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Effort Discounting.

Choose a reward route after making its effort cost explicit.

Interactive experimentintuitiveField note ·
INTERACTIVE EXPERIMENT / P40

Effort Discounting

Choose a reward route after making its effort cost explicit.

PLAY & EXPLAIN

Choose a delivery route: four steps for six tokens, or eight steps for fourteen. Inspect a transparent illustrative value rule V = reward − k × effort, then complete a chosen route.

03
Supplied effort-value model
RouteStepsTokensModelled net value
Short462.00
Long8146.00
Progress
No route selected
Tokens earned
0

Effort discounting concerns how effort can reduce subjective value. The linear rule and clicking cost are authored examples, not a fitted utility function or a measure of motivation, fatigue or physical ability.

The linear coefficient and clicking task are authored simplifications, not a fitted utility function, physical-effort measure or assessment of motivation, fatigue or ability.

THE SHORT VERSION

Effort Discounting, explained.

Effort discounting describes a reduction in subjective value associated with the effort needed to obtain an outcome.

01 / THE MECHANISM

Why it happens

Two routes exchange four steps for six tokens or eight for fourteen. A supplied linear value rule subtracts k times effort, while the chosen route requires actual button steps before tokens appear.

Effort discounting describes a reduction in subjective value associated with the effort needed to obtain an outcome.

Read the result

Tokens are earned only when the selected route’s steps are completed. The modelled net value is separate from those earned tokens and from actual subjective effort.

02 / FOLLOW IT THROUGH

A worked example

Compare reward and effort on two routes

  1. At cost per step one, compare short-route net value two with long-route net value six.

  2. Increase cost per step to three and inspect how the declared linear tradeoff changes both values.

  3. Choose a route and complete its steps, without treating the clicks as a fitted measure of motivation.

OPTIONAL DEEPER DETAILGo deeper: inside the model

Inside this model

Two routes exchange four steps for six tokens or eight for fourteen. A supplied linear value rule subtracts k times effort, while the chosen route requires actual button steps before tokens appear.

03 / BEYOND THE EXPERIMENT

Where this idea is useful

A practical use

Separate a larger reward from a more attractive reward–effort tradeoff.

CHECK YOUR INTUITION

A common misconception

THE TEMPTING CONCLUSION

“A larger nominal reward must be the more attractive option.”

THE MORE USEFUL DISTINCTION

The effort required can reduce subjective value, but the relevant cost function and constraints must be specified rather than inferred from reward alone.

What this explanation leaves out

  • The linear coefficient and clicking task are authored simplifications, not a fitted utility function, physical-effort measure or assessment of motivation, fatigue or ability.
ONE MORE QUESTION

Why is the linear cost not presented as a research estimate?

The coefficients are authored to expose a tradeoff; real effort valuation can be nonlinear and requires an appropriate measurement task.

TAKE THE IDEA WITH YOU

What cost or constraint makes the larger reward less appealing?

Associated thinkers

Associated withAndrew Westbrook ↗

Associations marked provisional are awaiting source review.

Further reading

Explore the original research or the teaching reference behind this experiment.