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Dynamics of Applause: Modeling Group Phenomena Through Agent Interaction Gary Lupyan ([email protected]) Center for Neural Basis of Cognition 4400 5th Ave. Pittsburgh, PA 15207 USA Ilya Rifkin ([email protected]) Department of Computer Science. Cornell University Ithaca, NY 14853 USA Unlike many social conventions that proved to be passing fads, applause appears to be a remarkably stable facet of human culture. Although its mani- festations have varied from the fluttering of fans of Victorian ladies, to hearty overhead clapping and cat- calls of less “refined” concert-goers, the desire to ex- press approval through a culturally-specified display has been in existence for millennia. Demonstrating the perceived importance of applause, French theater and opera companies of the 1800s hired claques, pro- fessionals who led others in applause to secure encores and educate audiences on the finer points of the per- formance. Using a dynamic game theory model, the present work looks at how applause dynamics emerge from the interaction of individual desires. What are the benefits that drive applause? What are the costs that work to end it? How do the costs and benefits of an individual interact with those of others in the au- dience? Despite some simplifying assumptions made in the present model, it offers robust predictions of applause in audiences of varying sizes responding to events of varying levels of “impressiveness.” More gen- erally, this work demonstrates how a complex social behavior can be modeled with few assumptions and free parameters. Procedure The benefit of applause was taken to be the emotional benefit of expressing appreciation. This benefit was proportional to the impressiveness of the event. The costs were twofold. An em- barrassment cost was calculated based on randomly- generated “embarrassment thresholds” assigned to each agent. This was based on the intuition that some individuals are more easily embarrassed than others and will hesitate to applaud unless others are also clapping. The embarrassment cost at a given time was inversely proportional to the percentage of audience members applauding. The second cost was the phys- ical cost of applause, which built up proportionately to the time spent applauding. An agent clapped when the desire to express their appreciation outweighed the embarrassment and physical costs, and ceased clap- ping when the costs outweighed the benefit. A typical sequence of events in response to an event is as follows: 1. An event of a particular impressiveness value occurs. 2. People with low embarrassment thresholds (those not easily embarrassed) begin to applaud and lower the embarrassment cost for others in the audience. 3. If the decrease in the embarrassment cost is not enough to cause other agent to clap, the clapping quickly dies down due to an increase in physical costs. 4. Otherwise, the decrease in embarrassment causes other agents to begin clapping, which in turn causes a cascade of applause. 5. As the physical cost of continued applause begins to outweigh the benefit of showing one’s appreciation, individuals stop clapping raising embarrassment costs for others in the audience, eventually causing everyone to cease applauding. 0 5 10 15 20 25 0 0.2 0.4 0.6 0.8 1 0.0 0.2 0.4 0.6 0.8 1.0 Duration of Applause (arbitrary units) Proportion Clapping "Impressiveness" of Event Duration Proportion Figure 1: Effect of impressiveness on proportion of audience clapping and duration of applause. Results We started out with two basic hypothe- ses: Applause starts quicker than it ends. If an ap- plauder is not joined by others, they typically stop clapping. These hypotheses come from observations of audiences; the first is also supported by analysis of digitized recordings of actual applause. Both hypothe- ses were accurately supported by the model. The model furthermore made predictions regarding effects of event impressiveness and audience size on applause dynamics. Events of low impressiveness predictably result in few individuals clapping for a short time. Be- yond a certain ”impressiveness threshold,” virtually everyone starts applauding. Further increases in im- pressiveness yield longer applause times of the whole audience (see Fig. 1). The effect of audience size is more subtle. For events of high impressiveness, audi- ence size proved to have no effect—everyone applauds in all audiences. For events of lower impressiveness, however, smaller groups behaved more erratically, oc- casionally breaking out into universal applause, while at other times not breaking the 50% mark. These pre- dictions have all been confirmed through observation of applauding audiences. 1378

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Page 1: Dynamics of Applause: Modeling Group Phenomena Through ...csjarchive.cogsci.rpi.edu/Proceedings/2003/pdfs/310.pdf · applause in audiences of varying sizes responding to events of

Dynamics of Applause: Modeling Group Phenomena ThroughAgent Interaction

Gary Lupyan ([email protected])Center for Neural Basis of Cognition

4400 5th Ave. Pittsburgh, PA 15207 USA

Ilya Rifkin ([email protected])Department of Computer Science. Cornell University

Ithaca, NY 14853 USA

Unlike many social conventions that proved to bepassing fads, applause appears to be a remarkablystable facet of human culture. Although its mani-festations have varied from the fluttering of fans ofVictorian ladies, to hearty overhead clapping and cat-calls of less “refined” concert-goers, the desire to ex-press approval through a culturally-specified displayhas been in existence for millennia. Demonstratingthe perceived importance of applause, French theaterand opera companies of the 1800s hired claques, pro-fessionals who led others in applause to secure encoresand educate audiences on the finer points of the per-formance. Using a dynamic game theory model, thepresent work looks at how applause dynamics emergefrom the interaction of individual desires. What arethe benefits that drive applause? What are the coststhat work to end it? How do the costs and benefits ofan individual interact with those of others in the au-dience? Despite some simplifying assumptions madein the present model, it offers robust predictions ofapplause in audiences of varying sizes responding toevents of varying levels of “impressiveness.” More gen-erally, this work demonstrates how a complex socialbehavior can be modeled with few assumptions andfree parameters.Procedure The benefit of applause was taken tobe the emotional benefit of expressing appreciation.This benefit was proportional to the impressivenessof the event. The costs were twofold. An em-barrassment cost was calculated based on randomly-generated “embarrassment thresholds” assigned toeach agent. This was based on the intuition that someindividuals are more easily embarrassed than othersand will hesitate to applaud unless others are alsoclapping. The embarrassment cost at a given time wasinversely proportional to the percentage of audiencemembers applauding. The second cost was the phys-ical cost of applause, which built up proportionatelyto the time spent applauding. An agent clapped whenthe desire to express their appreciation outweighed theembarrassment and physical costs, and ceased clap-ping when the costs outweighed the benefit.

A typical sequence of events in response to an eventis as follows:

1. An event of a particular impressiveness value occurs.

2. People with low embarrassment thresholds (those not easilyembarrassed) begin to applaud and lower the embarrassment costfor others in the audience.

3. If the decrease in the embarrassment cost is not enough tocause other agent to clap, the clapping quickly dies down due to anincrease in physical costs.

4. Otherwise, the decrease in embarrassment causes other agentsto begin clapping, which in turn causes a cascade of applause.

5. As the physical cost of continued applause begins to outweighthe benefit of showing one’s appreciation, individuals stop clappingraising embarrassment costs for others in the audience, eventuallycausing everyone to cease applauding.

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0 0.2 0.4 0.6 0.8 10.0

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n of

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laus

e(a

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"Impressiveness" of Event

DurationProportion

Figure 1: Effect of impressiveness on proportion ofaudience clapping and duration of applause.

Results We started out with two basic hypothe-ses: Applause starts quicker than it ends. If an ap-plauder is not joined by others, they typically stopclapping. These hypotheses come from observationsof audiences; the first is also supported by analysis ofdigitized recordings of actual applause. Both hypothe-ses were accurately supported by the model. Themodel furthermore made predictions regarding effectsof event impressiveness and audience size on applausedynamics. Events of low impressiveness predictablyresult in few individuals clapping for a short time. Be-yond a certain ”impressiveness threshold,” virtuallyeveryone starts applauding. Further increases in im-pressiveness yield longer applause times of the wholeaudience (see Fig. 1). The effect of audience size ismore subtle. For events of high impressiveness, audi-ence size proved to have no effect—everyone applaudsin all audiences. For events of lower impressiveness,however, smaller groups behaved more erratically, oc-casionally breaking out into universal applause, whileat other times not breaking the 50% mark. These pre-dictions have all been confirmed through observationof applauding audiences.

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