Vocational choice: A decision making perspective

We propose a model of vocational choice that can be used for analyzing and guiding the decision processes underlying career and job choices. Our model is based on research in behavioral decision making (BDM), in particular the choice goals framework developed by Bettman, Luce, and Payne (1998). The basic model involves two major processes. First, the selection of a decision strategy according to four choice goals: maximizing decision accuracy, minimizing cognitive effort, minimizing negative emotion, and maximizing justifiability of the decision. Second, the construction of situation-specific preferences, which can reflect irrelevant task and context factors such as the evaluation mode. This basic model is extended to account for social influences and the long decision time typical of most career and job decisions. We review research on vocational choice in light of this model, discuss normative implications for counseling, and outline a research agenda for studying vocational choice from a behavioral decision making perspective.     

How something can be said about telling more than we can know: on choice blindness and introspection

The legacy of Nisbett and Wilson’s classic article, Telling More Than We Can Know: Verbal Reports on Mental Processes (1977), is mixed. It is perhaps the most cited article in the recent history of consciousness studies, yet no empirical research program currently exists that continues the work presented in the article. To remedy this, we have introduced an experimental paradigm we call choice blindness [Johansson, P., Hall, L., Sikström, S., &; Olsson, A. (2005). Failure to detect mismatches between intention and outcome in a simple decision task. Science, 310(5745), 116–119.]. In the choice blindness paradigm participants fail to notice mismatches between their intended choice and the outcome they are presented with, while nevertheless offering introspectively derived reasons for why they chose the way they did. In this article, we use word-frequency and latent semantic analysis (LSA) to investigate a corpus of introspective reports collected within the choice blindness paradigm. We contrast the introspective reasons given in non-manipulated vs. manipulated trials, but find very few differences between these two groups of reports.     

Trends in Behavior-Analytic Gambling Research and Treatment

The purpose of the present review was to analyze research outcomes for all gambling studies reported in the behavior analysis literature. We used the search term “gambling” to identify articles that were published in behaviorally oriented journals between the years 1992 and 2012 and categorized the content of each article as empirical or conceptual. Next, we examined and categorized the empirical articles by inclusion of an experimental manipulation and treatment to alleviate at least some aspect of pathological gambling, participant population used, type of gambling task employed in the research, whether the participants in the study actually gambled, and the behavioral phenomena of interest. The results show that the rate of publication of gambling research has increased in the last 6 years, and a vast majority of articles are empirical. Of the empirical articles, examinations of treatment techniques or methods are scarce; slot machine play is the most represented form of gambling, and slightly greater than half of the research included compensation based on gambling outcomes within experiments. We discuss implications and future directions based on these observations of the published literature.     

The dynamics of deferred decision

Decision makers are often unable to choose between the options that they are offered. In these settings they typically defer their decision, that is, delay the decision to a later point in time or avoid the decision altogether. In this paper, we outline eight behavioral findings regarding the causes and consequences of choice deferral that cognitive theories of decision making should be able to capture. We show that these findings can be accounted for by a deferral-based time limit applied to existing sequential sampling models of preferential choice. Our approach to modeling deferral as a time limit in a sequential sampling model also makes a number of novel predictions regarding the interactions between choice probabilities, deferral probabilities, and decision times, and we confirm these predictions in an experiment. Choice deferral is a key feature of everyday decision making, and our paper illustrates how established theoretical approaches can be used to understand the cognitive underpinnings of this important behavioral phenomenon.     

Perceived optimality of competing solutions to the Euclidean travelling salesperson problem

The Travelling Salesperson Problem (TSP) is a nondeterministic-polynomial hard (NP-hard) combinatorial problem that occurs in a wide range of industrial domains, including logistics, route finding, and computer wiring. Interestingly, despite the problem’s inherent computational difficulty, when presented in Euclidean space (ETSP), human participants can produce close-to-optimal solutions in near-linear time. However, when asked to compare and select the most optimum solution from a set of pre-defined competing solution options, participants can struggle. In this study we investigate this paradox by asking participants to compare four closed-loop Euclidean TSP solutions, in order to determine which solution they perceived to have the most optimal tour cost. We hypothesise that the extracted geometric properties have an effect on stimulus selection in a discrimination task (selection or no selection). Accordingly, we extracted four geometric properties from competing stimuli in order to create a perceptual activation function. Predictive analytics demonstrated that a classification model could identify the most optimal solution 97% of the time using the perceptual activation scores alone, yet human participants only correctly determined the most optimal solution 47% of the time. Mixed-effects models suggest that ‘likelihood of stimulus selection’ can be modelled as a function of the weighted coefficients of competing perceptual activation scores within each trial; however only a small amount of the variance is explained by these perceptual activation scores. Finally, a drift–diffusion model was used to create a theoretical framework of how likelihood of stimulus selection is influenced by competing perceptual activators. Our study highlights a novel way of extracting and analysing the importance of geometric properties that influence ETSP discrimination tasks, and links this analysis to human behaviour when discriminating between competing ETSP solutions.     

The conflicting choices of alternating selves

Participants made choices after the salience of their social identities was manipulated. Choices assimilated to the salient identity, whether that identity stemmed from a person’s role (e.g., student, family member) or culture (e.g., Chinese, American). Thus, the preferences that participants expressed depended on the identity that happened to be salient at the moment of choice, with participants expressing preferences when one identity was salient that conflicted with the preferences they would express were another identity salient. These effects only arose for those who held and identified with the evoked identity. Studies further revealed that such identity-congruent choices influence post-choice satisfaction and regret: participants were less satisfied with their prior choices when the identity salient during post-choice evaluation or consumption was different from the identity salient during choice, compared to when the “choosing” and “consuming” identities were the same. Implications of the findings are discussed.     

Tainted recommendations: The social comparison bias

The present analysis reveals the social comparison bias – a bias that emerges from the social comparison process and taints recommendations. We hypothesize that people who have high standing on a relevant dimension (e.g., quantity of publications) begin to protect their social comparison context by making recommendations that prevent others, who might surpass them on the relevant dimension, from entering their comparison context. Studies 1 and 2 instantiate this effect in both hypothetical and real decision situations, showing that people tend not to recommend individuals who surpass them on the relevant dimension on which they have high standing. Finally, Study 3, in a sample of real employees, links the effect to one’s concern for protecting self-esteem. Theoretical and organizational implications are discussed.     

The role of personality in the selection of a major: With and without vocational self-efficacy and interests

The purpose of this study is to examine the role of personality traits measured by the Multidimensional Personality Questionnaire (MPQ; [Tellegen, 2000] and [Tellegen and Waller, 2008]) in selecting educational majors. Personality traits were examined alone, and with the combination of Holland’s hexagonal confidence domains, as measured by the general confidence themes (GCT) of the Skills Confidence Inventory (SCI; Betz, Borgen, & Harmon, 2005), and Holland’s interest domains, as measured by the general occupational themes (GOTs) of the 2005 Strong Interest Inventory (SII; Donnay, Morris, Schaubhut, & Thompson, 2005). Personality traits significantly contributed to the discrimination of nine educational major families in a sample of 368 undergraduate decided students. When the set of confidence and interest scales was added to the personality traits, the conservative jack knife hit rate was almost doubled.     

Bounded Ornstein-Uhlenbeck models for two-choice time controlled tasks

The Ornstein-Uhlenbeck (O-U) model has been successfully applied to describe the response accuracy and response time in 2-alternative choice tasks. This paper analyses properties and performance of variants of the O-U model with absorbing and reflecting boundary conditions that limit the range of possible values of the integration variable. The paper focuses on choice tasks with pre-determined response time. The type of boundary and the growth/decay parameter of the O-U model jointly determine how the choice is influenced by the sensory input presented at different times throughout the trial. It is shown that the O-U models with two types of boundary are closely related and can achieve the same performance under certain parameter values. The value of the growth/decay parameter that maximizes the accuracy of the model has been identified. It is shown that when the boundaries are introduced, the O-U model may achieve higher accuracy than the diffusion model. This suggests that given the limited range of the firing rates of integrator neurons, the neural decision circuits could achieve higher accuracy employing leaky rather than linear integration in certain tasks. We also propose experiments that could distinguish between different models of choice in tasks with pre-determined response time.