Imagining Events Alternative to the Present Can Attenuate Delay Discounting

Area of Science:

• Cognitive Psychology
• Neuroeconomics
• Decision Science

Background:

• Delay discounting (DD) describes the preference for smaller, immediate rewards over larger, delayed ones.
• Previous research indicates that imagining future events can decrease DD.
• The impact of imagining non-future events on DD remains less explored.

Purpose of the Study:

• To investigate whether imagining complex events, irrespective of their temporal location (future, past, or present), can reduce delay discounting.
• To determine if mentally constructing experiences, rather than direct perception, influences intertemporal choices.
• To examine the role of subjective temporal experience in modulating reward valuation.

Main Methods:

• A study involving 250 participants who were assigned to four conditions: imagining future events, remembering past events, imagining present events, or attending to present events.
• Participants completed a series of intertemporal choice tasks involving monetary and food rewards after the respective experimental manipulations.
• Data analysis focused on comparing the degree of delay discounting across the different conditions.

Main Results:

• Imagining future events reduced delay discounting, but this effect was moderated by individual differences in vividness of future pre-experience.
• A significant reduction in delay discounting was also observed in the Past and Present-imagine conditions, comparable to the future imagination effect.
• These findings suggest that mentally constructing experiences, regardless of their subjective temporal placement, can attenuate the preference for immediate rewards.

Conclusions:

• Shifting perspective from direct perception of the present to mentally constructed experiences, whether past, present, or future, can reduce delay discounting.
• The ability to mentally simulate events is a key factor in downplaying immediate reward appraisals.
• These findings have implications for understanding decision-making processes and developing interventions for conditions characterized by impulsivity.