, 1982). All convey the sense that goals give meaning to peoples
lives, that understanding the person means understanding the persons goals. Indeed, it is
often implicit in such views that the self consists partly of the persons goals and the orga-
nization among them (cf. Mischel & Shoda, 1995).
Feedback Loops
How are goals used in acting? Answers to this question can be framed at several levels of
abstraction. The answer I pursue here is that goals serve as reference values in feedback
loops. The feedback loop is an organized system of four elements (MacKay, 1966; Miller,
Galanter, & Pribram, 1960; Powers, 1973; Wiener, 1948). The elements include an input
function, a reference value, a comparator, and an output function (Figure 2.1).
Goal,
Standard,
Reference value
Comparator
Effect on
environment
Disturbance
FIGURE 2.1. Schematic depiction of a feedback loop, the basic unit of cybernetic control. In a dis-
crepancy-reducing loop, a sensed value is compared to a reference value or standard, and adjust-
ments occur in an output function (if necessary) that shift the sensed value in the direction of the
standard. In a discrepancy-enlarging loop, the output function moves the sensed value away from
the standard.
Action and Affect 15
taking a months vacation in Europe, the goal of writing a book chapter). In such cases,
the goal changes character as the person traverses the path of activity. Thus, feedback
processes apply perfectly well to moving targets (Beer, 1995).
Goals also vary in abstractness. You can have not only the goal of being a caring per-
son, but also the goal of parking your car straight (which entails the even more concrete
goal of turning the steering wheel with just the right pressure). Thus, it is often said that
goals form a hierarchy (Carver & Scheier, 1998; Powers, 1973; Vallacher & Wegner,
1987). Abstract goals are attained by attaining the concrete goals that help to define
them. This issue is very important in some contexts (see, e.g., Carver & Scheier, 1998,
1999a, 1999b, 2003), but not to the themes of this chapter.
Thus far I have considered behaviorthe process of getting from here to there. There is
much more to the human experience than action. Another important part of experience is
feelings (indeed, feelings turn out to be an important element in action). Two fundamen-
tal questions about affect are what it consists of and where it comes from. It is widely
held that affect pertains to ones desires and whether they are being met (e.g., Clore,
1994; Frijda, 1986, 1988; Ortony, Clore, & Collins, 1988). But what exactly is the inter-
nal mechanism by which feelings arise?
Answers to these questions can take any of several forms, ranging from
neurobiological (e.g., Davidson, 1984, 1992, 1995) to cognitive (Ortony et al., 1988) and
beyond. The answer we posed (Carver & Scheier, 1990, 1998, 1999a, 1999b) focuses on
some of the functional properties that affect seems to display in the behaving person.
Again we use feedback control as an organizing principle. But now the feedback control
bears on a different quality than it did earlier.
We have suggested that feelings arise as a consequence of a feedback process that op-
erates automatically, simultaneously with the behavior-guiding process, and in parallel to
it. Perhaps the easiest way to convey what this second process is doing is to say that it is
checking on how well the first process (the behavior loop) is doing at reducing its discrep-
Action and Affect 17
ancies. Thus, the input for this second loop is some representation of the rate of discrep-
ancy reduction in the action system over time. (I limit myself at first to discrepancy-reduc-
ing loops, then turn to enlarging loops.)
An analogy may be useful. Action implies change between states. Thus, consider be-
havior as being analogous to distance. If the action loop controls distance, and if the af-
fect loop assesses the progress of the action loop, then the affect loop is dealing with the
psychological analogue of velocity, the first derivative of distance over time. To the extent
that this analogy is meaningful, the perceptual input to the affect loop should be the first
derivative over time of the input used by the action loop.
Input by itself does not create affect (a given rate of progress has different affective
effects in different circumstances). I believe that, as in any feedback system, this input is
compared to a reference value (cf. Frijda, 1986, 1988). In this case, the reference is an ac-
ceptable or desired rate of behavioral discrepancy reduction. As in other feedback loops,
the comparison checks for deviation from the standard. If there is one, the output
function changes.
Our position is that the error signal from the comparison in this loop is manifest
phenomenologically as affect, a sense of positive or negative valence. If the rate of prog-
ress is below the criterion, negative affect arises. If the rate is high enough to exceed the
criterion, positive affect arises. If the rate is not distinguishable from the criterion, no
affect arises.
In essence, the argument is that feelings with a positive valence mean you are doing
better at something than you need to, and feelings with a negative valence mean you are
doing worse than you need to (for more detail, including a review of evidence on the link
between this velocity function and affect, see Carver & Scheier, 1998, Chs. 8 and 9).
One fairly direct implication of this line of thought is that the affective valences that
might potentially arise regarding any given action domain should fall along a bipolar
dimension. That is, for a given action, affect can be positive, neutral, or negative, depend-
ing on how well or poorly the action is going.
Approach Avoidance
process process
Doing Elation, Doing Relief,
well + eagerness well + calmness
(neutral) (neutral)
FIGURE 2.2. Two behavioral systems and poles of the affective dimensions held by Carver and
Scheier (1998) to relate to the functioning of each. In this view, approach processes yield affective
qualities of sadness or depression when progress is very poor; they yield qualities such as eagerness,
happiness, or elation when progress is very high. Avoidance processes yield anxiety or fear when
progress is very poor; they yield relief, calmness, or contentment when progress is very high. From
Carver and Scheier (1998), On the self-regulation of behavior. Copyright 1998 by Cambridge
University Press. Adapted by permission.
mension related to approach ranges (in its purest form) from affects such as elation,
eagerness, and excitement to sadness and dejection. The dimension related to avoidance
ranges (in its purest form) from fear and anxiety to relief, serenity, and contentment.
events. A person whose reactions are between the two extremes responds quickly but
without undue overreaction and oscillation.
For biological entities, being able to respond quickly yet accurately confers a clear
adaptive advantage. We believe this combination of quick and stable responding is a con-
sequence of having both behavior-managing and affect-managing control systems. Affect
causes peoples responses to be quicker (because this control system is time-sensitive) and,
provided that the affective system is not overresponsive, the responses are also stable.
The theoretical elements outlined up to this point have an internal conceptual coherence.
However, there are also ways in which this model differs from other theories. At least two
of the differences appear to have interesting and important implications.
One difference concerns the dimensional structure of affect (Carver, 2001). A number
of theories, including ours, conceptualize affects as aligned along dimensions (though it
should also be noted that not all theorists make this assumption; cf. Izard, 1977; Levenson,
1994, 1999). As just described, our dimensional view holds that affect relating to approach
and affect relating to avoidance both have the potential to be either positive or negative.
Most dimensional models of affect, however, assume a different arrangement.
The idea that eagerness, excitement, elation, and so on should relate to an approach
process is intuitive. It is also intuitive that fear, anxiety, and so on should relate to an
avoidance process. Both of these relations are noted commonly (Cacioppo, Gardner, &
Bernston, 1999; Watson, Weise, Vaidya, & Tellegen, 1999). Both are also represented in a
variety of neurobiological theories bearing on affect (e.g., Cloninger, 1988; Davidson,
1992, 1998; Depue & Collins, 1999; Gray, 1990, 1994a, 1994b).
But attention must also be given to the opposite poles of these two dimensions. Here
is where the consensus breaks down. For example, Gray (e.g., 1990, 1994b) has taken the
position that the inhibition (or avoidance) system is engaged by cues of both punishment
and frustrative nonreward. It is thus tied to negative feelings in response to either sort of
cue. Similarly, he holds that the approach system is engaged both by cues of reward and
by cues of escape or avoidance of punishment. It thus is tied to positive feelings in
response to such cues.
In Grays view, then, each system is responsible for the creation of affect of one, and
only one, hedonic tone (positive in one case, negative in the other). This theory yields a
picture of two unipolar affective dimensions (running neutral to negative, and neutral to
positive), each of which is linked to the functioning of a separate behavioral system. A
similar position has been taken by Lang and colleagues (e.g., Lang, 1995; Lang, Bradley,
& Cuthbert, 1990), by Cacioppo and colleagues (e.g., Cacioppo & Berntson, 1994;
Cacioppo et al., 1999), and by Watson and colleagues (1999). In this respect, this version
of a dimensional view (which now dominates discussions of dimensional models of
affect) is quite different from our view.
has been linked to activation of the left prefrontal cortex (e.g., Davidson, 1992). On the
other hand, an important qualification on this finding is that it pertains to trait rather
than state anger. More recently, Harmon-Jones and Sigelman (2001) induced a state of
anger in some persons but not others, then examined cortical activity. Consistent with the
findings described thus far, they found elevations in relative left frontal activity, suggest-
ing that anger relates to greater engagement of the approach system.
One more source of evidence on anger is research in which participants indicated the
feelings they experienced in response to hypothetical events (Study 2) and after the de-
struction of the World Trade Center (Study 3; Carver, in press). Participants had been
preassessed on a self-report measure of the sensitivity of their approach and avoidance
systems (Carver & White, 1994). Reports of anger related significantly to premeasured
sensitivity of the approach system, whereas reports of anxiety related to sensitivity of the
avoidance system.
In summary, there are good reasons to believe that certain kinds of negative affect re-
late to an approach system. There is also some reason to suspect that certain kinds of
positive affect relate to an avoidance system.
I have devoted a good deal of space to this issue. Why does it matter so much? It
matters because it appears to have major implications for the search for a conceptual
mechanism underlying affect. Theories that argue for two unipolar dimensions appear to
assume that greater activation of a system translates directly to more affect of that va-
lence (or greater potential for affect of that valence). If the approach system instead re-
lates to both positive and negative feelings, this direct transformation of system activa-
tion to affect is not tenable. How, then, can theories assuming such a transformation
account for the negative affects?
A conceptual mechanism would be needed that naturally addresses both positive and
negative feelings within the approach function (and, separately, the avoidance function).
One such principle is the one described here (Carver & Scheier, 1990, 1998). There may
be others, but this one has advantages. For example, its mechanism fits nicely with the
fact that feelings occur continuously throughout the attempt to reach an incentive, not
just at the point of its attainment. Indeed, feelings rise, wane, and change valence as prog-
ress varies from time to time along the way forward.
COUNTERINTUITIVE IMPLICATIONS
Another potentially important issue also differentiates this model from most other view-
points on the meaning and consequences of affect. Recall that this theory sees affect as re-
flecting the error signal from a comparison process in a feedback loop. This idea has
some very counterintuitive implicationsin particular, implications concerning positive
affect (Carver, 2003b).
If affect reflects the error signal in a feedback loop, affect is therefore a signal to ad-
just rate of progress. This would be true whether the rate is above the mark or below it,
that is, whether affect is positive or negative. For negative feelings, this is not at all con-
troversial. This line of thought is completely intuitive. The first response to negative feel-
ings is to try harder. (For now, I disregard the possibility of giving up effort and quitting
the goal, though that possibility clearly is important; I return to it later.) If the person tries
harder, and assuming that more effort (or better effort) increases the rate of intended
movement, the negative affect diminishes or ceases.
For positive feelings, however, the implications of this line of argument are very
counterintuitive. In this model, positive feelings arise when things are going better than
22 BASIC REGULATORY PROCESSES
necessary. But the feelings still reflect a discrepancy (albeit a positive one), and the func-
tion of a negative feedback loop is to minimize discrepancies. Thus, the system wants
to see neither negative nor positive affect. Either quality (deviation from the standard in
either direction) would represent an error and lead to changes in output that would
eventually reduce the error.
This view argues that people who exceed the criterion rate of progress (i.e., who
have positive feelings) will reduce subsequent effort in this domain. They are likely to
coast a little (cf. Frijda, 1994, p. 113)not necessarily stop, but ease back, such that
subsequent rate of progress returns to the criterion. The impact on subjective affect
would be that the positive feeling is not sustained for very long. It begins to fade. The fad-
ing may be particularly rapid if the person does turn from this activity to another domain
of behavior (Erber & Tesser, 1992).
Let me be clear that expending greater effort to catch up when behind, and coasting
when ahead, are both presumed to be specific to the goal domain to which the affect is at-
tached. Usually (though not always), this is the goal that underlies the generation of the
affect in the first place (for exceptions, see Schwarz & Clore, 1983). I am not arguing that
positive affect creates a tendency to coast in general, but rather that it creates a tendency
to coast with respect to this activity.
There is an analogy that fits this theory nicely. This is a kind of cruise control
model of the origins and consequences of affect. That is, the system just described oper-
ates much the same as a cars cruise control. If your behavior is progressing too slowly,
negative affect arises. You respond by increasing effort, trying to speed up. If you are go-
ing faster than needed, positive affect arises, and you coast. A cars cruise control is very
similar. Coming to a hill slows you down; the cruise control responds by feeding the en-
gine more gas, and you speed back up. If you cross the crest of a hill and roll downward
too fast, the system cuts back the gas, dragging the speed back down.
The analogy is intriguing partly because both parts have an asymmetry in the conse-
quences of deviation from the reference point. That is, both in a car and in behavior, ad-
dressing the problem of going too slow requires adding effort and resources. Addressing
the problem of going too fast does not. Indeed, quite the opposite. It requires only reduc-
ing resources. The cruise control does not apply the brakes, it just cuts back the fuel. The
car coasts back to the velocity set point. Thus, the effect of the cruise control on a high
rate of speed depends in part on external circumstances. If the hill is steep, the car may
exceed the cruise controls set point all the way to the valley below.
In the same fashion, people usually do not react to positive affect by actively trying
to make themselves feel less good (though there are exceptionsMartin & Davies, 1998;
Parrott, 1993). They simply pull back temporarily on the resources devoted to the do-
main in which the affect has arisen. The positive feelings may be sustained for a long time
(depending on circumstances) as the person coasts down the subjective analogue of the
hill. Eventually, though, the reducing of resources would cause the positive affect to di-
minish. Generally, then, the system would act to prevent great amounts of pleasure as
well as a great amount of pain (Carver, 2003b; Carver & Scheier, 1998).
Coasting
The idea that positive affect leads to coasting, which would eventually result in reduction
of the positive affect, strikes some people as being unlikely at best. Many believe that
pleasure is instead a sign to continue what one is doing or even to immerse oneself in it
more deeply (cf. Fredrickson, 2001; Messinger, 2002). On the other hand, the latter view
Action and Affect 23
More recently, Izard and Ackerman (2000) wrote, Periodic joy provides respite from the
activity driven by intense interest (p. 258, emphasis added).
Does positive affect lead to coasting? I know of no data that address the question un-
ambiguously (though suggestive evidence was reported by Mizruchi, 1991). To do so, a
study must assess coasting with respect to the same goal as that underlying the affect.
Many studies have been done in which positive affect is created in one context and its in-
fluence is assessed on another task (e.g., Isen, 1987, 2000; Schwarz & Bohner, 1996).
Those who conduct such studies typically work hard to make the two contexts appear
unrelated. Thus, this question seems to remain relatively open.
A pattern in which positive feelings lead to easing back and to an openness to shift-
ing focus, would minimize such adverse effects. It is important to note that this view does
not require that people with positive feelings shift goals. It simply holds that openness to
a shift in goals is a potential consequenceand a potential benefitof the coasting ten-
dency. This line of thought would, however, begin to account for why people do eventu-
ally turn away from what are clearly pleasurable activities.
A provocative finding in this regard is that smiling infants engaging in face-to-face
interactions with their mothers periodically avert their gazes from their mothers, then
stop smiling. Infants are more likely to do this (and to avert their gaze longer) when they
are smiling intensely than when the smiles are less intense (Stifter & Moyer, 1991). This
pattern hints that the experience of happiness creates in the infant an openness to shifting
focus, or at least a tendency to coast with respect to the interaction with the mother, let-
ting the affect diminish before returning to the interaction.
PRIORITY MANAGEMENT
AS A CORE ISSUE IN SELF-REGULATION
The line of argument just outlined begins to implicate positive feelings in a broad func-
tion within the organism that deserves much further consideration. This function is the
shifting from one goal to another as focal in behavior (cf. Shallice, 1978). This basic and
very important function is often overlooked. Humans usually pursue many goals simulta-
neously (cf. Atkinson & Birch, 1970; Murray, 1938), and only one can have top priority
at a given moment. Yet from one time to the next, there clearly are changes in which goal
has the top priority.
The problem of priority management among multiple goals was addressed many
years ago in a creative and influential article by Herb Simon (1967). He pointed out that
any entity that has many goals needs a way to rank them for pursuit, and a mechanism to
change the rankings as necessary. Most of the goals we are pursuing are largely outside
awareness at any given moment. Only the one with the highest priority has full access to
consciousness. Sometimes events that occur during the pursuit of that top-priority goal
create problems for another goal that now has a lower priority. Indeed, the mere passing
of time can sometimes create a problem for the second goal, because the passing of time
may make its attainment less likely. If the second goal is important, an emerging problem
for its attainment needs to be registered and somehow taken into account. If the situation
evolves enough to seriously threaten the second goal, some mechanism is needed for
changing priorities, so that the second goal replaces the first one as focal.
Simons analysis is applied easily to negative feelings such as anxiety. If you are fol-
lowing driving instructions that take you into a dangerous part of town, the focal goal is
getting to your destination. Anxiety that arises concerns a second issuea threat to your
safety. If you promised your spouse you would go to the post office this afternoon and
you have been too busy to go, the creeping of the clock toward closing time can cause an
increase in anxiety. The anxiety is not about the work youve been occupied with, but
about the second issue: an angry spouse. Anxiety arises when a threat is coming closer,
whether the threat comes from an ongoing action (e.g., entering a bad area of town) or
arises through the passage of time. The greater the threat, the stronger the anxiety. The
stronger the anxiety, the more likely it is that the anti-goal from which it stems will rise in
priority, until it comes fully to awareness and itself becomes the focal reference point for
behavior.
ity of the now-focal goal does not render it lower than the priorities of the alternatives.
Thus, positive feeling does not require that there be a change in direction. It simply sets
the stage for such a change to be more likely.
Given the nature of this line of reasoning, it seems likely that when the priority of the
focal activity drops, there ensues a scanning for potential next actions (cf. Vallacher &
Kaufman, 1996). Such scanning would use internal information about goals waiting in
line and also information from the environment. Unless the latter took place, there would
be no chance to recognize and act on unexpected opportunities.
These studies all represent cases in which people confronted a personally relevant sit-
uation in need of repair. Other researchers have created situations in which someone else
needed help. A substantial body of research shows that people in good moods are more
willing to help another than are those in less-good moods (Isen, 1987, 2000). I interpret
this as reflecting a tendency to fix a salient problem (for more detail, see Carver 2003b).
Opportunistic Shifting
On the other hand, the idea that positive feelings act as psychological resources need not
be limited to cases in which resources permit people to turn to problems. For example, se-
cure infant attachment is widely seen as a resource that promotes exploration (Bowlby,
1988). Such a view also seems implicit in Fredricksons (1998) position that positive
feelings promote play.
The idea that positive affect serves as a resource for exploration resembles in some
ways the idea that positive feelings open people to noticing and taking advantage of
emergent opportunities, to being distracted into enticing alternativesto opportunistic
behavior. Some evidence is consistent with this idea. Kahn and Isen (1993) reported stud-
ies in which people had opportunities to try out choices within a food category. Those in
whom positive affect had been induced switched among choice alternatives more than
did controls. Isen (2000, p. 423) interpreted this as indicating that positive affect pro-
motes enjoyment of variety and a wide range of possibilities, which seems almost a
description of opportunistic foraging.
Another source of evidence worth brief mention, although there are also reasons to
view it with caution, is the behavior of persons in manic or hypomanic states. Mania is
characterized by positive feelings, and also by a high degree of distractibility (American
Psychiatric Association, 1994). This pattern is consistent with the idea that the positive
feelings render these persons especially susceptible to cues indicating opportunities for
gain that lie outside the framework of their current goal pursuit.
28 BASIC REGULATORY PROCESSES
One more aspect of priority management that should be addressed here concerns the idea
that in some circumstances, goals are not attainable and are better abandoned. We have
long argued that sufficient doubt about goal attainment results in an impetus to disen-
gage from efforts to reach the goal, and even to disengage from the goal itself (Carver &
Scheier, 1981, 1998, 1999a, 1999b). This is certainly a kind of priority adjustment, in
that the abandoned goal now has a lower priority than it had before. How does this sort
of reprioritization fit into the picture sketched in the preceding sections?
At first glance, the idea that doubt about goal attainment (and the negative feelings
associated with that doubt) causes reduction in effort seems to contradict Simons (1967)
position that negative affect is a call for higher priority. I believe, however, that there is an
important distinction between two kinds of negative affective experiences associated with
approach (Carver, in press). (A parallel line of reasoning can be applied to avoidance, but
I limit myself here to approach.) One set of negative affects related to approach coalesce
around frustration and anger. The other set coalesces around sadness, depression, and
dejection.
In presenting the Carver and Scheier (1998, 1999b) view on affect earlier (Figure
2.2), I described the approach-related affective dimension as ranging from elation to de-
pression. That depiction accounts for feelings of sadness, but it ignores frustration and
anger. In reality, however, although Figure 2.2 conveys the sense that approach-related af-
fect can be either positive or negative (or absent), it has only a rough fit to the conceptual
model on which it was based.
Theory holds that falling behindprogress below the criterioncreates negative af-
fect, as the incentive seems to be slipping away. Inadequate movement forward (or no
movement, or reverse movement) gives rise to feelings such as frustration, irritation, and
anger. The lagging of progress (or the affect thereby created) prompts enhanced exertion,
in an effort to catch up. Thus, the function of these feelings (or of the mechanism that un-
derlies them) is to engage effort more completely, to overcome obstacles and reverse the
inadequacy of current progress. If the situation is one in which more effort (or better ef-
fort) can improve progress, such effort allows the person to move toward the incentive at
an adequate rate, and attaining the incentive seems likely. This case fits the priority
management model of Simon (1967).
Sometimes, however, continued efforts do not produce adequate movement forward.
Indeed, if the situation involves loss, movement forward is precluded, because the incen-
tive is gone. In a situation in which failure seems (or is) assured, the negative affect has a
different tone. Here the feelings are sadness, depression, despondency, dejection, grief,
and hopelessness (cf. Finlay-Jones & Brown, 1981). Accompanying behaviors also differ
in this case. The person tends to disengage fromgive up onfurther effort toward the
incentive (Klinger, 1975; Wortman & Brehm, 1975; for supporting evidence, see Lewis,
Sullivan, Ramsay, & Allessandri, 1992; Mikulincer, 1988).
I know of two published studies that obtained patterns of emotions consistent with
this portrayal (Mikulincer, 1994; Pittman & Pittman, 1980). In each, participants re-
ceived varying amounts of failure, and their emotional responses were assessed. In both
cases, reports of anger were most intense after small amounts of failure, and lower after
larger amounts of failure. Reports of depression were low after small amounts of failure,
and intense after larger amounts of failure.
As just described, approach-related negative feelings in these two kinds of situations
are presumed to link to two very different effects on ongoing action. Both have adaptive
Action and Affect 29
properties. In the first situationwhen the person falls behind but the goal is not seen as
lostfeelings of frustration and anger accompany an increase in effort, a struggle to gain
the incentive despite setbacks. Consistent with this view, Frijda (1986, p. 429) has argued
that anger implies having the hope that things can be set right (see also Harmon-Jones &
Allen, 1998). This struggle is adaptive (thus, the affect is adaptive) because the struggle
fosters goal attainment.
In the second situationwhen effort appears futilenegative feelings of sadness and
depression accompany reduction of effort. Sadness and despondency imply that things
cannot be set right, that further effort is pointless. Reduction of effort in this circum-
stance can also have adaptive functions (Carver & Scheier, 2003; Wrosch, Scheier,
Carver, & Schulz, 2003; Wrosch, Scheier, Miller, Schulz, & Carver, in press). It serves to
conserve energy rather than to waste it in futile pursuit of the unattainable (Nesse, 2000).
If reducing effort also helps to diminish commitment to the goal (Klinger, 1975), it even-
tually readies the person to take up pursuit of another incentive in place of this one. That
is, it is hard to turn to a new goal until one disengages from the unattainable goal and is
no longer preoccupied by it.
The variations in effort described in the preceding paragraphs are portrayed in Fig-
ure 2.3, which elaborates on the left panel of Figure 2.2 (and is an adaptation of a figure
from Carver, in press). The left side of Figure 2.3 portrays the hypothesized reduction in
effort when velocity exceeds the criterion, discussed earlier. The right side portrays both
the strong engagement implied by frustration and anger, and the disengagement of
sadness and dejection.
I want to make two additional points about the portion of Figure 2.3 to the right of
the criterion rate. First, this part of Figure 2.3 has much in common with several other
depictions of variations in effort when difficulty in moving toward a goal gives way to
loss of the goal (for details, see Carver & Scheier, 1998, Ch. 11). Perhaps best known is
Wortman and Brehms (1975) integration of reactance and helplessness. They described a
region of threat to control, in which there is enhanced effort to regain control, and a re-
gion of loss of control, in which efforts diminish. Indeed, the figure they used to illustrate
those regions greatly resembles the right side of Figure 2.3.
Frustrated
Extent of
engagement
or effort
Criterion
FIGURE 2.3. Approach-related affects as a function of doing well versus doing poorly compared to
a criterion velocity, building on the left panel of Figure 2.2, which has been rotated 90 at the left.
Additional affects are named here, and a second (vertical) dimension indicates the degree of behav-
ioral engagement posited to be associated with affects at different degrees of departure from neu-
tral. From Carver (in press). Copyright by the American Psychological Association. Adapted by
permission.
30 BASIC REGULATORY PROCESSES
Second, the right side of Figure 2.3 is drawn with a rather abrupt shift from frustra-
tion to sadness. The degree of abruptness of the transition in this figure is arbitrary. I be-
lieve there are cases in which the transition is abrupt, and also cases in which it is not.
The two sets of cases may be distinguished by their relative importance. Importance is a
variable that I have ignored in this discussion, but it is one that obviously must play a
very large role in the intensity of affective experience. Although there is not space here to
address this issue adequately, discussions of it can be found elsewhere (Carver & Scheier,
1998, 1999a, 1999b).
This aspect of Figure 2.3 illustrates how these ideas can be linked to another set of
ideas that are increasingly influencing thought in psychology: the concepts of dynamic
systems theory (Vallacher, Read, & Nowak, 2002). The transition from engagement to
disengagement can be seen as a gradual movement along a dimension, but it can also be
seen as a qualitative shift, even the bifurcation of a cusp catastrophe (Carver & Scheier,
1998, Chs. 1416). In theory, situations that create aggravation versus despondency
move subsequent behavior in divergent directions: further efforts versus giving up. The
idea that behavior under adversity bifurcates into the two classes of effort versus giving
up has been an aspect of our conceptual model for decades (Carver & Scheier, 1981).
I would like to mention briefly two more issues that remove us from the main points of
this chapter, but also bear on the viability of these ideas. Both suggest ways in which these
ideas must incorporate additional flexibility.
Muraven, Tice, and Baumeister (1998; Muraven & Baumeister, 2000) extended this
line of thought to argue that self-control involves a resource that is limited and can be-
come depleted by extended self-control efforts (see also Schmeichel & Baumeister, Chap-
ter 5, and Vohs & Ciarocco, Chapter 20, this volume). When the resource is depleted, the
person becomes vulnerable to a failure of self-control. This view suggests further that the
pool of self-control resources is shared, so that exhausting resources with one kind of
self-control (e.g., concentrating hard for many hours on a writing assignment) can leave
the person vulnerable to a lapse in a different domain (e.g., eating restraint). This model
of competition for limited energy, which evokes the competition between id and ego, is a
reminder that behavioral self-regulation occurs in a living biological body that has its
own constraints (e.g., energy depletion through exertion).
Much of the recent literature on this issue focuses on situations in which the person
is restraining a self-destructive or socially destructive impulse. As noted earlier, the practi-
cal implications of such cases make them particularly salient. Yet the structure of these
conflicts does not seem inherently different from the structures of other conflicts. The de-
sire to eat without restraint conflicts with the desire to control ones weight. The desire to
lash out in anger at ones boss conflicts with the desire to keep ones job. In each case,
pursuing one desire creates problems for the other one.
There does appear to be one peculiarity in the case of impulse restraint that makes it
at least somewhat different from other cases, and this peculiarity may be important in its
own right. What I have described as an impulse under restraint is often literally impul-
sive. That is, it is not planful, thought out, or premeditated. The act of restraint, in con-
trast, typically is an effort to attain or maintain a somewhat more abstract or long-term
goal, which usually is more premeditated and planful. A number of theorists in personal-
itysocial psychology and elsewhere have asked how impulsive and planful actions differ.
Some theorists have argued that there are two distinct systems of self-regulation, with
two sorts of operating characteristics (cf. Chaiken & Trope, 1999; Epstein, 1985, 1994;
Lieberman, Gaunt, Gilbert, & Trope, 2002; Metcalfe & Mischel, 1999; Shastri &
Ajjanagadde, 1993; Sloman, 1996; Smith & DeCoster, 2000).
This is an interesting idea that has many implications. For example, it helps to make
sense of the finding that a loss of self-awareness (via deindividuation or alcohol ingestion)
causes behavior to become more impulsive and responsive to cues of the moment (e.g.,
Diener, 1979; Hull, 1981; Prentice-Dunn & Rogers, 1989; Steele & Josephs, 1990; see
also Hull & Slone, Chapter 24, this volume). In this pattern, it seems as though an
effortful, planful system is functioning less, leaving in charge an impulsive system with
only short-term goals. Indeed, some kinds of impulsive behavior cause further reduction
in self-awareness, thereby exacerbating the impulsive and unrestrained character of the
behavior (Baumeister & Heatherton, 1996; Heatherton & Baumeister, 1991; see also
Carver & Scheier, 1998, Ch. 13). This line of thought undoubtedly will receive much
further consideration.
poses, I wish only to raise some of the central premises of dynamic-systems thinking and
to consider their implications for feedback models.
Dynamic systems models allow for stability (regions of behavioral space termed at-
tractors), but their hallmark is that they describe how systems change over time (e.g.,
shifts from one attractor basin to another). One way to link the concepts of dynamic sys-
tems to the ideas discussed here is to think of goals as attractors, and the reprioritization
of goals that people undergo as representing shifts from one attractor basin to another
(Carver & Scheier, 2002).
The dynamic-systems view of behavior and the control-process view of behavior are
in many ways complementary. However, there are different emphases in the ways the
models have been applied to psychological phenomena. In describing the feedback-based
view earlier, I implied that when a goal is adopted, the process of moving toward it is
guided by a representation of the goal, and managed and controlled by some sort of
executive or intentional process.
In contrast, the dynamic-systems model does not rely on assumptions about top
down guidance, or even structure. Rather, attractors are said to arise from the intrinsic
dynamics of the system as it operates in its world over an extended period of time. Com-
plex systems are said to have a self-organizing character (Kelso, 1995; Prigogene &
Stengers, 1984). The various forces interweave in ways that are not determined by any
one of them alone, but rather by their mutual influences on each other. Patterns emerge
spontaneously.
The principle of self-organization has some fairly obvious applications to human be-
havior (Carver & Scheier, 2002). Peoples perceptions appear to coalesce in Gestalt pat-
terns from the bits and pieces that underlie them (Read, Vanman, & Miller, 1997). Peo-
ples actions are sometimes shunted to an unintended path because of slight variations in
the circumstances they encounter. People occasionally discover what they are doing as
they find themselves doing it. Far more than we might think, our actions are influenced
by incidental stimulus qualities that we happen to encounter along the way (Bargh,
1997).
How can such different emphases be reconciled? One possibility returns us to the
idea of there being two different systems with somewhat different operating characteris-
tics (Carver & Scheier, 1998, 2002). There is good reason to believe that self-organizing,
emergent rhythms and cycles in behavior exert influences that have not been well appreci-
ated. There is reason to suspect that people drift or stumble into patterns of action (or
thought) they have not experienced before. Yet it also seems reasonable to suggest that as
emergent patterns stabilize over repeated occurrences, the patterns are coded into mem-
ory in a form that permits them to be invoked for re-creation by an intentional process.
To put it differently, a bottomup process of self-organized pattern development may
consolidate in a way that leaves an entry point for topdown control.
Does such consolidation occur? Clearly, something like this happens in skill learning.
Something changes, as behaviorseven self-organized coordinationsare repeated over
and over. Indeed, there is evidence that different parts of the brain are involved to differ-
ent degrees when a behavior is relatively new versus being well practiced (Gazzaniga,
Ivry, & Mangun, 1998). Two modes of creating behavior may be at work, one operating
bottomup, the other topdown. Executive use of compiled capabilities cannot happen
without a solid record of what the capabilities are; one way for such a record to exist
would be through an earlier emergence and consolidation of lower order, self-organized
coordinations.
Action and Affect 33
CONCLUDING COMMENTS
The ideas just outlined are more than just a little speculative, and they raise many ques-
tions. Indeed, many questions about human behavior have been ignored altogether here.
For instance, what about will? What about self-determination? Even the topdown
effortful processes outlined earlier were described in ways that seem rather automatic, de-
void of self-determination. These questions, though important, remain untouched in this
chapter. They are discussed in depth in other places (e.g., Bargh, 1997; Deci & Ryan,
2000; Ryan & Deci, 2001; Wegner, 2002). As I said at the chapters outset, however, the
ideas outlined here cover only parts of the puzzle. Creating models of self-regulation, as is
true of all of psychology, remains a work in progress.
ACKNOWLEDGMENT
Preparation of this chapter was facilitated by Grant Nos. CA64710, CA78995, and CA84944 from
the National Cancer Institute.
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