A generalized distance function for preferential choices

Many cognitive theories of judgement and decision making assume that choice options are evaluated relative to other available options. The extent to which the preference for one option is influenced by other available options will often depend on how similar the options are to each other, where similarity is assumed to be a decreasing function of the distance between options. We examine how the distance between preferential options that are described on multiple attributes can be determined. Previous distance functions do not take into account that attributes differ in their subjective importance, are limited to two attributes, or neglect the preferential relationship between the options. To measure the distance between preferential options it is necessary to take the subjective preferences of the decision maker into account. Accordingly, the multi‐attribute space that defines the relationship between options can be stretched or shrunk relative to the attention or importance that a person gives to different attributes describing the options. Here, we propose a generalized distance function for preferential choices that takes subjective attribute importance into account and allows for individual differences according to such subjective preferences. Using a hands‐on example, we illustrate the application of the function and compare it to previous distance measures. We conclude with a discussion of the suitability and limitations of the proposed distance function.     

Grain Size and Parameter Recovery with TIMSS and the General Diagnostic Model

The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying sample sizes from 500 to 4000 and grain sizes of the attributes from a unidimensional model to one with ten attributes. The results showed that the eight-attribute model was the one most consistently identified as best fitting. Parameter estimation for more than ten attributes and samples less than 500 failed. Furthermore, the precision of item parameter recovery decreased as the number of attributes measured by an item increased and sample size decreased. On the other hand, the distributions of latent classes were relatively stable across all models and sample sizes.     

排名列表项目展示方式对于项目评价的极化效应

排名列表是帮助消费者快速识别品牌或产品优劣的手段。研究基于空间隐喻理论, 探究排名列表的不同展示方式(垂直vs水平)对消费者列表项目评价的极化影响及作用机制。通过5个实验发现: 消费者对于垂直排名列表相比水平排名列表中的项目具有更大的评价极化效应, 并且验证了项目感知差异在上述关系中的中介作用, 即垂直排名列表的评价极化效应是由个体较高的排名列表项目感知差异所驱动的。此外, 当属性可评估性较低时, 才会出现不同列表项目的评价极化效应; 相反, 当排名列表项目属性可评估性较高时, 该评价极化效应消失。     

Learning to Decide with and without Reasoning: How Task Experience Affects Attribute Weighting and Preference Stability

Certain experiments have shown that reasoning may weaken the stability of people's preferences, especially with regard to well‐learned perceptual judgment and decision‐making tasks, while learning has an opposite, consistency‐enhancing effect on preferences. We examined the effects of these factors in a visual multi‐attribute decision‐making task where reasoning, in contrast, has been found to benefit judgments by making them more stable. The initial assumption in this study was that this benefit would be typical for novel tasks, like the one employed here, and that it would decrease when the task is thoroughly learned. This assumption was examined in three experiments by contrasting it with an alternative assumption that this previously obtained beneficial effect is caused solely by learning, not by reasoning. It was found that learning indeed makes preferences more stable by consolidating the weights of the attributes. Reasoning, however, does not benefit this task when it is completely novel but facilitates learning and stability of the preferences long run, therefore increasing the consistency of the participants in the macrolevel. Copyright © 2017 John Wiley & Sons, Ltd.     

The Effect of Transparency on Framing Effects in Within‐Subject Designs

A long‐lasting assumption about the framing effect is that if the participants discover the purpose of the experiment in a within‐subject design, then this test transparency would trigger them to override their initial answer and make coherent choices. For this reason, researchers try to mask the connection between the two parts of the test by inserting filling questions or a time delay between the two parts of the test. In this research, we explored the extent to which these customarily used masking solutions are effective in increasing test sensitivity for the framing effect. In three experiments, we assessed the effect of masking on the tests of the attribute framing and the risky‐choice framing effects. Contradicting the general belief, our results indicate that these effects are already measurable without any masking or delay and we found no convincing evidence that the attempts to decrease task transparency provide worthwhile benefits for general tests of the effect. Beyond their practical relevance, the results question whether the test is a good measure of coherence rationality and better suit those accounts that suggest that the two parts of the framing tasks cannot be regarded as identical. Copyright © 2017 John Wiley & Sons, Ltd.     

A Note on the Power of Multiattribute One‐switch Utility Functions

One‐switch utility functions model situations in which the preference between two alternatives switches only once as the outcome of one attribute of both alternatives changes from low to high. Recent research cites evidence that the sum of exponential functions (sumex) is the most convincing type for modelling one‐switch utility functions. Sumex functions allow to model exactly one preferential switch and they are convenient for estimating one‐switch utility functions. However, it is unclear so far if sumex functions are suitable to model preferential switches that are perceivable by a decision maker. This paper first analyses how different the utility of two alternatives before and after a preferential can be modelled with sumex functions given that the preferential switch is caused by a particular attribute outcome improvement. It thereafter investigates how accurately decision makers perceive such utility differences. Copyright © 2015 John Wiley & Sons, Ltd.     

The Flushtration Count Illusion: Attribute substitution tricks our interpretation of a simple visual event sequence

When faced with a difficult question, people sometimes work out an answer to a related, easier question without realizing that a substitution has taken place (e.g., Kahneman, 2011, Thinking, fast and slow. New York, Farrar, Strauss, Giroux). In two experiments, we investigated whether this attribute substitution effect can also affect the interpretation of a simple visual event sequence. We used a magic trick called the ‘Flushtration Count Illusion’, which involves a technique used by magicians to give the illusion of having seen multiple cards with identical backs, when in fact only the back of one card (the bottom card) is repeatedly shown. In Experiment 1, we demonstrated that most participants are susceptible to the illusion, even if they have the visual and analytical reasoning capacity to correctly process the sequence. In Experiment 2, we demonstrated that participants construct a biased and simplified representation of the Flushtration Count by substituting some attributes of the event sequence. We discussed of the psychological processes underlying this attribute substitution effect.     

What artificial grammar learning reveals about the neurobiology of syntax

In this paper we examine the neurobiological correlates of syntax, the processing of structured sequences, by comparing FMRI results on artificial and natural language syntax. We discuss these and similar findings in the context of formal language and computability theory. We used a simple right-linear unification grammar in an implicit artificial grammar learning paradigm in 32 healthy Dutch university students (natural language FMRI data were already acquired for these participants). We predicted that artificial syntax processing would engage the left inferior frontal region (BA 44/45) and that this activation would overlap with syntax-related variability observed in the natural language experiment. The main findings of this study show that the left inferior frontal region centered on BA 44/45 is active during artificial syntax processing of well-formed (grammatical) sequence independent of local subsequence familiarity. The same region is engaged to a greater extent when a syntactic violation is present and structural unification becomes difficult or impossible. The effects related to artificial syntax in the left inferior frontal region (BA 44/45) were essentially identical when we masked these with activity related to natural syntax in the same subjects. Finally, the medial temporal lobe was deactivated during this operation, consistent with the view that implicit processing does not rely on declarative memory mechanisms that engage the medial temporal lobe. In the context of recent FMRI findings, we raise the question whether Broca’s region (or subregions) is specifically related to syntactic movement operations or the processing of hierarchically nested non-adjacent dependencies in the discussion section. We conclude that this is not the case. Instead, we argue that the left inferior frontal region is a generic on-line sequence processor that unifies information from various sources in an incremental and recursive manner, independent of whether there are any processing requirements related to syntactic movement or hierarchically nested structures. In addition, we argue that the Chomsky hierarchy is not directly relevant for neurobiological systems.     

Data Karaoke: Sensory and Bodily Skills in Conference Presentations

At the International Conference on Auditory Display (ICAD), an interdisciplinary conference dedicated to sonification and the use of non-speech sound to represent information, presenters make use of a variety of bodily skills and representations that appeal to the senses of their audience. In many established disciplines, the conventions that guide the use of these skills and representations are taken for granted; but within ICAD, they are often explicitly negotiated. The practice of ‘data karaoke', in which researchers mimic the sound of a sonification with their own voice, is particularly instructive for understanding these negotiations, and the ICAD community more generally. Data karaoke fulfils five functions: embodiment, highlighting, illustration, authorisation and integration. To make sense of data karaoke, we have to understand the institutional and intellectual environment in which this peculiar practice has emerged; but conversely, an understanding of data karaoke can help us throw new light on epistemological debates about the hierarchy of the senses: data karaoke is a multisensory skill engaging the whole body of the sonification researcher, and thus calls into question the dominant epistemological discourse within the ICAD community, in which the different sensory modalities are framed as competitors. The ICAD case shows that studying conferences as sites where bodies interact, and presentations as performances involving the bodies and senses of scientists, helps us to understand not only the conference cultures, but also the ideals about scientific scholarship and academic authority held by scientific communities.     

Should We Approach Approach and Avoid Avoidance? An Inquiry from Different Levels

Abstract

Approach motivation (striving for desired end-states, eagerly focusing on where one wants to be) is often held up as the best type of motivation: It feels good and is associated with many positive outcomes. Indeed, a common perception is that regulation in terms of approach motivation is almost always better than regulation in terms of avoidance motivation. However, as we discuss, this conclusion is worthy of a deeper look. We consider how approach and avoidance motivation manifest at different levels in a self-regulatory hierarchy and how this can help us understand the upsides and downsides of both approach and avoidance motivation. In other words, approach motivation is not always beneficial and avoidance motivation is not always problematic. Understanding these trade-offs involves a consideration of which level in the hierarchy approach or avoidance is manifested, what types of outcomes are being examined (the experience of regulation vs. performance), and how the approach or avoidance regulation fits or does not fit with an individual’s broad concerns or specific situational demands. Furthermore, a hierarchical approach helps make sense of behaviors that reflect simultaneous approach and avoidance tendencies, such as tactical approach to remove (avoid) a threat, providing a dynamic and nuanced view of motivation.