Should you Sleep on it? The Effects of Overnight Sleep on Subjective Preference‐based Choice

Conventional wisdom and studies of unconscious processing suggest that sleeping on a choice may improve decision making. Although sleep has been shown to benefit several cognitive tasks, including problem solving, its impact on everyday choices remains unclear. Here we explore the effects of ‘sleeping on it’ on preference‐based decisions among multiple options. In two studies, individuals viewed several attributes describing a set of items and were asked to select their preferred item after a 12‐hour interval that either contained sleep or was spent fully awake. After an overnight period including sleep, individuals showed increases in positive perceptions of the choice set. This finding contrasts with previous research showing that sleep selectively enhances recall for negative information. In addition, this increase in positive recall did not translate into a greater desire to purchase their preferred item or into an overall benefit for choice satisfaction. Time‐of‐day controls were used to confirm that the observed effects could not be explained by circadian influences. Thus, we show that people may feel more positive about the choice options but not more confident about the choice after ‘sleeping on’ a subjective decision. We discuss how the valence of recalled choice set information may be important in understanding the effects of sleep on multi‐attribute decision making and suggest several avenues for future research. Copyright © 2015 John Wiley & Sons, Ltd.     

Group decision process and incrementalism in organizational decision making

In two studies examining resource allocation, support is found for the notion that group decisions are affected in systematic ways depending on whether or not there was individual consideration of the problem before meeting as a group. Specifically, compared to no prior consideration groups, prior consideration groups (1) escalate their commitment more in progress (i.e., ongoing) decisions, and (2) are less willing to concentrate resources on a single project in adoption (i.e., resource utilization) decisions. The findings challenge the blanket assertion that promoting divergent views in a group decision context is always related to better decisions.     

The role of desires in sequential impulsive choices

The present research provides evidence for a sequential mitigation effect, which is the phenomenon that participation in a prior impulsive choice task significantly reduces the decision maker’s likelihood of choosing impulsively in a subsequent task. The results of five experiments: (a) provide evidence for the Sequential Mitigation Effect using different study materials and contexts (Experiments 1–3), (b) show that prior impulsive (as opposed to non-impulsive) choice is required for the effect to occur (Experiment 4), and (c) find that the decision maker’s chronic sensitivity to positive and negative outcomes moderates the effect (Experiment 5). The results support the notion that desire for impulsive options functions as a limited motivational resource, and being consumed in the first task, is experienced to a lesser extent in the second task. The sequential mitigation effect may be characterized as a motivational contextual influence on decision making, complementing existing research showing that cognitive context effects influence sequential choices.     

The Effect of Decision Strategy on Deciding to Defer Choice

Recent research has examined consumer decision making when the option of not choosing any of the alternatives is also provided. The findings from this research suggest that the decision to defer choice is sensitive to the uncertainty of choosing the most preferred option from the set of alternatives provided. Building on this research, the author tests whether the decision to defer choice is also influenced by task variables that influence decision uncertainty. In the first experiment, this proposition is tested for choice problems in which information on three relatively equally attractive alternatives is presented either sequentially or simultaneously. As predicted, the preference for the defer-choice option was greater when the three alternatives were presented simultaneously. A second study forced subjects into using one of four decision strategies in order to choose between two non-dominated alternatives. The preference for the no-choice option was found to be higher when the rule required explicit attribute tradeoffs and lower when it simplified choice. These results suggest that choice uncertainty is influenced by the decision strategy used to determine the preference among alternatives. We conclude with a discussion of the implications of the results for marketers' communication strategies.     

当局者迷,旁观者清?自我-他人决策的理性差异及其机制

生活充满抉择,由于知识经验的局限,人们常需寻求他人建议,抑或直接请他人代己决策.诸多研究探讨了自我决策、向他人建议,以及代他人决策之间的差异.探究这种差异的动因之一在于考察何种条件下的决策更优或更“理性”.以往研究表明,自我决策或他人决策(向他人建议或代他人决策)均有可能更易违背理性决策原则,隐含着他人决策优于自我决策的“当局者迷,旁观者清”这一传统智慧有一定的边界条件.研究者一般从认知(建构水平理论)、情绪(类型和卷入度),以及动机(调节聚焦理论)三种视角对自我-他人决策差异进行解释.本文作者提出基于理由的决策(reason-based account)假设来解释自我-他人决策在理性程度上的差异.未来研究可从决策过程及脑机制上深入考察自我-他人决策差异及其机制.     

Processes of patient decision making: Theoretical and methodological issues

Abstract

There is a paucity of research studying patients' decision making processes. Traditional normative approaches investigating human decision have presented rational, analytic processing as a ‘gold standard’ for decision making with decision aids developed to facilitate such thinking. This paradigm has been challenged by the recent emergence of naturalistic decision making. Naturalistic approaches argue for techniques modelled closer to how decisions are actually made in ‘real life’. Early work in this evolving field suggests the importance of more automatic, intuitive processing such as the use of heuristic short-cuts. This paper discusses the contribution of naturalistic decision theory and assesses its usefulness as an alternative to classical decision approaches in investigating patient decision making. Approaches for measuring underlying cognitive processes are also critically discussed.     

Ear Decomposition for Pair Comparison Data

An efficient graph-theoretical decomposition technique is introduced that treats inconsistencies in behavioral data as systematic adaptations rather than random errors. This technique, which is known as ear decomposition, reduces inconsistencies in any binary data set to a basis of directed cycles. Such a basis characterizes the data set in terms of inconsistencies and its size offers an improved measure of internal consistency. In two examples it is illustrated how different implementations of the ear decomposition technique can help to identify choices that are critical for violations of transitivity.