Whitman Jennifer C, Zhao Jiaying, Todd Rebecca M
Department of Psychology, Northwestern University, Evanston, IL, United States of America.
Department of Psychology, University of British Columbia, Vancouver, BC, Canada.
PLoS One. 2017 Jul 6;12(7):e0180585. doi: 10.1371/journal.pone.0180585. eCollection 2017.
Most real-world judgments and decisions require the consideration of multiple types of evidence. For example, judging the severity of environmental damage, medical illness, or negative economic trends often involves tracking and integrating evidence from multiple sources (i.e. different natural disasters, physical symptoms, or financial indicators). We hypothesized that the requirement to track and integrate across distinct types of evidence would affect severity judgments of multifaceted problems, compared to simpler problems. To test this, we used scenarios depicting crop damage. Each scenario involved either two event types (i.e. mold damage and insect damage), or one event type. Participants judged the quality of the crop following each scenario. In Experiments 1 and 2, subjective judgments were attenuated if the scenario depicted multiple event types, relative to scenarios depicting single event types. This was evident as a shallower slope of subjective severity ratings, as a function of objectively quantifiable severity, for scenarios with multiple event types. In Experiment 3, we asked whether alternation between event types might contribute to this attenuation. Each scenario contained two event types, and the sequence of events either alternated frequently between types or was organized into two sequential groups. Subjective judgments were attenuated for scenarios with frequently alternating sequences. The results demonstrate that alternation between distinct event types attenuates subjective judgments of severity. This suggests that a requirement to integrate evidence across multiple sources places extra demands on the cognitive system, which reduces the perceived evidence strength.
大多数现实世界中的判断和决策都需要考虑多种类型的证据。例如,判断环境破坏、疾病或负面经济趋势的严重程度通常涉及跟踪和整合来自多个来源的证据(即不同的自然灾害、身体症状或财务指标)。我们假设,与较简单的问题相比,跟踪和整合不同类型证据的要求会影响多方面问题的严重程度判断。为了验证这一点,我们使用了描述作物受损情况的场景。每个场景涉及两种事件类型(即霉菌损害和虫害),或一种事件类型。参与者对每个场景后作物的质量进行判断。在实验1和实验2中,与描述单一事件类型的场景相比,如果场景描述了多种事件类型,主观判断会减弱。对于具有多种事件类型的场景,这表现为主观严重程度评级随客观可量化严重程度的函数关系的斜率更平缓。在实验3中,我们询问事件类型之间的交替是否可能导致这种减弱。每个场景包含两种事件类型,事件序列要么在类型之间频繁交替,要么被组织成两个连续的组。对于具有频繁交替序列的场景,主观判断会减弱。结果表明,不同事件类型之间的交替会减弱对严重程度的主观判断。这表明跨多个来源整合证据的要求给认知系统带来了额外的负担,从而降低了感知到的证据强度。