You can perform a routine smoothly in front of others and stumble when the instructions change. The difference is not explained by a blanket rule that audiences are good or bad. Social facilitation research asks how the social setting interacts with the response a task is likely to elicit. Modic's model makes one historical explanation explicit so you can test its logic without mistaking it for a measurement of your personal performance.
What social facilitation means in this account
Social facilitation broadly concerns performance changes in the presence of other people. In the dominant-response account associated with Robert Zajonc, the central question is whether a strengthened response helps the current task. A well-learned correct action can benefit; a likely but incorrect action can interfere. The same proposed mechanism can therefore produce outcomes in opposite directions.
The primary Social Facilitation paper is the starting reference for that account. Treat it as an explanation to examine, with a particular research history, rather than a universal law about confidence. Audiences can involve evaluation, attention, relationships and incentives as well as mere presence. A single teaching model cannot include all those features.
Dominant does not mean correct or desirable
A dominant response is the response most likely under the relevant conditions. It might be an appropriate practised action, an obsolete shortcut or a response that conflicts with a new instruction. Describing it as dominant does not praise it. That vocabulary helps explain why simply practising more of the old task may not prepare you for a changed version.
The social-facilitation experiment fixes a habit favouring A and lets you reverse the required response. The audience parameter raises the log-odds of A, not an abstract performance score. Read the instruction before reading the result. If the instruction requires B, improving the strength of A lowers correctness by construction. The output follows a specified response rule rather than a judgment about the reader's skill.
Worked example: the same boost, a different result
Use a small comparison you can explain before running the sampled attempts. Expected probabilities describe the model's rule. The hundred-attempt results then add sampling variation, so neither individual batch nor a pleasing graph should be treated as the historical result itself.
- Keep the default habit and audience boost. With A required, compare the expected correctness alone and with the audience term, then simulate one hundred paired attempts.
- Reverse the task instruction to B without changing the habit or boost. Explain why the expected direction changes before reading the new sampled counts.
- Set the audience boost to zero. The expected difference vanishes because the model no longer changes response probability between conditions; this is an inspectable model check, not a psychological finding.
Rehearse the decision that changes, not just the motion
A practical rehearsal question is whether you must select a new response or simply execute an already selected one. If a familiar keyboard shortcut now does the wrong thing, practice should require detecting the changed context and selecting the appropriate action. Repeating an unchanged routine can build fluency while leaving that decision untested.
The interleaving activity offers a complementary example. Mixed area and perimeter problems require selecting a procedure instead of repeating whichever procedure the previous question supplied. It does not test an audience effect, but it helps distinguish performing a known method from deciding which method applies. Keep those learning targets separate when interpreting a rehearsal score.
Do not infer an explanation from a score difference alone
A later primary study, social facilitation of dominant and subordinate responses, addresses the response distinction directly. In your own comparison, a performance difference could also reflect changed instructions, feedback, practice, fatigue or the people involved. Observing a difference is the beginning of an explanation, not an automatic identification of its cause.
The cognitive-load activity demonstrates another source of competing task demands. Its arithmetic condition also changes retention time, so the interface states that it cannot isolate a pure load effect. Apply the same discipline to audience comparisons: record what else changed and resist giving the most memorable theory all the explanatory credit.
Go a little deeper: Inside the teaching equation
If s is habit strength and a is the authored audience boost, P(A) is logistic(s) alone and logistic(s+a) with the boost. Correctness is P(A) when A is required and 1−P(A) when B is required. This explicitly produces opposite directions without fitting any human effect size.
A rehearsal note with useful observations
Write a compact note before making a performance claim. Include the response that must change and the evidence that would show the practice transferred. This makes the result more useful than remembering only that a public attempt felt difficult or a private attempt went well.
- State the exact task and the required response.
- Identify an existing habit that could conflict with it.
- Record social setting, timing, feedback and prior attempts.
- Measure the actual outcome needed: accuracy, speed or both.
- Use new cases when checking transfer rather than only repeating a memorised sequence.
An informal activity does not diagnose performance anxiety
The model contains no assessment of stress, personality or mental health. Its audience coefficient is a slider precisely because it is an assumption the reader can inspect. A person can have several competing responses, and real tasks involve more than a binary A-versus-B choice. A result from this board cannot establish which mechanism explains an individual's real presentation or exam.
Use it to improve the specificity of a question: what response is likely, what response is required, and what changed between conditions? That sequence can guide better observation and more relevant practice while leaving individual explanations open. The benefit of the exercise is a testable account of the task, rather than a promise that a particular audience arrangement will always improve the next attempt.
Try the ideas for yourself.
These are teaching models. Follow the assumptions in each experiment; the results are not real-world forecasts.
Sources & further reading
Current-event context was checked on October 27, 2026. Follow the original source for newer updates. Worked scenarios are illustrative unless explicitly identified as reported data.
- Robert Zajonc — Social facilitation ↗
Primary theoretical account from Zajonc.
- Zajonc and Sales — Dominant and subordinate responses ↗
Primary research focused on the response distinction.