Skip to main content
Log in

The Differential Effects of Fear and Tranquility on Risk Taking When Probabilistic Information is Communicated in Verbal Terms

  • Published:
Group Decision and Negotiation Aims and scope Submit manuscript

Abstract

Verbal probability expressions are often used to communicate risk in decision making situations. We tested the argument that fear would lead to more pessimistic risk perceptions and higher risk aversion than tranquility when the verbal probability expression used to communicate risk is more (vs. less) ambiguous. In Experiment 1, using a dispute resolution context, we found that fear led to a lower impasse rate than tranquility when the probability of winning in court was described using the ambiguous probability word ‘a chance’ than when less ambiguous probability words were used (i.e., doubtful, probable). In Experiment 2, we replicated this effect using a risky-choice task. Participants in the fear condition were more likely to choose the safe option than those in the tranquil emotion condition when risk was communicated using the ambiguous probability word ‘a chance’ (vs. ‘doubtful’ and ‘probable’). The implications of these findings for emotion, risk taking, and risk communication literatures are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. The chat system was set up to end the negotiations when the time expired, however all negotiations ended before the 15-min time limit, when parties formally declared an agreement or impasse.

  2. Cohen (1988) suggested that d = .2 be considered a 'small' effect size, .5 represents a ‘medium’ effect size and .8 a ‘large’ effect size.

  3. We did not predict this significant difference between the two emotion conditions. We identified two outliers in the fearful-doubtful condition that may account for this difference (note. these are the same outliers mentioned under ‘ambiguity of verbal probability expression.’) Specifically, two participants in this condition rated their probability of winning in court as 1.00. When these outliers were eliminated, the mean numerical probability estimate in this condition dropped to .39, (SD = .16) and the difference in subjective probability estimates between the fear and tranquil emotion conditions became marginally significant, t(32) = 1.84, p = .075, d = .63.

  4. We replicated this effect using a logistic regression analysis with 5000 bootstrap samples (PROCESS Model 1; Hayes 2018). The interaction effect of emotion and verbal probability expression on risk taking was significant (B = 1.12, S. E. = .56, p = .045). As predicted, only in the condition ‘a chance,’ fear (vs. tranquility) led to lower risk taking, B = − 1.58, S.E = .74, p = .03, 95% CI = [− 3.03, − .12]. In the other verbal probability conditions, the effect of emotion on risk taking was not significant (p > .30).

  5. We replicated this effect using a logistic regression analysis with 5000 bootstrap samples (PROCESS Model 1; Hayes 2018). The interaction effect of emotion and verbal probability expression on risk taking was not significant (B = − .07, S. E. = .51, p = .89).

  6. We also measured participants of perceptions of predictability and situational control (Lerner and Keltner 2001) as well as their approach and avoidance motivation (Elliot and Thrash 2002). We did not find a significant interaction effect of the emotion and verbal probability expression conditions on these variables. These results were not reported in the manuscript but are available upon request.

  7. We also transformed the risk perceptions measure in order to obtain a normal distribution. The direction and significance of the results were the same using the transformed variable.

  8. We replicated this effect using a logistic regression analysis with 5000 bootstrap samples (PROCESS Model 1; Hayes 2018). The interaction effect of emotion and verbal probability expression on risk taking was significant (B = .78, S. E. = .32, p = .013). As predicted, only in the condition ‘a chance,’ fear (vs. tranquility) led to lower risk taking, B = − 1.00, S.E = .42, p = .016, 95% CI = [− 1.82, − .10]. In the other verbal probability conditions, the effect of emotion on risk taking was not significant (p > .14).

References

  • Baer RA, Smith GT, Hopkins J, Krietemeyer J, Toney L (2006) Using self-report assessment methods to explore facets of mindfulness. Assessment 13(1):27–45

    Article  Google Scholar 

  • Bottom WP (1998) Negotiator risk: sources of uncertainty and the impact of reference points on negotiated settlements. Organ Behav Hum Decis Process 76:89–112

    Article  Google Scholar 

  • Bower GH (1991) Mood congruity of social judgments. In: Forgas JP (ed) Emotion and social judgments. Pergamon Press, Elmsford, pp 31–53

    Google Scholar 

  • Bower GH, Forgas JP (2001) Mood and social memory. In: Forgas JP (ed) The handbook of affect and social cognition. Erlbaum, Mahwah, pp 95–120

    Google Scholar 

  • Brooks AW, Schweitzer M (2011) Can nervous Nelly negotiate? How anxiety causes negotiators to make low first offers, exit early, and earn less profit. Organ Behav Hum Decis Process 115:43–54

    Article  Google Scholar 

  • Budescu DV, Wallsten TS (1985) Consistency in interpretation of probabilistic phrases. Organ Behav Hum Decis Process 36:391–405

    Article  Google Scholar 

  • Budescu DV, Weinberg S, Wallsten TS (1988) Decisions based on numerically and verbally expressed uncertainties. J Exp Psychol Hum Percept Perform 14:281–294

    Article  Google Scholar 

  • Budescu DV, Broomell S, Por H (2009) Improving communication of uncertainty in the IPCC reports. Psychol Sci 20:299–308

    Article  Google Scholar 

  • Budescu DV, Por HH, Broomell SB (2012) Effective communication of uncertainty in the IPCC reports. Clim Change 113:181–200

    Article  Google Scholar 

  • Buhrmester MD, Kwang T, Gosling SD (2011) Amazon’s mechanical turk: a new source of inexpensive, yet high quality, data? Perspect Psychol Sci 6:35

    Article  Google Scholar 

  • Campos-Vazquez RM, Cuilty E (2014) The role of emotions on risk aversion: a prospect theory experiment. J Behav Exper Econ 50:1–9

    Article  Google Scholar 

  • Cohen J (1988) Statistical power analysis for the behavioral sciences. Routledge, New York

    Google Scholar 

  • Easterbrook JA (1959) The effect of emotion on cue utilization and the organization of behavior. Psychol Rev 66(3):183

    Article  Google Scholar 

  • Elliot AJ, Thrash TM (2002) Approach-avoidance motivation in personality: approach and avoidance temperaments and goals. J Pers Soc Psychol 82(5):804

    Article  Google Scholar 

  • Ellsworth PC, Smith CA (1988) Shades of joy: patterns of appraisal differentiating pleasant emotions. Cogn Emot 2(4):301–331

    Article  Google Scholar 

  • Forgas JP (1995) Mood and judgment: the affect infusion model (AIM). Psychol Bull 117:39–66

    Article  Google Scholar 

  • Forgas JP, George JM (2001) Affective influences on judgments and behavior in organizations: an information processing perspective. Organ Behav Hum Decis Process 86:3–34

    Article  Google Scholar 

  • Fredrickson BL (1998) What good are positive emotions? Rev Gen Psychol 2(3):300

    Article  Google Scholar 

  • Fredrickson BL (2001) The role of positive emotions in positive psychology: the broaden-and-build theory of positive emotions. Am Psychol 56(3):218

    Article  Google Scholar 

  • Fredrickson BL, Branigan J (2005) Positive emotions broaden the scope of attention and thought-action repertoires. Cogn Emot 19(3):313–332

    Article  Google Scholar 

  • Gino F, Schweitzer M (2008) Blinded by anger or feeling the love: how emotions influence advice taking. J Appl Psychol 93:1165–1173

    Article  Google Scholar 

  • Gino F, Wood A, Schweitzer M (2012) Anxiety, advice, and the ability to discern: feeling anxious motivates individuals to seek and use advice. J Pers Soc Psychol 102:497–512

    Article  Google Scholar 

  • Habib M, Cassotti M, Moutier S, Houdé O, Borst G (2015) Fear and anger have opposite effects on risk seeking in the gain frame. Front Psychol 6:253

    Article  Google Scholar 

  • Hartley CA, Phelps EA (2012) Anxiety and decision making. Biol Psychiat 72:113–118

    Article  Google Scholar 

  • Hayes AF (2018) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach, 2nd edn. The Guilford Press, New York

    Google Scholar 

  • Hsee CK (1996) The evaluability hypothesis: an explanation for preference reversals between joint and separate evaluation of alternatives. Organ Behav Hum Decis Process 67:247–257

    Article  Google Scholar 

  • Isen AM, Daubman KA (1984) The influence of affect on categorization. J Pers Soc Psychol 47:1206–1217

    Article  Google Scholar 

  • Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47:263–291

    Article  Google Scholar 

  • Kiken LG, Shook NJ (2011) Looking up: mindfulness increases positive judgments and reduces negativity bias. Soc Psychol Pers Sci 2(4):425–431

    Article  Google Scholar 

  • Kugler T, Connolly T, Ordóñez LD (2012) Emotion, decision, and risk: betting on gambles versus betting on people. J Behav Decis Mak 25(2):123–134

    Article  Google Scholar 

  • Lazarus RS (1991) Emotion and adaptation. Oxford University Press, New York

    Google Scholar 

  • Lerner JS, Keltner D (2000) Beyond valence: toward a model of emotion specific influences on judgment and choice. Cogn Emot 14:473–493

    Article  Google Scholar 

  • Lerner JS, Keltner D (2001) Fear, anger, and risk. J Personal Soc Psychol 81:146–159

    Article  Google Scholar 

  • Lerner JS, Gonzalez RM, Small DA, Fischhoff B (2003) Effects of fear and anger on perceived risks of terrorism: a national field experiment. Psychol Sci 14:144–150

    Article  Google Scholar 

  • Loewenstein GF, Weber EU, Hsee CK, Welch N (2001) Risk as feelings. Psychol Bull 127:267–286

    Article  Google Scholar 

  • Marcus GE, Sullivan JL, Thiess-Morse E, Stevens D (2005) The emotional foundation of political cognition: the impact of extrinsic anxiety on the formation of political tolerance judgments. Polit Psychol 26:949–963

    Article  Google Scholar 

  • Marks IM, Nesse RM (1994) Fear and fitness: an evolutionary analysis of anxiety disorders. Ethol Sociobiol 15(5–6):247–261

    Article  Google Scholar 

  • Mittal V, Ross WT (1998) The impact of positive and negative affect and issue framing on issue interpretation and risk taking. Organ Behav Hum Decis Process 76:298–324

    Article  Google Scholar 

  • Mitte K (2007) Anxiety and risky decision-making: the role of subjective probability and subjective costs of negative events. Personal Individ Differ 43:243–253

    Article  Google Scholar 

  • Ness RM, Klaas R (1994) Risk perceptions by patients with anxiety disorders. J Nerv Ment Dis 182:466–470

    Article  Google Scholar 

  • Raghunathan R, Pham MT (1999) All negative moods are not equal: motivational influences of anxiety and sadness on decision making. Organ Behav Hum Decis Process 79(1):56–77

    Article  Google Scholar 

  • Smith CA, Ellsworth PC (1985) Patterns of cognitive appraisal in emotion. J Pers Soc Psychol 48:813–838

    Article  Google Scholar 

  • Smith CC, Tong EMW, Ellsworth PC (2014) The differentiation of positive emotional experience as viewed through the lens of appraisal theory. In: Tugade M, Shiota M, Kirby LD (eds) The handbook of positive emotions. Guilford, New York, pp 11–27

    Google Scholar 

  • Stevens JP (2012) Applied multivariate statistics for the social sciences. Routledge, London

    Google Scholar 

  • Tiedens LZ, Linton S (2001) Judgment under emotional certainty and uncertainty: the effects of specific emotions on information processing. J Pers Soc Psychol 81(6):973

    Article  Google Scholar 

  • Tsai MH, Young MJ (2010) Anger, fear, and escalation of commitment. Cogn Emot 24(6):962–973

    Article  Google Scholar 

  • Wallsten TS, Budescu DV, Rapoport A, Zwick R, Forsyth B (1986) Measuring the vague meanings of probability terms. J Exp Psychol Gen 115:348–365

    Article  Google Scholar 

  • Wallsten TS, Budescu DV, Zwick R (1993) Comparing the calibration and coherence of numerical and verbal probability judgments. Manag Sci 39:176–190

    Article  Google Scholar 

Download references

Acknowledgements

This project was supported in part by a Webster University Faculty Research Grant awarded to the first author.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ece Tuncel.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

1.1 Experiment 1: Task Instructions

1.1.1 Plaintiff Role

Imagine that you live in an apartment building and park your car in the indoor parking garage. Last week, as you were leaving home to drive to school, you saw that a big piece of drywall fell onto your car from the ceiling, breaking the rear taillight and scratching the trunk. That afternoon, you took your car to a garage and learned that the cost of damages was $1200. Since your insurance deductible is higher than this amount, you would have to pay for the full amount to get your car fixed.

You let the apartment manager know about the situation and asked for a reimbursement since it is the management’s responsibility to keep the garage safe for parking. The manager told you that the ceiling should be inspected before any payment decision could be made. A couple of days later, the manager called you to tell that the inspectors could not detect any structural problem or a water leak in the ceiling. However, they saw a raccoon’s footprints around your parking spot. They believe that a raccoon went into the ceiling, leading the drywall to fall. The manager added that they will NOT pay for the damages since the situation did not result from an oversight on their part such as a water leak. The manager said ‘We simply could not have prevented the raccoon from getting into the ceiling’.

After talking to the manager, you went to Student Legal Services to talk about possible courses of action. The lawyer told you that there are two options in this situation:

  • REACHING A SETTLEMENT: You can talk with the apartment manager again and negotiate to receive a certain amount of money to cover your expenses.

  • GOING TO THE SMALL CLAIMS COURT: If you cannot reach a satisfactory deal with the manager, you can go to court. The small claims court helps people handle their small cases without an attorney. To file your case, you need to pay a $100 court fee. There are no additional fees or legal costs involved. If the judge decides in your favor, you will receive the amount you asked for. If not, you will receive $0.

You asked the lawyer about your chances of winning in court and the lawyer replied “it is doubtful/there is a chance/it is probable that the judge will make a decision in your favor.” (Note: Participants were randomly assigned to one of the three verbal probability expression conditions.)

After giving some thought to the matter, you decided to negotiate with the manager. If you cannot get a satisfactory deal in the negotiation, you will consider going to court.

You are about to negotiate with the manager. You have 15 min to negotiate. The negotiation will end when one of the following occurs:

  • You REACH AN AGREEMENT with the manager.

  • TIME RUNS OUT before you reach an agreement.

  • One of you decides to END THE NEGOTIATION AND PRESSES THE EXIT BUTTON.

(Note: Then participants negotiated with their counterpart, sending offers and messages. In each round, they had the option to (1) send an offer, (2) reach an agreement, or (3) terminate the negotiation which meant reaching impasse.)

1.1.2 Defendant Role

Imagine that you manage an apartment complex in which most of the occupants are college students. The building also has an indoor garage. Last week, a tenant called you to tell that a big piece of drywall fell from the ceiling onto the tenant’s car, breaking the rear taillight and scratching the trunk. The cost of damages was $1200. The tenant asked you to pay for the damages, arguing that it is the management’s responsibility to keep the garage safe for parking. You told the tenant that the ceiling should be inspected before any payment decision could be made.

The inspectors came to the garage a couple of days later. They could not detect any structural problem or a water leak in the ceiling. However, they saw a raccoon’s footprints around the tenant’s parking spot. They believe that a raccoon went into the ceiling, leading the drywall to fall. Since the situation did not result from an oversight on your part such as a water leak, you decided NOT to pay for the damages. You simply could not have prevented the raccoon from getting into the ceiling. A couple of days later, you conveyed this decision to the tenant.

In any case, you talked to a lawyer to ask about the possible courses of action the tenant can take in this situation. The lawyer told you that the tenant has two options in this situation:

  • REACHING A SETTLEMENT: The tenant could try to negotiate with you to receive a certain amount of money to cover the expenses.

  • GOING TO THE SMALL CLAIMS COURT: The tenant could go to the small claims court. The small claims court helps people handle their small cases without an attorney. To apply, the tenant needs to pay a $100 court fee. There are no additional fees or legal expenses involved. If the judge decides in the tenant’s favor, you will pay the amount the tenant asked for. If not, you will pay nothing.

You asked the lawyer about the tenant’s chances of winning in court and the lawyer replied “it is doubtful/there is a chance/it is probable that the judge will make a decision in the tenant’s favor.” (Note: Participants were randomly assigned to one of the three verbal probability expression conditions.)

After a couple of days, you learned that the tenant decided to talk to you again and negotiate. If you cannot reach a satisfactory deal in the negotiation, the tenant will consider going to court.

You are about to negotiate with the tenant. You have 15 min to negotiate. The negotiation will end when one of the following occurs:

  • You REACH AN AGREEMENT with the tenant.

  • TIME RUNS OUT before you reach an agreement.

  • One of you decides to END THE NEGOTIATION AND PRESSES THE EXIT BUTTON.

(Note: Then participants negotiated with their counterpart, sending offers and messages. In each round, they had the option to (1) send an offer, (2) reach an agreement, or (3) terminate the negotiation which meant reaching impasse.)

1.2 Experiment 2: Task Instructions

You will make a choice and you have two options: Option A and Option B.

If you choose Option A: You can win $10.

If you choose Option B: Your counterpart will make the decision. If your counterpart makes a decision in your favor, you will win $20. If your counterpart does not make a decision in your favor, you will receive $0.

There is a chance/it is probable/it is doubtful that your counterpart will make a decision in your favor. (Note: Participants were randomly assigned to one of the three verbal probability expression conditions.)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tuncel, E., Bottom, W.P. The Differential Effects of Fear and Tranquility on Risk Taking When Probabilistic Information is Communicated in Verbal Terms. Group Decis Negot 28, 671–693 (2019). https://doi.org/10.1007/s10726-019-09628-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10726-019-09628-3

Keywords

Navigation