Thought for Food: Imagined Consumption Reduces Actual Consumption

Morewedge, Carey K.; Huh, Young Eun; Vosgerau, Joachim

doi:10.1126/science.1195701

Cited by 270 publications

(265 citation statements)

References 29 publications

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“…Cross-sectional and intervention studies have documented that adherence to a guided imagery program is correlated with greater motivation to be physically active [47,54,55]. Similarly, a growing body of literature suggests that guided imagery can be effective at improving dietary behaviors [48,56,57]. These studies suggest that guided imagery may be an effective way to simultaneously increase smoking cessation and engagement with physical activity and dietary behaviors.…”

Section: Introductionmentioning

confidence: 96%

Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers

Gordon

Armin

Hingle

et al. 2017

Behav. Med. Pract. Policy Res.

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Women face particular challenges when quitting smoking, especially those with weight concerns. A multi-behavioral smoking cessation intervention addressing these concerns and incorporating guided imagery may assist women to engage in healthy lifestyle behaviors. An mHealth app can easily disseminate such an intervention. The goals of this pilot study were to develop and test the feasibility and potential of the See Me Smoke-Free ™ mHealth app to address smoking, diet, and physical activity among women smokers. We used pragmatic, directto-consumer methods to develop and test program content, functionality, and the user interface and conduct a pre-/post-test, 90-day pilot study. We enrolled 151 participants. Attrition was 52%, leaving 73 participants. At 90 days, 47% of participants reported 7-day abstinence and significant increases in physical activity and fruit consumption. Recruitment methods worked well, but similar to other mHealth studies, we experienced high attrition. This study suggests that a guided imagery mHealth app has the potential to address multiple behaviors. Future research should consider different methods to improve retention and assess efficacy.

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Section: Introductionmentioning

confidence: 96%

Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers

Gordon

Armin

Hingle

et al. 2017

Behav. Med. Pract. Policy Res.

View full text Add to dashboard Cite

show abstract

“…In contrast, research in the domain of sensory habituation has suggested that people will prefer the first sensoryrich product in a sequence (i.e., primacy effects) because there is likely to be decreased sensitivity to, or liking of, repeated exposure to a stimulus (Epstein et al 2009;Morewedge, Huh, and Vosgerau 2010). Sensory habituation has been explained from both physiological and neurological perspectives.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Making Choices While Smelling, Tasting, and Listening: The Role of Sensory (Dis)similarity When Sequentially Sampling Products

Biswas

Labrecque

Lehmann

et al. 2014

Journal of Marketing

112

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Marketers are increasingly allowing consumers to sample sensory-rich experiential products before making purchase decisions. The results of seven experimental studies (two conducted in field settings, three conducted in a laboratory, and two conducted online) demonstrate that the order in which consumers sample products and the level of (dis)similarity between the sensory cues of the products influence choices. In the absence of any moderators, when sampling a sequence of sensory-rich experiential products (e.g., fragrances, chocolates, flavored beverages, music) with similar sensory cues (e.g., smell, taste, color, sound), consumers prefer the first product in the sequence. However, when sampling a sequence of products with dissimilar sensory cues, consumers prefer the last product. These findings (1) contribute to a better understanding of the role of sequential sensory cues on consumer choice formation, (2) have implications for effects related to sensory habituation and sensory trace fading, and (3) help resolve apparent inconsistencies in prior research on order effects in the context of choices for sequentially sampled experiential products.

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“…Following this logic, participants in Exp. 2 completed a reinforcement game modeled after classic studies of animal motivation (36)(37)(38)(39)(40). In a typical experiment of this type, the number of times that a rat pressed a lever indexed the rat's motivation to obtain a food reward associated with that lever (such that hungry rats would demonstrate greater effort and persistence in lever-pressing than nonhungry rats).…”

Section: Preliminary Experimentsmentioning

confidence: 99%

Perceived intent motivates people to magnify observed harms

Ames

Fiske

2015

Proc. Natl. Acad. Sci. U.S.A.

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Existing moral psychology research commonly explains certain phenomena in terms of a motivation to blame. However, this motivation is not measured directly, but rather is inferred from other measures, such as participants' judgments of an agent's blameworthiness. The present paper introduces new methods for assessing this theoretically important motivation, using tools drawn from animal-model research. We test these methods in the context of recent "harm-magnification" research, which shows that people often overestimate the damage caused by intentional (versus unintentional) harms. A preliminary experiment exemplifies this work and also rules out an alternative explanation for earlier harm-magnification results. Exp. 1 asks whether intended harm motivates blame or merely demonstrates the actor's intrinsic blameworthiness. Consistent with a motivational interpretation, participants freely chose blaming, condemning, and punishing over other appealing tasks in an intentional-harm condition, compared with an unintentional-harm condition. Exp. 2 also measures motivation but with converging indicators of persistence (effort, rate, and duration) in blaming. In addition to their methodological contribution, these studies also illuminate people's motivational responses to intentional harms. Perceived intent emerges as catalyzing a motivated social cognitive process related to social prediction and control.intent | motivation | harm | blame | morality

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Thought for Food: Imagined Consumption Reduces Actual Consumption

Cited by 270 publications

References 29 publications

Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers

Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers

Making Choices While Smelling, Tasting, and Listening: The Role of Sensory (Dis)similarity When Sequentially Sampling Products

Perceived intent motivates people to magnify observed harms

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