Abstract
The interaction between goals and affect in decision making is not well understood. We test the affective-motivational route theory (AMR: Aarts et al. 2008b) which predicts that positive affect primed along with a goal leads to goal pursuit, whereas negative affect primed along with a goal does not lead to less goal pursuit. In the current study, we test AMR using a process tracing paradigm where individuals are primed with goals (accuracy or speed) and affect (positive or negative). Participants then performed a decision search task where decision relevant information must be actively searched. Results indicate participants primed with negative affect showed search behavior consistent with the primed goals of accuracy or speed. Conversely, participants primed with positive affect showed search behavior inconsistent with the primed goals of accuracy or speed. These results are in the opposite direction of AMR but are consistent with self-regulatory theories.
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Notes
Though not reported in the current results, we did analyze search direction using the SM index. The SM index (Bockenholt and Hynan 1994) is a function search direction (alternative-wise and attribute-wise transitions) standardized to correct for biases resulting in grid size. Positive values on the SM index indicate more accuracy striving (i.e., alternative-wise moves) and negative scores indicate more heuristic striving (i.e., attribute-wise moves). Results from this analysis were consistent with the time results in Table 1 with the positive affect conditions having more goal congruent scores and the opposite pattern in the negative affect conditions.
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Appendices
Appendix 1
Priming stimuli
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Affect words; Positive: happy, fun, enjoyment, smile, joy, laugh, party Negative: sad, depressed, hopeless, miserable, gloomy, anxiety
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Goal words; Accuracy: accurate, exact, certainty, precision, definitiveness, correct, right Efficiency: efficient, fast, quick, brisk, rapid, swift, instant.
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Control words; academy, banana, chicken, diplomat, earring, fluid, gene.
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Non-words; portaaj, ujwiting, waeiv, mudment, asfral, baeneg, elecoluge, lastez, renijo, xjala, octet, bklap, ghlue, fewop, getra, neaqt, surpaq, wafga, cdas.
Appendix 2
Decision search grids
Computers
Price | Hard DRIVE | Operating Memory | Monitor Size | Processing Speed | Computer.com Rating | |
---|---|---|---|---|---|---|
Computer A | $750 | 750gb | 3gb | 23in | 2.3ghz | **** |
Computer B | $800 | 500gb | 2gb | 23in | 2.0ghz | ** |
Computer C | $750 | 750gb | 3gb | 23in | 2.5ghz | **** |
Computer D | $950 | 500gb | 1gb | 22in | 2.0ghz | * |
Computer E | $1000 | 750gb | 3gb | 20in | 2.5ghz | *** |
Apartments
Price | Sq ft | Utilities Included | Bedrooms | Proximity to Campus | Apartments.com Rating | |
---|---|---|---|---|---|---|
Apartment A | $800 | 700sqft | yes | 1 | 5.0 miles | ** |
Apartment B | $700 | 750sqft | yes | 1 | 0.2 miles | **** |
Apartment C | $825 | 650sqft | no | studio | 10.0 miles | * |
Apartment D | $700 | 750sqft | Yes | 1 | 1.0 miles | **** |
Apartment E | $725 | 700sqft | no | 1 | 2.5 miles | *** |
MP3 players
Price | Storage | Video | Name Brand | Sound Quality | mp3.com Rating | |
---|---|---|---|---|---|---|
Mp3 A | $200 | 250gb | No | Yes | Medium | ** |
Mp3 B | $150 | 200gb | Yes | Yes | High | **** |
Mp3 C | $220 | 150gb | No | No | Low | * |
Mp3 D | $150 | 250gb | Yes | Yes | High | **** |
Mp3 E | $180 | 200gb | Yes | No | High | *** |
Screenshot of the decision search grid
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Harman, J.L., Weinhardt, J.M., Gonzalez-Vallejo, C. et al. The influence of affect and goal priming on decision search behavior. Curr Psychol 41, 5795–5802 (2022). https://doi.org/10.1007/s12144-020-01048-w
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DOI: https://doi.org/10.1007/s12144-020-01048-w