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Abstract

The classic goal-gradient hypothesis posits that motivation to reach a goal increases monotonically with proximity to the desired end state. However, we argue that this is not always the case. In this article, we show that motivation to engage in goal-consistent behavior can be higher when people are either far from or close to the end state and lower when they are about halfway to the end state. We propose a psychophysical explanation for this tendency to get "stuck in the middle." Building on the assumption that motivation is influenced by the perceived marginal value of progress toward the goal, we show that the shape of the goal gradient varies depending on whether an individual monitors progress in terms of distance from the initial state or from the desired end state. Our psychophysical model of goal pursuit predicts a previously undiscovered nonmonotonic gradient, as well as two monotonic gradients.
Psychological Science
22(5) 607 –612
© The Author(s) 2011
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DOI: 10.1177/0956797611404899
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Achieving a goal often requires engaging in goal-consistent
behavior for an extended period. For instance, losing weight
requires sticking to a diet and resisting temptations over many
months. The classic goal-gradient hypothesis (Hull, 1932,
1934) posits that motivation to reach a goal increases mono-
tonically with proximity to the desired end state. Similarly,
Lewin (1935, 1951) suggested that effort increases as people
near their goals. Spatial and temporal goal gradients have been
observed in animals (Brown, 1939, 1948; Miller, 1944, 1959;
Rigby, 1954) and in humans (Förster, Higgins, & Idson, 1998;
Kivetz, Urminsky, & Zheng, 2006; Losco & Epstein, 1977;
Nunes & Drèze, 2006; Smith, 1965; Wipf, 1964).
However, we suggest that motivation is not always
monotonically related to distance from the desired end state
(cf. Louro, Pieters, & Zeelenberg, 2007). In particular, we
hypothesize that motivation can decrease about halfway to the
end state. We propose a psychophysical model of goal pursuit
that accounts not only for this tendency to get “stuck in the
middle,” but also for the classic goal gradient. The psycho-
physics of goal pursuit is based on three elements: (a) motiva-
tion as a function of perceived marginal value of progress,
(b) adoption of a reference point to monitor progress, and
(c) diminishing sensitivity.
Heath, Larrick, and Wu (1999) showed that motivation to
engage in a certain behavior is influenced by the perceived
marginal value of progress produced by such behavior.
Consider a student with a 500-page reading assignment. At
any one time, the perceived marginal value of reading the next
page may substantially influence motivation to keep reading.
The perceived marginal value of progress is influenced by the
reference point adopted to monitor progress. In general, peo-
ple monitor progress in terms of distance from a standard of
reference (Carver & Scheier, 1998). Specifically, they can use
either their initial state as the standard of reference to monitor
progress and to consider what they have achieved so far (i.e.,
to-date frame), or they can use the desired end state and con-
sider what they still need to achieve (i.e., to-go frame; Koo &
Fishbach, 2008). Thus, to monitor progress, the student could
count either the number of pages read thus far or the number
of pages remaining.
Building on the psychophysical power law (Stevens, 1975)
and the principle of diminishing sensitivity (Kahneman &
Tversky, 1979; Tversky & Kahneman, 1991), we suggest that
the perceived value of a given unit of progress changes as a
function of distance from the standard of reference. When a
person uses the desired end state as the reference point for
monitoring progress, the perceived marginal value of progress
Corresponding Author:
Andrea Bonezzi, Kellogg School of Management, Department of Marketing,
Northwestern University, 2001 Sheridan Rd., Evanston, IL 60208
E-mail: a-bonezzi@kellogg.northwestern.edu
Stuck in the Middle: The Psychophysics of
Goal Pursuit
Andrea Bonezzi1, C. Miguel Brendl1, and Matteo De Angelis2
1Department of Marketing, Kellogg School of Management, Northwestern University, and
2Department of Economics and Business, Luiss Guido Carli University
Abstract
The classic goal-gradient hypothesis posits that motivation to reach a goal increases monotonically with proximity to the
desired end state. However, we argue that this is not always the case. In this article, we show that motivation to engage in
goal-consistent behavior can be higher when people are either far from or close to the end state and lower when they are
about halfway to the end state. We propose a psychophysical explanation for this tendency to get “stuck in the middle.”
Building on the assumption that motivation is influenced by the perceived marginal value of progress toward the goal, we show
that the shape of the goal gradient varies depending on whether an individual monitors progress in terms of distance from
the initial state or from the desired end state. Our psychophysical model of goal pursuit predicts a previously undiscovered
nonmonotonic gradient, as well as two monotonic gradients.
Keywords
motivation, goal gradient, self-regulation, monitoring progress
Received 6/14/10; Revision accepted 1/21/11
Research Report
608 Bonezzi et al.
increases: Reading one more page is perceived as yielding
more progress when 50 pages remain (1:50) than when 200
pages remain (1:200). Hence, motivation increases as distance
from the end state decreases (Fig. 1a). In contrast, when a per-
son uses the initial state as the reference point for monitoring
progress, the perceived marginal value of progress decreases:
Reading one more page is perceived as yielding less progress
after having read 200 pages (1:200) than after having read 50
pages (1:50). Hence, motivation decreases as distance from
the initial state increases (Fig. 1b). Overall, the motivation
functions shown in Figure 1 are marginal benefit curves of
moving toward (to-go frame) and moving away from (to-date
frame) a reference point, obtained as the first derivatives of
their respective value functions (Heath et al., 1999).
We suggest that people tend to adopt their initial state as the
reference point at the beginning of goal pursuit and the desired
end state as their reference point when nearing the goal. Simi-
lar attentional shifts have been observed in other domains
To-Go Frame
a
bTo-Date Frame
Perceived Value
of Progress
Motivation
Motivation
Perceived Value
of Progress
V2
V2
V1
V1
D2
D2
D1
D1
Initial
State
Initial
State
Distance From
Standard of Reference
(End State)
Distance From
Standard of Reference
(Initial State)
Distance From
Standard of Reference
(Initial State)
Distance From
Standard of Reference
(End State)
End
State
End
State
Fig. 1. Illustration showing how the frame of reference adopted to monitor progress influences the perceived marginal value of progress and
thus motivation. When an actor monitors progress in terms of distance (D) from the desired end state (a; to-go frame), the perceived value
(V) of an additional unit of distance (ΔD1 = ΔD2) increases the closer the actor is to the end state (ΔV1 < ΔV2; left graph). As a consequence,
motivation increases as distance from the end state decreases (right graph). When an actor monitors progress in terms of distance from the
initial state (b; to-date frame), the perceived value of an additional unit of distance (ΔD1 = ΔD2) decreases the further the actor is from the
initial state (ΔV1 > ΔV2; left graph). As a consequence, motivation decreases as distance from the initial state increases (right graph).
The Psychophysics of Goal Pursuit 609
(Elster & Loewenstein, 1992; Loewenstein, 1994). Moreover,
our hypothesis is consistent with the idea that the initial state
is more salient at the beginning of goal pursuit, whereas the
desired end state is more salient toward the end of goal pursuit
(Liberman & Dar, 2009). A switch in reference points, in com-
bination with the principle of diminishing sensitivity, predicts
decreased motivation in the middle of goal pursuit (Fig. 2). To
illustrate, a student who begins reading a book initially moni-
tors progress by counting pages read. As the student reads fur-
ther, the value of reading each additional page decreases, thus
decreasing motivation. As the end of the book nears, the stu-
dent switches reference points and starts monitoring progress
by pages remaining. The value of reading each additional page
now increases, thus increasing motivation.
Overall, the psychophysics of goal pursuit predicts a previ-
ously undiscovered nonmonotonic motivational pattern (i.e., a
U-shaped gradient). Moreover, it accounts for two monotonic
patterns: the classic increasing goal gradient and a novel
decreasing goal gradient.
Experiment 1
In Experiment 1, we tested whether motivation can decrease
halfway through goal pursuit.
Procedure
Students (N = 126) played a “words in a word” game: Each stu-
dent was presented with a word (e.g., manager) and was asked
to create as many other words as possible using the letters con-
tained only in that word (e.g., gear, range). Participants worked
on a series of nine words, each presented for 2 min. Each word
was identified by a serial number, by which participants were
able to track their progress. Those who scored within the 90th
percentile could win $50. Three target words were rotated
between participants in Positions 2, 5, or 8 according to a Latin
square design. The order of all other words was randomized.
Results and discussion
A quadratic within-participants effect of position, t(373) = 2.97,
p = .004, indicated that participants found fewer solutions when
a target word was presented fifth (M = 7.13, SD = 3.81) than
when it was presented second (M = 8.39, SD = 4.86), t(373) =
3.36, p = .001, d = 0.35, or presented eighth (M = 8.45, SD =
4.46), t(373) = 3.51, p = .001, d = 0.36. The Word × Position
interaction was not significant, t < 1.
These data suggest that respondents exerted less effort when
halfway through goal pursuit than when closer to the end or the
beginning; this finding is consistent with our hypothesis of
decreased motivation in the middle. However, this decrease
could also be due to depletion (Baumeister, Bratslavsky,
Muraven, & Tice, 1998) rather than to the proposed perceptual
mechanism. Depleted people tend to perform poorly on self-
control tasks (Muraven, Tice, & Baumeister, 1998) because they
focus on their fatigue rather than on the goal (Vohs & Schmei-
chel, 2003). However, when an external standard of reference for
monitoring goal pursuit is made salient, depleted individuals are
able to restore self-regulation by focusing on the standard rather
than on their fatigue (Wan & Sternthal, 2008). Decreased perfor-
mance when halfway to the goal could then result from fatigue
being difficult to overcome in the middle of goal pursuit, when
both external standards of reference for monitoring goal pur-
suit—beginning and end—are distant, hence least salient.
Experiment 2
Although we do not exclude the possibility that depletion
might produce a similar motivational pattern as the one we
found in Experiment 1, we argue that depletion is not neces-
sary to account for our results and that a perceptual mecha-
nism might provide a more parsimonious explanation. In
Experiment 2, we tested our psychophysical explanation by
manipulating the reference point used to monitor progress
(Koo & Fishbach, 2008) in a context that does not involve
depletion. Our psychophysical model of goal pursuit predicted
two pure monotonic gradients: increasing motivation when
progress is monitored with respect to the desired end state and
decreasing motivation when progress is monitored with
respect to the initial state (Fig. 2).
Procedure
At the end of an experimental session unrelated to the
present experiment, students (N = 137) received an envelope
containing $15 remuneration and information about a charity
Motivation
To-Date
Frame
Initial
State
End
State
Distance From
Standard of Reference
(Initial State vs. End State)
To-Go
Frame
Fig. 2. Predicted motivational patterns as a function of the standard of
reference adopted to monitor progress toward the goal. Motivation decreases
monotonically when an actor monitors progress relative to the initial state
(to-date frame), whereas motivation increases monotonically when an actor
monitors progress relative to the end state (to-go frame). The stuck-in-the-
middle pattern results when an actor initially adopts a to-date frame and then
switches to a to-go frame during goal pursuit.
610 Bonezzi et al.
project. A description of the project specified the charity’s goal
($300) and the current level of progress toward the goal,
manipulated between participants as either money collected so
far (to-date frame; $55, $155, or $245) or money still to be
collected (to-go frame; $245, $145, or $55). Participants were
instructed to leave part of their compensation in the envelope
if they wished to contribute.
Results and discussion
The predicted Frame × Progress interaction emerged, F(2,
131) = 3.525, p = .032. The classic goal gradient was repli-
cated for respondents who read about money still needed.
They donated more money when the collection was close to
the end (M = $2.86, SD = $2.59) than when it was in the mid-
dle (M = $1.10, SD = $1.59) or at the beginning (M = $1.05,
SD = $1.54). Consistent with the psychophysical power law,
results showed that contributions increased significantly when
comparing the middle with the end, t(131) = 2.13, p = .03, d =
0.37, but not when comparing the beginning with the middle,
t < 1; this suggests a nonlinear goal gradient.
The opposite gradient emerged for respondents who read
about money already collected. They donated more money
when the collection was at the beginning (M = $2.68, SD =
$3.94) than when it was in the middle (M = $1.12, SD = $2.05)
or near the end (M = $1.50, SD = $3.16). Consistent with the
psychophysical power law, findings indicated that contribu-
tions decreased significantly when comparing the beginning
with the middle, t(131) = 2.08, p = .04, d = 0.36, but not when
comparing the middle with the end, t < 1; this again suggests a
nonlinear gradient.
Experiment 2 allows two important conclusions. First, it pro-
vides evidence for a perceptual mechanism following the psy-
chophysical power law (Stevens, 1975) that is independent of
depletion. Specifically, it shows that different motivational gra-
dients can emerge, depending on the reference point adopted to
monitor progress. Second, it suggests that the stuck-in-the-middle
U pattern results from a switch in reference points during goal
pursuit, because when a single reference point was made salient,
a monotonic motivational pattern emerged.
Experiment 3
In Experiment 3, we tested whether the motivational U pattern
results from an attentional shift from the starting point to the
end point during goal pursuit. Across three conditions, we
measured and manipulated attentional focus to reference
points. When no frame to monitor progress was provided, we
expected the attentional measure to shift from the starting
point to the end point and performance to exhibit the stuck-in-
the-middle U pattern found in Experiment 1. However, we
expected that an explicit frame to monitor progress would
undermine this attentional shift, focusing to-date respondents
on the starting point and to-go respondents on the end point
throughout goal pursuit. Focus on one single reference point
should then produce the monotonic performance patterns
found in Experiment 2.
Procedure
Students (N = 69) proofread a series of nine essays for typo-
graphical errors. Three target essays were randomly rotated
between participants in Positions 2, 5, or 8. All other essays
were randomly rotated in the remaining positions. Above each
essay, a diagram illustrated the student’s progress on the task,
thus allowing us to manipulate the standard of reference for
monitoring progress. In the to-go condition, participants ini-
tially saw a row of nine icons, each representing one of the
essays to be reviewed. One icon at a time would disappear
from left to right after an essay was reviewed. In the to-date
condition, participants initially saw an empty row, to which
one icon at a time would be added from left to right after an
essay was reviewed. In the no-frame condition, participants
always saw a row of nine washed out icons, of which the one
corresponding to the essay being reviewed was highlighted.
For each essay, we measured the number of typos identified
and the time spent reviewing the essay. We computed a perfor-
mance index as the ratio of these two measures (i.e., typos
found per second). To measure attentional focus, we asked
participants to report where they currently were on the task
immediately after they completed the third and sixth essays.
Two coders blind to hypotheses and conditions then coded
whether the answers indicated a focus on essays completed
(to-date frame) or on essays to be completed (to-go frame; see
Koo & Fishbach, 2010).
Results and discussion
Our attentional measure confirmed that respondents adopted
different standards to monitor progress across conditions. Spe-
cifically, 80.9% of to-date respondents maintained a focus on
essays completed, and 79.1% of to-go respondents maintained
a focus on essays to be completed. Moreover, 75% of respon-
dents in the no-frame condition switched their focus from
essays completed to essays to be completed.
Performance exhibited the three expected patterns (Fig. 3).
To-go participants’ performance exhibited the classic goal gra-
dient, increasing monotonically as fewer essays remained. Per-
formance was highest when participants were close to the end of
the task (M = 0.13 typos per second, SD = 0.036) and lower
when either halfway (M = 0.098 typos per second, SD = 0.019)
or close to the beginning (M = 0.088 typos per second, SD =
0.024). Consistent with the psychophysical power law, findings
showed that the increase in performance was not significant
when comparing the beginning of the task with the middle,
t(198) = 1.58, p = .12, but was significant when comparing the
middle with the end, t(198) = 3.67, p = .001, d = 0.52.
To-date participants exhibited the opposite gradient: Their
performance decreased monotonically as the number of
essays reviewed increased. Performance was highest when
The Psychophysics of Goal Pursuit 611
participants were close to the beginning of the task (M = 0.123
typos per second, SD = 0.033) and lower when either halfway
(M = 0.095 typos per second, SD = 0.029) or close to the end
(M = 0.104 typos per second, SD = 0.028). The decrease in
performance was significant when comparing the beginning
with the middle, t(198) = 3.89, p < .001, d = 0.55, but it was not
significant when comparing the middle with the end, t(198) =
1.61, p = .11; this again suggested a nonlinear gradient.
In the no-frame condition, the stuck-in-the-middle U pattern
emerged. Pair-wise comparisons showed that performance
was higher when participants were close to the beginning of
the task (M = 0.122 typos per second, SD = 0.046) or near the
end (M = 0.124 typos per second, SD = 0.034) than when
they were halfway (M = 0.092 typos per second, SD = 0.026),
t(198) = 3.86, p < .001, d = 0.55; t(198) = 4.46, p < .001, d = 0.63.
Performance near the beginning and near the end of the task
did not differ, t < 1.
Overall, Experiment 3 provides evidence that the stuck-in-
the-middle U pattern is due to an attentional shift from the
starting point to the end point during goal pursuit. Further-
more, this experiment shows that three different goal gradients
can emerge, depending on the standards of reference adopted
to monitor progress.
General Discussion
Despite the widely accepted belief that motivation to reach a
goal increases as people approach the desired end state (Hull,
1932), the psychophysics of goal pursuit suggests that this is
not always the case. Because motivation is influenced by the
perceived marginal value of progress (Heath et al., 1999), dif-
ferent motivational gradients can emerge depending on the
standard of reference used to monitor progress. The classic
increasing motivational gradient occurs when individuals
focus on the desired end state throughout goal pursuit, whereas
a decreasing motivational gradient occurs when individuals
focus on the initial state throughout goal pursuit.
Our findings point to a previously undiscovered vulnera-
bility occurring about halfway to a goal. We showed that
participants exhibited a tendency to focus on the initial state as
the standard of reference at the beginning of goal pursuit, but
then shifted their focus to the desired end state as the end
neared. The observed stuck-in-the-middle pattern resulted
from this switch in reference points, in combination with the
psychophysics of utility perception. Therefore, the psycho-
physics of goal pursuit provides a parsimonious theoretical
explanation that accounts for the stuck-in-the-middle pattern,
as well as for other motivational gradients.
Acknowledgments
The authors would like to thank Brian Sternthal for his support and
his insightful comments on earlier drafts of this manuscript, Editor
Robert V. Kail and Associate Editor Thomas Mussweiler for their
guidance in the review process, and two anonymous reviewers for
their constructive comments.
Declaration of Conflicting Interests
The authors declared that they had no conflicts of interest with
respect to their authorship or the publication of this article.
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... Na základe uvedeného je zjavné, že nie vždy je orientácia na priblíženie spojená s pozitívnym emocionálnym prežívaním a pozitívnymi výstupmi správania. Na efektívnosť využívanej motivačnej stratégie vplýva aj fáza dosahovania cieľa (Bonezzi et al., 2011), pričom sa v priebehu tohto procesu môže meniť a to aj v závislosti od cieľa (Bullard & Manchanda, 2017;Bonezzi et al., 2011). Ak je cieľ stanovený ako referenčný bod, v iniciálnych fázach je viac motivujúca prezentácia cieľov v zmysle strát, opačne je to vo finálnych fázach (Bonezzi et al., 2011). ...
... Na základe uvedeného je zjavné, že nie vždy je orientácia na priblíženie spojená s pozitívnym emocionálnym prežívaním a pozitívnymi výstupmi správania. Na efektívnosť využívanej motivačnej stratégie vplýva aj fáza dosahovania cieľa (Bonezzi et al., 2011), pričom sa v priebehu tohto procesu môže meniť a to aj v závislosti od cieľa (Bullard & Manchanda, 2017;Bonezzi et al., 2011). Ak je cieľ stanovený ako referenčný bod, v iniciálnych fázach je viac motivujúca prezentácia cieľov v zmysle strát, opačne je to vo finálnych fázach (Bonezzi et al., 2011). ...
... Na efektívnosť využívanej motivačnej stratégie vplýva aj fáza dosahovania cieľa (Bonezzi et al., 2011), pričom sa v priebehu tohto procesu môže meniť a to aj v závislosti od cieľa (Bullard & Manchanda, 2017;Bonezzi et al., 2011). Ak je cieľ stanovený ako referenčný bod, v iniciálnych fázach je viac motivujúca prezentácia cieľov v zmysle strát, opačne je to vo finálnych fázach (Bonezzi et al., 2011). ...
Article
The main aim of the article is to point out the possibilities of researching the process of achieving goals from the perspective of regulatory fit theory. As part of the justification of this approach, the article presents the historically main theories of achieving goals – learning and performance goals (Elliot & Dweck, 1988), ego-involved and task-involved goals (Nicholls,1984), mastery and performance goals (Ames & Archer, 1988), which both may be in the dimension of approach or avoidance (Elliot & McGregor, 2001). Then attention is also focus to the motivational construct of regulatory focus (Higgins, 1997), which we connect with achieving goals. In the introduction, the achieved goals and types of regulatory focuses are presented in relation to their consequences. Mastery goals are focused on the development of one‘s own competence, and performance goals are characterized by the effort to overcome others, so they use social comparison. The approach dimension represents an effort to outperform others (performance goals) or one‘s previous performance (mastery goals), while the avoidance dimension represents an effort not to be worse than others (performance goals) or not to be worse compared to one‘s previous performance (mastery goals). For persons using the regulatory focus promotion, the occurrence of positive consequences is motivating, and for persons using the regulatory focus prevention, the fact that negative consequences do not occur is motivating. The article discusses the results of research dealing with which types of achievement goal (mastery and performance approach and avoidance goals) or regulatory focus (promotion and prevention regulatory focus) can be associated with more positive consequences in terms of achieving goals, while pointing out the inconsistency of these results. From this point of view, the hypothesis of regulatory fit appears to be a more unambiguous predictor of the success of achieving goals. Its principle is that the achieved performance goal is in accordance with an appropriate regulatory focus. For approach goals it is promotion regulatory strategy and for avoidance goals it is prevention regulatory strategy. In this case, regulatory fit is a better predictor of the success of achieving goals than the type of goal or regulatory focus itself. Even though the regulatory focus and achieved goals certainly have common features such as their definition through gains (promotion focus and approach goals) or losses (prevention focus and avoidance goals), they are different psychological constructs, because the goal rather represents the reasons for which behavior is realized and the regulatory focus is a concrete strategy for achieving goals. Thus, the fit between the focus and the type of goal may not always occur. At the end of the article we propose arrangements from the perspective of the regulatory fit hypothesis, which could improve the prediction of the success of the achieved goal. For example, studies conducted so far investigating regulatory fit did not take into account the possibility of changing the type of goal and the type of regulatory focus over time. Also, all studies are focused either on situational (which is relevant for the situation and is variable) or dispositional regulatory focus (a stable personality trait that refers to how a person typically strives to achieve a goal) independently and did not take into account that the fit between situational and dispositional regulatory focus equally positively predicts success in achieving the appropriate type of goal.
... The current findings imply that the experience of safety in social connection might be similarly asymmetric in its fulfillment. Specifically, movement toward the goal to feel safe in social connection may feel more satiating for aspiring than accomplished safety-seekers because making equivalent progress alleviates a more aversive prior state (of feeling unsafe) for people who are initially farther from the goal (i.e., those who are aspiring to feel safe) than it does for people who are initially closer to the goal (i.e., those who already feel safe; Bonezzi et al., 2011;Koo & Fishbach, 2012). Consistent with this logic, interventions also intended to foster a sense of safety in social connection, such as playing up the meaning of a romantic partner's compliment, do more to bolster connection for people high in sensitivity to social pain than those low in such sensitivity (Marigold et al., 2007(Marigold et al., , 2010. ...
Article
A new goal-systems model is proposed to help explain when individuals will protect themselves against the risks inherent to social connection. This model assumes that people satisfy the goal to feel included in safe social connections-connections where they are valued and protected rather than at risk of being harmed-by devaluing rejecting friends, trusting in expectancy-consistent relationships, and avoiding infectious strangers. In the hypothesized goal system, frustrating the fundamental goal to feel safe in social connection sensitizes regulatory systems that afford safety from the risk of being interpersonally rejected (i.e., the risk-regulation system), existentially uncertain (i.e., the social-safety system), or physically infected (i.e., the behavioral-immune system). Conversely, fulfilling the fundamental goal to feel safe in social connection desensitizes these self-protective systems. A 3-week experimental daily diary study (N = 555) tested the model hypotheses. We intervened to fulfill the goal to feel safe in social connection by repeatedly conditioning experimental participants to associate their romantic partners with highly positive, approachable words and images. We then tracked how vigilantly experimental versus control participants protected themselves when they encountered social rejection, unexpected behavior, or contagious illness in everyday life. Multilevel analyses revealed that the intervention lessoned self-protective defenses against each of these risks for participants who ordinarily felt most vulnerable to them. The findings provide the first evidence that the fundamental goal to feel safe in social connection can co-opt the risk-regulation, social-safety, and behavioral-immune systems as independent means for its pursuit. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
... Deadline-bound tasks offer an opportunity to examine the predictions of each of the accounts above, because approaching a deadline is time rather than action dependent, such that unlike different types of task end states (Bonezzi et al., 2011;Emanuel, 2019;Koo & Fishbach, 2012), approaching a deadline cannot yield a greater sense of goal-progress . Accordingly, the control process view would predict that approaching a deadline in itself would not have any influence on people's affective state given it does not indicate one's rate of progress towards their goal. ...
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Goal pursuits have long been associated with how good or bad people feel. The exact affective influence of approaching the end of a deadline-bound task, however, remains unclear. People's effort level usually increases as they approach a deadline, yet while some theories predict this pattern will correspond to an increase in positive affective state, others may suggest that affective state will follow an opposite trend. Here, participants (n = 22; 14 women) performed a deadline-bound spaceship game paradigm designed to measure U-shape patterns in effort allocation by the frequency of keypresses. Participants vocally rated how they feel on a scale ranging from-5 ("very bad") to +5 (very good) every 30 seconds through the game. We found that both effort level and affective ratings followed a U-shape pattern through the task. This result supports an opportunity cost model of goal gradients which suggests that people postpone competing activities in favor of performing a focal task when approaching a deadline.
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Many studies have found that allowing customers to self-design products using customization configurators generates high value for customers. However, in practice, high abandonment rates cast doubt on these findings. In the present article, this contradiction is resolved by analyzing consumers’ experiences during the creative process. Six studies provide converging evidence that consumers abandon customization because their valence during the process is U-shaped: initial high expectations prompt consumers to start self-designing in the first place, but they quickly find, to their frustration, that their (interim) design solutions are less attractive and the self-designing process is less enjoyable than they originally anticipated. Unaware that their enjoyment of the process would ultimately increase if they persisted through this phase, they abandon the self-design process altogether. It is only if the consumer overcomes the minimum of the U of valence that they harness the potential value from self-designing. This problematic pattern can be managed by providing social feedback during the self-design process. These findings contribute not only to the customization literature but also more generally to the understanding of consumers’ goal pursuit by enhancing its scope to creative tasks.
Article
Objective Behavioural weight loss interventions demonstrate success on average, yet participants who respond more slowly may benefit from an augmented, tailored approach. Thus, an augmented intervention for early, slow weight loss responders was implemented. This qualitative analysis explored participants’ perceptions of and experiences of the 12-month weight loss programme to inform future intervention development and implementation. Design Individual interviews were conducted post-treatment. In-person, in-depth interviews were offered prior to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic; videoconferencing interviews were offered following the pandemic onset. Setting A Midwestern US university workplace. Method Adults ⩾ 21 years old with overweight or obesity and prediabetes ( n = 39) were recruited and volunteered to participate in a semi-structured interview. Results Content analysis identified recurring themes among early and early slow weight loss responders. Social support received during weekly group sessions was a critical intervention component. Some early slow responders expressed difficulty with self-regulatory strategies such as setting specific yet attainable goals, and requested additional contact prior to the maintenance study phase – treatment randomisation at month 5 disrupted group dynamics. Early slow responders who received the intervention via videoconferencing believed the format interfered with their ability to establish friendships with other participants and gain insight and support from others’ lived experiences. Conclusion Weight loss interventions may be more efficacious when considering participant heterogeneity during implementation of behavioural strategies. Findings suggest early slow weight loss responders may benefit from greater emphasis on goal setting and striving, agentic thinking, and social support. Future research is needed to examine the implications of these insights on intervention outcomes.
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Customers can belong to multiple competing loyalty programs each with multiple reward levels. We extend loyalty program theories by proposing five mechanisms that capture the competitive effects in multi-firm, multi-level loyalty programs. We empirically test our hypotheses using data from a loyalty program management app where customers manage points independently across competing firms. We utilize goal shielding theory to show how a customer’s purchase at the focal firm is affected by the customer’s purchases and redemptions across competing firms. Specifically, we find that a customer’s purchase probability at the focal firm decreases after they qualify for a reward independent of redemption at a competing firm (competitive mere reward qualification) and after they redeem a reward at a competing firm (competitive rewarded behavior). Further, we find that the customer’s purchase probability at the focal firm increases if the customer is far from both the qualified and higher-level rewards at the competing firm (competitive stuck-in-the-middle), and if the customer accelerated their purchase frequency to qualify for or redeem a reward at the competing firm (competitive effort balancing post qualification and redemption). Four lab experiments supplement our empirical findings with causal evidence. Our research shows that customer progress toward a goal in a loyalty program is influenced by competing loyalty programs.
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The provision of activities with external benefits that rely on voluntary contributions may often fall below societal needs. In this article, we focus on such contributions to a citizen science project (the World Community Grid) in which members of the general public are asked to offer unused computer power to advance cutting-edge scientific research. We investigate the role played by symbolic awards in stimulating existing contributors to recruit new contributors for this project. The recruitment campaign we study introduces badges for referrals (visible on each user’s public profile page) varying, across randomized treatment groups, the threshold of successful referrals needed to receive these badges. We find that these symbolic incentives are effective in boosting referrals, and more so when the minimum threshold for achieving symbolic awards is higher. However, the overall effect of the incentives is quite modest, highlighting the challenges of running referral campaigns for the recruitment of volunteers.
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The purpose of this research was to investigate the effectiveness of a probabilistic reward scheme to motivate workers and increase their performance. Across seven experiments (three of which are in the online appendices) testing three different real effort tasks, we compared two novel probabilistic reward schemes with two traditional non-probabilistic reward schemes. In our flagship “single lottery” probabilistic scheme, worker performance was associated with the accumulation of lottery tickets in the worker’s own personal lottery with a moderate jackpot on offer. It was possible for the worker to accumulate all tickets and thus guarantee the jackpot. We found that the single lottery scheme increased motivation and performance relative to other probabilistic and non-probabilistic schemes with the same expected values. There was also evidence that the single lottery scheme was particularly effective for lower-ability workers relative to the non-probabilistic schemes. We argue that the single lottery scheme uniquely benefited from optimism bias and the goal gradient effect. Considering perceptions of (un)fairness associated with probabilistic reward schemes – at least at first – we discuss what labor contexts are appropriate for the introduction of a probabilistic reward scheme.
Chapter
In the last two years, consumers have experienced massive changes in consumption – whether due to shifts in habits; the changing information landscape; challenges to their identity, or new economic experiences of scarcity or abundance. What can we expect from these experiences? How are the world's leading thinkers applying both foundational knowledge and novel insights as we seek to understand consumer psychology in a constantly changing landscape? And how can informed readers both contribute to and evaluate our knowledge? This handbook offers a critical overview of both fundamental topics in consumer psychology and those that are of prominence in the contemporary marketplace, beginning with an examination of individual psychology and broadening to topics related to wider cultural and marketplace systems. The Cambridge Handbook of Consumer Psychology, 2nd edition, will act as a valuable guide for teachers and graduate and undergraduate students in psychology, marketing, management, economics, sociology, and anthropology.
Book
This book presents a thorough overview of a model of human functioning based on the idea that behavior is goal-directed and regulated by feedback control processes. It describes feedback processes and their application to behavior, considers goals and the idea that goals are organized hierarchically, examines affect as deriving from a different kind of feedback process, and analyzes how success expectancies influence whether people keep trying to attain goals or disengage. Later sections consider a series of emerging themes, including dynamic systems as a model for shifting among goals, catastrophe theory as a model for persistence, and the question of whether behavior is controlled or instead 'emerges'. Three chapters consider the implications of these various ideas for understanding maladaptive behavior, and the closing chapter asks whether goals are a necessity of life. Throughout, theory is presented in the context of diverse issues that link the theory to other literatures.
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Psychophysics is a lively account by one of experimental psychology's seminal figures of his lifelong scientific quest for general laws governing human behavior. It is a landmark work that captures the fundamental themes of Steven's experimental research and his vision of what psychophysics and psychology are and can be. The context of this modern classic is detailed by Lawrence Mark's pungent and highly revealing introduction. The search for a general psychophysical law-a mathematical equation relating sensation to stimulus-pervades this work, first published in 1975. Stevens covers methods of measuring human psychophysical behavior; magnitude estimation, magnitude production, and cross-modality matching are used to examine sensory mechanisms, perceptual processes, and social consensus. The wisdom in this volume lies in its exposition of an approach that can apply generally to the study of human behavior.