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Combination Rules in Information Integration

Combination Rules in Information Integration
信息集成中的组合规则
批准号:
ES/K004948/1
负责人:
Adam Sanborn
金额:
$34.76万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
The decisions that people make often show peculiar biases, especially when combining information together. Let's say that you are a juror in a murder trial. The prosecution presents you with two pieces of evidence: an eyewitness who claims to have seen the defendant at the scene of the crime and an expert who matched the fingerprints on the murder weapon to the defendant. Both pieces of evidence strongly implicate the defendant, but neither is perfect. Surprisingly we've found, using a more controlled laboratory task, that the impression of the guilt of the defendant does not increase with the second piece of evidence. If a participant in the experiment thought that there was a 75% chance of guilt based on one pieces of evidence, they still believed that there was a 75% chance of guilt based on two pieces of evidence.However, we do not always combine information incorrectly -- the rule we use to combine information is malleable. An example of this comes if we reframe the murder case as a perceptual task. Instead of determining guilt or innocence, let's say we are concerned with whether someone made a "ba" or "pa" sound. And if instead of evaluating two witnesses, let's say that we are presented with a video of a mouth moving and an audio clip. This is the same problem as the murder case example, but here people combine information correctly. If the information is presented to people "cognitively", as separate pieces of text, they combine it incorrectly. If the information is presented "perceptually", as different parts of the same image, they combine it correctly.Other researchers have looked at when people combine information differently, but have used different manipulations in different tasks with different stimuli. In our pilot work, we made the murder case and sound identification task as similar as possible using the same set of stimuli and still found that people combined information very differently. Our overall goal is to develop a unified understanding of in what drives people to combine information correctly or incorrectly by exploring a variety of tasks using a common set of stimuli and manipulations.In addition to our overall goal, we have some specific aims for this research. Our first aim is to investigate why changing the presentation between the extremes of the murder trial and sound identification tasks affects how we combine information. These manipulations should tell us whether the difference is due to having a better perceptual rather than cognitive system, whether it is due to having more experience with the perceptual task, or whether people have particular assumptions about where the information comes from.Our second aim is to understand how people combine information about how risky an investment is and how much potential reward could be gained. Though investors often have to choose between investments, researchers do not know whether people combine risk and reward correctly in this task. Once we have determined what type of rule people are using, we see if the murder trial/sound identification task manipulations have the same effect here - whether people have common mechanisms for choosing combination rules in the two tasks.Although people often do not integrate information correctly, their strategy might in fact be optimal given their uncertainty about the correct integration rule. Statistically, if one is unsure of the correct rule, the best strategy to get close to the true answer is to average estimates from candidate rules. Our third aim is to test whether people are in fact behaving optimally in the face of uncertainty about integration rules.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Risky decision making: Testing for violations of transitivity predicted by an editing mechanism
有风险的决策:测试编辑机制预测的传递性违规
DOI: --
发表时间: 2016
期刊: Judgment and Decision Making
影响因子: 2.5
作者: [Birnbaum, M. H.]
通讯作者: Birnbaum, M. H.
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者: [Hunt, S.]
通讯作者: Hunt, S.
DOI: 10.1371/journal.pone.0095209
发表时间: 2014
期刊: PloS one
影响因子: 3.7
作者: [Noguchi T, Stewart N, Olivola CY, Moat HS, Preis T]
通讯作者: Preis T
Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation.
为什么更高的工作记忆容量可以帮助您学习:采样、搜索和近似度。
DOI: 10.1111/cogs.12805
发表时间: 2019
期刊: Cognitive science
影响因子: 2.5
作者: [Lloyd K]
通讯作者: Lloyd K
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