Social facilitation, or the audience effect, is the tendency for people to perform differently when in the presence of others than when alone. Compared to their performance when alone, when in the presence of others, they tend to perform better on simple or well-rehearsed tasks and worse on complex or new ones. The Yerkes-Dodson law, when applied to social facilitation, states that "the mere presence of other people will enhance the performance in speed and accuracy of well-practiced tasks, but will degrade in the performance of less familiar tasks."
Social facilitation has occasionally been attributed to the fact that certain people are more susceptible to social influence, with the argument that personality factors can make these people more aware of evaluation.
The audience effect is an attempt at psychologically explaining why the presence of an audience leads to people's performing tasks better in some cases and worse in others. This idea was further explored when some studies showed that the presence of a passive audience facilitated the better performance of a simple task, while other studies showed that the presence of a passive audience inhibited the performance of a more difficult task or one that was not well practiced, possibly due to psychological pressure or stress. (See Yerkes–Dodson law.)
- 1 History
- 2 Major theoretical approaches
- 2.1 Activation theory
- 2.2 Evaluation approach
- 2.3 Attention approach
- 2.4 Self-presentation approach
- 3 Major empirical findings
- 4 Electronic performance monitoring
- 5 In educational settings
- 6 Contributing factors
- 7 Controversies
- 8 See also
- 9 References
Social facilitation can be defined as a tendency for individuals to perform differently when in the mere presence of others. Specifically, individuals perform better on simpler or well-rehearsed tasks and perform worse on complex or new ones. In relation to this, there are three main empirical relationships which are the activation, evaluation, and attention theories. The activation theory describes how we are physiologically aroused and how that affects our functioning. The evaluation theory relates to the systematic assessment of the worth or merit of some object. The attention theory takes into account possession in the mind including focalization and concentration of consciousness.
In 1897, Triplett studied the effect on performance of having an audience. Triplett's experiment had a simple design; a cyclist's performance when alone was compared with a cyclist's performance when racing against another cyclist. He found that the cyclist was slowest when he was only racing the clock and not another cyclist. He attributed these results to a competitive instinct which releases energy that was not available when pedaling alone. Triplett's study started off a revolution of studies attempting to examine the theory that people's performance is influenced by the presence of others. The, in 1898, while studying the competitive nature of children, he found that children were much faster at completing their given activity (winding string) while they were competing, which caused him to wonder whether or not simply having another individual there would have the same effect. To determine this, Triplett studied the race time of cyclists and found that cyclists had faster race times when in the presence of other cyclists. He theorized that the faster times were because the presence of others made individuals more competitive, and further research led Triplett to theorize that the presence of others increases individuals' performances in other noncompetitive situations as well.
In 1924, Floyd Allport, coined the term social facilitation. Allport conducted studies in which participants sat either alone or with other participants and did a variety of tasks such as word association tasks and multiplication assessments. He found that people performed better when in a group setting than when alone for the majority of tasks. However, at this time, social facilitation simply meant an "increase in response merely from the sight or sound of others making the same movement."
Hazel Markus of the University of Michigan conducted an experiment to test the hypothesis that the mere presence of others can influence an individual's performance. A task that lacked a rubric structure and was likely to cause the subject to be apprehensive of how they would be evaluated was used. Performance times on the task of dressing and undressing in familiar and unfamiliar clothing were compared with subjects working alone, working in the presence of a passive inattentive person, and working in the presence of an attentive spectator. Compared to the alone condition, both social conditions (audience and incidental audience) enhanced performance on the well-learned aspects of the task of dressing and undressing with the subject's own familiar clothing and hindered the subject's performance on the more complex aspects of the task of dressing and undressing using unfamiliar clothing. It was concluded that the presence of others is a sufficient condition for social facilitation and social interference effects. Therefore, the presence of an audience causes an individual to do better on a simple task or worse on a more complicated task.
In a 2010 study, donation rates increased with the presence of observers, and neuroimaging revealed that the presence of observers significantly affected activation in the ventral striatum before the choice of whether or not to donate.
In Raefeli's meta-analysis of the social facilitation phenomenon in 2002, three conclusions are made. Firstly, the presence of others heightens an individual's physiological arousal only if the individual is performing a complex task. Moreover, the mere presence of others increases the speed of simple task performance and decrease the speed of complex task performance. Lastly, social facilitation effects are surprisingly unrelated to the performer's evaluation apprehension.
A study was done in 2014 that compared the performance of individuals with Autism Spectrum Disorder (ASD) to typically developing (TD) individuals on a task with the presence of another. The experiment conducted tested the hypothesis that an individual with ASD, will respond to the presence of experimenters, thus altering the results of the experiment.
Major theoretical approaches
The major three approaches to social facilitation are the activation, evaluation, and attention theories. The activation theory describes how our arousal relates to social facilitation. The evaluation theory discusses how being assessed by an audience affects to social facilitation. The attention theory takes into account the effect of distractions in the environment on social facilitation.
In 1956, Robert Zajonc was trying to figure out why some studies showed people's performance being hindered by the presence of others rather than being made more accurate. He designed an experiment that would examine the performance of someone doing a simple vs. complex task in front of others. He found that, when people were performing a simple task in the presence of others, they could complete it with greater accuracy than when they were alone. This was something most psychologist were aware of at this time. However, what Zajonc found that was revolutionary in this time period was that, when people attempt to perform tasks which are more complex or with which they are not familiar, they complete it with less accuracy when in the presence of others than when they alone. Thus, social inhibition was born.
In 1965, Robert Zajonc developed the stern activation theory, by proposing his generalized drive hypothesis for social facilitation. Zajonc's generalized drive hypothesis was the first theory that addressed why the presence of others increased performance sometimes yet decreased it at other times. He argued that the presence of others serves as a source of arousal, and heightened arousal increases the likelihood of an organism to do better on well-learned or habitual responses. For this reason, arousal improves performance on simple, or well-learned tasks, but impairs performance on complex, or not well-learned tasks. Zajonc's reasoning was based on Yerkes-Dodson's law, which holds that performance works like an inverse "U" function. This means that an individual's optimal drive is higher for simpler, or well-practiced tasks, and that the same individual's optimal drive is lower for more complex, or less-practiced tasks. The presence of other people further arouses us and increases our drive level, and so an individual's performance will be enhanced if a task is simple (because of the high levels of energy) but diminished if the task is complex. He tested his theories by having people complete word association tasks alone and again in the presence of others, and found that the tasks were done much faster while in the presence of others.
Other activation theories include the alertness hypothesis, the monitoring hypothesis, and the challenge and threat hypothesis.
The alertness hypothesis says that people are uncertain of how observers will act while in the presence of others, so they become more alert (because the performer will be uncertain about how the observers will act in the situation). It is this heightened alertness which causes them to perform better on tasks.
The monitoring hypothesis posits that social facilitation effects do not occur when the performer is familiar with the observers or the situation. This is because, in those cases, the performer knows how the observer will respond or how the situation will take place. Therefore, in such situations the performer's arousal will not increase. So, if the person is unfamiliar with the observers or the situation, he/she will experience uncertainty and arousal will increase, but not if he/she is familiar with them.
Challenge and threat hypotheses
The challenge and threat hypothesis states that people perform worse on complex tasks and better on simple tasks when in the presence of others because of the type of cardio-vascular response to the task. When performing a simple task in the presence of others, people show a normal cardiovascular response. However, when performing a complex task in the presence of others, the cardiovascular response is similar to that of a person in a threatening position. The normal cardiovascular response serves to improve performance, but the threat-like cardiovascular response serves to impede performance.
In 1968, Henchy and Glass proposed the evaluation approach to social facilitation. Their evaluation apprehension hypothesis states that it is not the mere presence of others that increases individual activation/arousal, but rather the fear of being evaluated by an audience. They studied the reactivity of male high school and college students, where their responses were based on the strength they developed through prior training, and found that the groups who felt their performance was being evaluated had more dominant responses than the groups who were simply in the presence of an audience without being evaluated, or those that were alone.
Learned drive hypothesis
A further extension of the evaluation approach is the learned drive hypothesis, which was developed by Cottrell, Wack, Sekerak, and Rittle, and states that activation only increases when actors feel that the audience is capable of evaluating their performance. In other words, it implies that the cause of evaluation apprehension comes from a learned audience. They studied how a participant performed on well-learned tasks while in the presence of an audience focused on another event, and in the presence of an audience focused on the tasks being performed. They found that participants performing in the latter group, with the audience that was focused on what the participants were doing, largely gave dominant responses.
Weiss and Miller furthered developed the evaluation approach by hypothesizing that activation only increases when the actors fear a negative evaluation. This theory suggests that activation increases when the audience or other competitors cause negative feelings, such as anxiety, in the actor. However, Good's development of evaluation apprehension takes the opposite approach, where he hypothesizes that activation increases when actors expect a positive evaluation.
Because of the conflicting theories under the evaluation approach, there has been controversy over its reliability. A meta-analysis done by Bond found that even when individuals are in the presence of a non-visible or non-evaluative audience, activation still occurs for an increase in dominant responses.
In the 1980s, explanations shifted from activation theories to attention theories, which imply that withdrawal from some things is necessary in order to deal effectively with others. Attention theories that explain social facilitation include the distraction-conflict hypothesis, the overload hypothesis, the feedback-loop model, and the capacity model.
In his distraction-conflict hypothesis, Robert Baron proposed that the level of performance on a task is predicted by the amount of distractions in the environment surrounding the task. The hypothesis states that distraction leads to arousal, so the presence of others always impedes performance on difficult tasks, but the number of distractions in the environment either improves or impedes the performance on simple tasks.
The overload hypothesis works according to the distraction-conflict hypothesis, saying that distracters do not lead to increased arousal, but rather to cognitive overload (when an individual is bombarded with excessive information in their working memory), and while in cognitive overload, individuals will do worse on complex tasks and better on more simple tasks. Performance increases on simple tasks because the performers focus their attention on the new stimuli, instead of the irrelevant stimuli that is characteristic of simple tasks. Performance decreases on complex tasks because the performers focus on the distracters, but also need to focus on the relevant stimuli that are characteristic of complex tasks, and they cannot handle all of the information they are being presented with.
The feedback-loop model postulates that when people feel they are being observed, they focus attention on themselves. While in this state, individuals become aware of the differences between their actual behavior and anticipated behavior. So, by feedback-loop model, people do better in the presence of others because of this increased awareness about their behavior.
The capacity model of social facilitation focuses on the role of types of information processing on performance in front of an audience, rather than the performance on different type of tasks (simple or complex) in front of an audience. The capacity model suggests that for tasks that require automatic information processing, the presence of others does not cause problems because the short-term memory is not required for automatic information processing, so performance quality increases. However, for tasks that require controlled information processing, the presence of others does impede the level of performance because the short-term memory is necessary to both focus attention on the audience, as well as the task at hand.
The self-presentation approach to social facilitation has two main theories: one regarding arousal or drive, and one without. The first theory argues that in the presence of an audience, individuals become concerned with self-presentation. The possible embarrassment that occurs with negative evaluation leads to activation of arousal, or increased drive which will cause more dominant effects. The second theory argues that it is not an issue of arousal, but rather of simple responses, because the individual wants to appear competent in the presence of others. If the task is easy, the individual will want to make him/herself appear even more competent by doing exceptionally well on the task. However, if the task is difficult, they will fear that they will present themselves as incompetent, which will in turn make them embarrassed, and further impede their performance.
However, there has not been significant research done or evidence supporting the self-presentation approach. The main study looking at this approach was done by Bond in 1982, but it did not include independent measures of self-presentation, so it was not able to conclusively prove the validity of this approach.
Major empirical findings
In 1898, Norman Triplett pioneered research on social facilitation by studying the competitive nature of children. In this study, each child was given a string and was told to wind it. He found that children performed much better while they were competing with one another, and further research led Triplett to theorize that the presence of others increases individuals' performances in other noncompetitive situations as well.
In 1973, Chapman ran an experiment and found that levels of laughter among 7–8 year-old children were highest when two children listened to funny material together (coaction condition). Furthermore, levels of laughter were higher when one child listened to funny material in the presence of another child (audience condition) than when one child listened to the funny material alone (alone condition). These results indicate that laughter is also socially facilitated.
In 1994, De Castro demonstrated that social facilitation affects food intake by extending the time spent eating a meal. His results also showed that the presence of family and friends, in comparison with the presence of mere companions, increases food intake to a greater degree, possibly due to the "release of inhibitory restraints on intake" that occurs when people feel more comfortable around people they are familiar with. Furthermore, males ate 36% more food when with other people than when alone, and females ate 40% more food when with other people than when alone. De Castro attributes this to the time-extension model of social facilitation, as the time spent at a meal increased when the meal was a social occasion. These results suggest that the presence of other people at a meal increases intake by extending the time spent at the meal, probably as a result of social interaction, and that family and friends have an even larger effect, probably by producing relaxation and a consequent disinhibition of restraint on intake. Furthermore, these results also suggest that social facilitation has very similar effects on both men and women.
In 1920, when asked to write out as many words as possible in response to a given word, 93% of participants produced more words in the presence of another person than alone. However, when this study was replicated with individuals who stuttered when they spoke, 80% of the participants produced more words when alone rather than in the presence of another person.
Lee Edward Travis conducted a study to find what kind of effect an audience has on an individual. Travis used an eye–hand coordination test (holding a flexible pointer on a revolving target) for his study. Twenty freshmen males, one sophomore male, and one junior male were used as the subjects. The small audience consisted of four to eight upper classmen and graduate students and was an equal number of men and women. Each observer practiced in the presence of the experimenter, and their learning curve was plotted each day. When the subject attained his maximum efficiency, the passive audience was brought in. Some of the subjects showed superior coordination when the audience was present.
In June 1980, Forgas et al. conducted a field study of audience effects, looking at the performance of expert and novice squash players when observed by no audience, a male audience, and a female audience. Contrary to Zajonc's drive-arousal theory, it was found that the effect of an audience on performance did not differ significantly between novice and expert players. This indicates that the other factors, such as cognitive variables and players' interpretation of the audience's presence, also influence players' reactions to the presence of an audience in a natural setting.
In 1982, people playing pool were being surreptitiously watched in order to identify skilled and unskilled players. Skilled players made at least two-thirds of their shots whereas unskilled players missed at least two-thirds of their shots. When the observer moved closer to the pool table and continued to watch, skilled players' performance improved by 14% and the unskilled players' performance dropped by more than 30%.
In 2007, Rosenbloom et al. studied archival data from Jerusalem in 2004 and found that the presence of an additional person in the car during a driving license test decreased the likelihood that the testee would pass the driving test. Although the nature of the study made it impossible to distinguish one explanation of social facilitation from another, the findings generally support the basic premise of social facilitation theory.
In 2008, college students were given a list of words and told to copy them as quickly as they could. The "easy task" was to write out one list with their dominant hand and the "hard task" was to write out another list with their nondominant hand. While completing the task, they were in the presence of an image of their favorite television personality (displayed on a computer screen) or an image of another character from the same show. When given the easy task, they wrote more words in the presence of their favorite character and when given the hard task, the favorite character inhibited their performance. As shown, while the college students were given tasks, their favorite television characters are perceived as "real" in a social facilitation paradigm which gives evidence as to how social facilitation can affect performance.
In 2008, Hill, Hanton, Matthews, and Fleming studied sub-optimal performance in spots, also known as the phenomenon of "choking". They determined that when individuals were worried about negative evaluations by the audience, and performing tasks that they were not familiar with, they often would perform at a lower level than when they did without an audience.
In 2011, Hanley, Snyder, Nimon, and Arciero found that older adults riding "cybercycles", virtual-reality enhanced stationary bikes with interactive competitions, exercised at higher rates than adults riding stationary bikes.
In 2012, Muryama and Elliot conducted a meta-analysis where they found that the effects on performance commonly attributed to competition are actually due to performance goals. Competition prompts either performance-approach goals, which are what facilitate performance improvements, or performance-avoidance goals, which undermine performance.
Social facilitation in animals is when the performance of a behaviour by an animal increases the probability of other animals also engaging in that behaviour or increasing the intensity of the behaviour. In 1969, Zajonc, Heingartner, and Herman demonstrated that social facilitation occurs not only in humans, but also in species with limited or no cognitive processing. They observed that it takes a cockroach a longer time to complete a complex maze in the presence of other cockroaches than when alone. They also observed that in a simple, straight runway, a cockroach reaches the end of the runway faster in the presence of other cockroaches than when alone. This experiment lends support to the theory that physiological arousal resulting from the presence of others leads to similar social facilitation effects in animals as well.
In 2009, Dindo, Whiten, and de Waal studied the effect of social facilitation in capuchin monkeys. The monkeys in this study were required to complete a new foraging task, either alone or in a social group. While both sets of monkeys completed the task, those in the social group completed it three times faster than those monkeys that were alone. This increase in speed was attributed to "observational learning and synchronization of behavior between group mates."
Electronic performance monitoring
Researchers have used electronic performance monitoring (EPM) to examine the effects of social facilitation. This trend had previously been limited to face-to-face or group settings, but electronic performance monitoring establishes the impact of social facilitation in a virtual sense. EPM is the utilization of information technologies (e.g. computer networks) to track, evaluate, analyze, and report information regarding an employee's performance. Many businesses have adopted this method in which workers activity is automatically monitored throughout the workday. This topic is of substantial interest to those in the field of social psychology due to underlying mechanism at work; namely, the phenomenon of social facilitation.
One study found that EPM did enhance productivity, but only in ways that are consistent with the effects of social facilitation. Employees working on a data entry task were monitored while working alone, with others, or as part of a cohesive group. Results indicated that EPM improved the performance of highly skilled workers, but interfered with the performance of those who were less skilled. Moreover, with the exception of those working in a cohesive group, monitoring was found to increase workers' feelings of stress and anxiety. On the other hand, participants responded more favorably to performance monitoring when they believed that they could turn off the monitoring and that only their job-related activities were being evaluated. Also, EPM was viewed more positively when workers were given the opportunity to participate in decisions regarding the use of the system. Results support that the effect of social facilitation is not just limited to the physical presence of others, but also extends to presence in a virtual sense as well.
In 2009, Thompson, Sebastienelli and Murray conducted an experiment to determine the effect of electronic monitoring on students who used web-based training to learn new online search skills. They found that participants who were explicitly told that their training was being monitored performed markedly worse on a post-training skills test than participants who were unaware that their training was being monitored. These findings adhere to the basic premise of social facilitation and reveal that the heightened awareness of evaluation on complex tasks significantly hinders performance.
In educational settings
Groups are formed in a variety of educational settings around the world. Some examples include a group of physics students completing a laboratory exercise, a team of touch rugby players, a set of high school prefects, a group of students formed to brainstorm ideas for energy saving techniques, and study groups.
Some groups enhance members' motivation and help students stay focused on their academic goals. However, a study group may inhibit the acquisition of new information, concepts, and skills, as the presence of others can be distracting. These distractions can interfere during the early phases of learning, both in overt and covert practicing. In a study in which participants had to learn a list of words, they were too embarrassed to rehearse the material out aloud and as a consequence of this group pressure, their performance suffered.
Zajonc suggested that the student study alone, preferably in an isolated cubicle, and arrange to write examinations surrounded by many other students, on stage, and in the presence of a large audience. The results of the examination would be beyond the student's wildest expectations, assuming that the material had been thoroughly learned beforehand.
Contributing factors to the audience effect could include what kind of crowd is present, such as a supportive crowd (e.g., the crowd at a team's home ground) or a hostile crowd (e.g., the crowd when a team is playing an away game). Also, the proximity of the crowd or the size of the crowd could influence the result of the audience effect. More factors such as nature of the task, coping skills with potential negative effects of audience, and even the playing venue (home or away) could be things to consider when examining the audience effect.
Social facilitation is a widespread phenomenon in society. Many public tasks demonstrate the effects, both the costs and benefits, of social facilitation. From taking exams in a high school or college environment to performing in sporting events, people may perform better or fall short depending on the task's complexity. In many experiments, people display signs of social facilitation even in everyday tasks, such as driving. This effect can even be seen in animals, as displayed by Zajonc, Heingarter, and Herman's study on cockroaches.
Business can also use social facilitation to their advantage, specifically in online auctions, which takes into the account the emergence of instant messaging and communication availability technologies. The interaction between buyers and sellers in traditional, face-to-face markets creates phenomena such as social facilitation, where the presence of others impacts behaviour and performance. In the study involving Java-based Internet Dutch auction, the findings indicated that social facilitation does indeed occur and participants improve their results and stay longer in the auction under conditions of higher virtual presence. Participants also indicate a preference for auction arrangements with higher degrees of virtual presence.
Social facilitation's definition and explanations are not without controversy. Social psychologists first debate whether social facilitation in humans can be through mere presence, or whether it must be through evaluation. It was concluded that although the influence of the mere presence of others can be easily concealed by many other complex social factors, it is one of the variables that contributes to the power of others to influence an individual's performance.
One of the greatest controversies surrounding social facilitation is its origination. Psychologists continue to debate whether social facilitation is adopted through the innate biology of humans and animals, or through social learning, either from interaction with society or from individual interaction with other people, and not society in general. Further research and expansion of experiments and theories may begin to resolve, or further complicate, these issues.
In light of certain weaknesses and inadequacies of drive theory explanation, social facilitation is argued to be in need for a more cognitive approach. A more cognitive model constructed in an expectancy theory framework is shown as a plausible alternative explanation for employee performance and the effects of social facilitation. While there is not much evidence presented by this controversy it is recommended that direction of future research should test this model.
Furthermore, there is difficulty in determining which social facilitation approach is the most accurate. The biggest conflict comes between the activation (or mere presence) and evaluation approaches, with the activation approach stating that the mere presence of an audience leads to social facilitation, and the evaluation approach stating that it is the fear of being judged by a capable audience that leads to social facilitation. Despite the two clearly conflicting schools of thought, researchers have not been able to conclusively prove which one is correct.
|Wikiversity has learning resources about Social facilitation|
- Strauss, Bernd (July 2002). "Social facilitation in motor tasks: a review of research and theory". Psychology of Sport and Exercise. 3 (3): 237–256. doi:10.1016/S1469-0292(01)00019-x.
- Kirby, L. (2011, March 17). Group Processes. Lecture presented to Social Psychology Course at Vanderbilt University, Nashville, TN.
- Aiello, John R.; Douthitt, Elizabeth A. (2001). "Social Facilitation From Triplett to Economic Performance Monitoring" (PDF). Group Dynamics: Theory, Research, and Practice. 5 (3): 163–180. doi:10.1037/1089-2622.214.171.124. Retrieved 13 November 2014.
- Zajonc, Robert B. (July 16, 1965). "Social Facilitation". Science. American Association for the Advancement of Science. 149 (3681): 269–274. JSTOR 1715944. doi:10.1126/science.149.3681.269.
- Markus, Hazel (1978). "The Effect of Mere Presence on Social Facilitation: An Unobtrusive Test" (PDF). Journal of Experimental Social Psychology. 14 (4): 389–397. doi:10.1016/0022-1031(78)90034-3. Retrieved 13 November 2014.
- Izuma, Keise; Saito, Daisuke N.; Sadato, Norihiro (April 2010). "Processing of the Incentive for Social Approval in the Ventral Striatum during Charitable Donation". Journal of Cognitive Neuroscience. MIT Press. 22 (4): 621–631. doi:10.1162/jocn.2009.21228.
- Rafaeli, S; Rafaeli, S.; Noy, A.; Correspondence (September 2002). European Journal of Information Systems, Volume 11, Number 3: 196-207.
- Chevallier, C; Parish-Morris, J; Tonge, N; Le, L; Miller, J; Schultz, R.T. (2014). "Susceptibility to the audience effect explains performance gap between children with and without autism in a theory of mind task". Journal of Experimental Psychology. 143: 972–979. doi:10.1037/a0035483. Retrieved September 28, 2015.
- "Evaluation apprehension and the social facilitation of dominant and subordinate responses.". APA PsycNET. Retrieved 2015-11-30.
- Blascovich, Mendes, Hunter, Jim, Wendy, Sarah. "Journal of Personality and Social Psychology" (PDF).
- Paulus, Paul (2012-12-06). Basic Group Processes. Springer Science & Business Media. ISBN 9781461255789.
- Bond, C. F.; Titus, L. J. (1983). "Social facilitation: a meta-analysis of 241 studies". Psychological Bulletin. 94 (2): 265. doi:10.1037/0033-2909.94.2.265.
- "Cognitive overload · Foviance." Foviance · customer experience, usability, web analytics, accessibility & user research consultancy based in London, UK. N.p., n.d. Web. 24 Apr. 2011
- Guerin, Bernard; Innes, John (2009-09-17). Social Facilitation. Cambridge University Press. ISBN 9780521119795.
- Chapman, Antony J. (1973). "Social Facilitation of Laughter in Children". Journal of Experimental Social Psychology. 9 (6): 528–541. doi:10.1016/0022-1031(73)90035-8.
- De Castro, John M. (1994). "Family and friends produce greater social facilitation of food intake than other companions". Physiology & Behavior. 56 (3): 445–455. doi:10.1016/0031-9384(94)90286-0.
- Skitka, Mosier, Burdick, Rosenblatt, Linda J., Kathleen L., Mark, Bonnie (2000). "Automation Bias and Errors: Are Crews Better Than Individuals?" (PDF). THE INTERNATIONAL JOURNAL OF AVIATION PSYCHOLOGY.
- Travis, L.E. (1928). "The influence of the group upon the stutter's speed in free association". Journal of Abnormal and Social Psychology. 23 (1): 45–51. doi:10.1037/h0074512.
- Travis, Lee Edward (July 1925). "The effect of a small audience upon eye-hand coordination" (PDF). Journal of Abnormal and Social Psychology. 20 (2): 142–146. doi:10.1037/h0071311. Retrieved 13 November 2014.
- Forgas, Joseph P.; Brennan, Greg; Howe, Susan; Fane, John F.; Sweet, Shirley (June 1980). "Audience Effects on Squash Players' Performance". The Journal of Social Psychology. 111 (1): 41–47. ISSN 0022-4545. doi:10.1080/00224545.1980.9924271.
- Michaels, J.W.; Blommel, J.M.; Brocato, R.M.; Linkous, R.A. & Rowe, J.S. (1982). "Social facilitation and inhibition in a natural setting". Replications in social psychology. 2: 21–24.
- Rosenbloom, Tova; Shahar, Amit; Perlman, Amotz; Estreich, Dov; Kirzner, Eyal (November 2007). "Success on a practical driver's license test with and without the presence of another testee". Accident Analysis & Prevention. 39 (6): 1296–1301. PMID 17920854. doi:10.1016/j.aap.2007.03.015.
- Gardner, Wendi L.; Knowles, M.L.; Megan, L. (2008). "Love makes you real: Favorite television characters are perceived as 'real' in a social facilitation paradigm". Social Cognition. 26 (2): 156–168. doi:10.1521/soco.2008.26.2.156.
- Hill, Denise M.; Hanton, Sheldon; Matthews, Nic; Fleming, Scott (2010-03-01). "Choking in sport: a review". International Review of Sport and Exercise Psychology. 3 (1): 24–39. ISSN 1750-984X. doi:10.1080/17509840903301199.
- Anderson-Hanley, Cay; Snyder, Amanda L; Nimon, Joseph P; Arciero, Paul J (2011-01-01). "Social facilitation in virtual reality-enhanced exercise: competitiveness moderates exercise effort of older adults". Clinical Interventions in Aging. 6: 275–280. ISSN 1176-9092. PMC . PMID 22087067. doi:10.2147/CIA.S25337.
- "The competition–performance relation: A meta-analytic review and test of the opposing processes model of competition and performance.". APA PsycNET. Retrieved 2015-11-30.
- Zajonc, Robert B.; Heingartner, Alexander; Herman, Edward M. (1969). "Social Enhancement and Impairment of Performance in the Cockroach". Journal of Personality and Social Psychology. 13 (2): 83–92. doi:10.1037/h0028063.
- Dindo, Marietta; Whiten, Andrew; de Waal, Frans B. M. (23 February 2009). "Social facilitation of exploratory foraging behavior in capuchin monkeys (Cebus apella)" American Journal of Primatology 71 (5): 419–426. doi:10.1002/ajp.20669
- Gillies, R.M. (2007). Cooperative learning: Integrating theory and practice. Thousand Oaks, CA: Sage.
- Berger, Seymour M.; Hampton, Katherine L.; Carli, Linda L.; Grandmaison, Paul S.; Sadow, Janice S.; Donath, Clifford H.; Herschlag, Laura R. (1981). "Audience-Induced Inhibition of Overt Practice During Learning". Journal of Personality and Social Psychology. 40 (3): 479–491. doi:10.1037/0022-35126.96.36.1999.
- Kim, Do-Yeong; Park, Junsu (2010). "Cultural differences in risk: The group facilitation effect". Judgment and Decision Making. 5 (5): 380–390.
- Beehr, Terry A.; Ferris, Gerald R.; Gilmore, David C. (1978). "Social Facilitation: A Review and Alternative Conceptual Model". The Academy of Management Review. 3 (2): 338–347. JSTOR 257673.