在搜索中逐渐优先考虑目标:奖励减少了低流行率效应
Veronica Hadjipanayi1, Casimir J H Ludwig2, Christopher Kent2
1University of Bristol, Bristol, UK. vh16016@bristol.ac.uk.
Cognitive research: principles and implications
|August 4, 2023
概括
不平等的奖励可以减少流行效应,使在视觉搜索任务中更容易找到罕见的目标. 这一发现对于提高医疗成像和安全查等关键领域的准确性至关重要.
科学领域:
- 认知心理学 认知心理学
- 人类的感知 人类的感知
- 决策 决策 决策 决策
背景情况:
- 视觉搜索任务通常涉及识别罕见的目标,如瘤或危险物品.
- 患病率效应描述了错过这些罕见目标的趋势,影响公共健康和安全.
- 了解调节搜索效率的因素对于现实应用至关重要.
研究的目的:
- 调查不平等的奖励分布是否会影响多个目标视觉搜索任务中的流行效应.
- 检查在搜索性能中目标流行率和奖励大小之间的相互作用.
- 为了确定差异性奖励是否可以减轻稀有物品的不足检测.
主要方法:
- 进行了实验,以确定流行率和奖励对搜索效率的独立影响.
- 参与者在目标稀有性和奖励的不同条件下执行了多个目标视觉搜索任务.
- 该研究比较了在平等与不平等的奖励分布下搜索性能 (响应时间,错误率).
主要成果:
- 目标患病率显著影响了搜索效率,证实了患病率效应.
- 不平等的奖励分配,比较罕见的物品得到更高的奖励,减少了流行效应.
- 当罕见的目标提供更高的奖励时,参与者表现出更快的响应时间和更少的失误.
结论:
- 流行效应是视觉搜索中常见的挑战,可以通过奖励结构来调节.
- 实施不平等的奖励系统,优先考虑较罕见的目标,可以提高检测准确度.
- 这些发现对优化医疗诊断和安全查等领域的搜索策略有影响.
相关概念视频
Targets for Drug Action: Overview
6.4K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
6.4K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
148
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
148
Relative Risk
219
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
219
Spare Receptors
3.6K
Some receptors remain unoccupied even when an agonist produces a maximal response. Such empty ones are called spare receptors. In presence of spare receptors the maximum effect of an agonist drug is achieved with fewer than 100% of the receptors being occupied. To determine the presence of spare receptors, scientists often compare the concentration of the drug needed to produce 50% of the maximum effect (EC50) with the concentration of the drug needed to occupy 50% of the receptors (Kd). If the...
3.6K
Dose-Response Relationship: Selectivity and Specificity
7.0K
Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
7.0K
Ranks
261
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
261


