The Candy Crush Sweet Tooth: How ‘Near-misses’ in Candy Crush Increase Frustration,and the Urge to Continue Gameplay

Like many gambling games, the exceedingly popular and lucrative smartphone game “Candy Crush” features near-miss outcomes. In slot machines, a near-miss involves getting two of the needed three high-paying symbols on the pay-line (i.e., just missing the big win). In Candy Crush, the game signals when you just miss getting to the next level by one or two moves. Because near-misses in gambling games have consistently been shown to invigorate play despite being frustrating outcomes, the goal of the present study was to examine whether such near-misses trigger increases in player arousal, frustration and urge to continue play in Candy Crush. Sixty avid Candy Crush players were recruited to play the game for 30 min while having their Heart Rate, Skin Conductance Level, subjective arousal, frustration and urge to play recorded for three types of outcomes: wins (where they level up), losses (where they don’t come close to levelling up), and near-misses (where they just miss levelling up). Near-misses were more arousing than losses as indexed by increased heart rate and greater subjective arousal. Near-misses were also subjectively rated as the most frustrating of all outcomes. Most importantly, of any type of outcome, near-misses triggered the most substantial urge to continue play. These findings suggest that near-misses in Candy Crush play a role in player commitment to the game, and may contribute to players playing longer than intended.     

A herstory of public relations: Teresa Dorn,from Scott Cutlip to Burson-Marsteller Europe (1974–1995)

ABSTRACT

This research concentrates on Teresa Dorn’s contributions to the history/herstory of public relations through the analysis of her first 20 years in the profession, 15 of which were devoted to making Burson-Marsteller a prominent multinational company in Spain and Europe. The study explores the process of how Burson-Marsteller became one of the top consultancies in a country with a newly established democracy through the report of a life history. This methodology leads to a better understanding of when, why, and how the first international consultancy was settled in Spain and succeeded under the guidance of an American female practitioner.     

The implications of different ethnicity categorisation methods for understanding outcomes and developing policy in New Zealand

ABSTRACT

Identifying with more than one ethnicity is becoming increasingly common in New Zealand. It is therefore important that the methods of categorising ethnicity used by government agencies and researchers effectively account for diverse ethnic identities. The aim of this research was to assess the impact of using different methods of categorising ethnicity on understanding outcomes in New Zealand, using Census 2013 information about tobacco smoking among the population aged 15+ years as an illustration. Prioritised, total response and single/combination categorisation methods were compared. Prioritised and total response categorisation generally produced similar prevalence estimates and patterns for smoking status, although estimates diverged somewhat for Māori ethnic groups and to a lesser extent for Pacific Peoples and Asian ethnic groups. Single/combination categorisation indicated that combination ethnic groups tend to have smoking outcomes between those of the constituent groups. Categorisation method had a considerable impact on the size of some ethnic groups. Prioritised ethnicity categorisation may be inappropriate for use by government agencies and for policy-relevant research principally concerned with children, young people, Māori or Pacific Peoples. Single/combination categorisation is useful for understanding the associations between ethnicity and outcomes, however previous work suggests this method should be used with caution.     

Are women less career centric than men? Structure,culture, and identity investments

Some work/family scholars assume that gender differences in career centrality (i.e. the importance of career to one's identity) are a result of differential job characteristics and family demands; others trace these differences to pre-existing cultural orientations. Using the 2010 Generations of Talent data from 9210 employees working in 11 countries for 7 multinational companies, this study verifies the existence of gender differences in career centrality and explores structural and cultural explanations. Gender disparities in career centrality are modest, indicating that women's and men's identification with careers is more similar than is commonly asserted; the most pronounced (but still relatively small) disparities are observed in Japan and China. A large portion of the gender gap is explained by job characteristics, supporting structural explanations. Family demands contribute to explaining the gap as well, but the findings are unexpected: having minor children is associated with higher career centrality for both women and men. In support of cultural explanations, however, traditional gender beliefs are associated with lower career centrality, especially for women, while two job characteristics (job variety and peer relations) have distinct links to career centrality for women and men. Findings challenge the common assumption that family identities compete against work identities.     

“Take-the-Best” and Other Simple Strategies: Why and When they Work “Well” with Binary Cues

The effectiveness of decision rules depends on characteristics of both rules and environments. A theoretical analysis of environments specifies the relative predictive accuracies of the “take-the-best” heuristic (TTB) and other simple strategies for choices between two outcomes based on binary cues. We identify three factors: how cues are weighted; characteristics of choice sets; and error. In the absence of error and for cases involving from three to five binary cues, TTB is effective across many environments. However, hybrids of equal weights (EW) and TTB models are more effective as environments become more compensatory. As error in the environment increases, the predictive ability of all models is systematically degraded. Indeed, using the datasets of Gigerenzer et al. (1999, Simple Heuristics That Make Us Smart, New York: Oxford University Press), TTB and similar models do not predict much better than a naïve model that exploits dominance. Finally, we emphasize that the results reported here are conditional on binary cues.     

Individual and Familial Correlates of Body Satisfaction in Male and Female College Students

Abstract

Objective: This study investigates the relative contributions of global self-esteem, body mass index (BMI), dieting behaviors, and perceived parental control and care on body satisfaction among a nonclinical sample of college students. Participants and Methods: Participants (49 males and 299 females) reported weight and height (to calculate BMI) and completed the EAT 26 test. Perceived parental care and control, global self-esteem, and body satisfaction were measured and examined in relation to BMI and dieting behavior. Results: High BMIs were associated with lower body satisfaction for both genders; dieting behavior, self-esteem, and perceived parental care and control demonstrated a unique gender-specific association among variables in prediction of body satisfaction and dieting behavior for each gender. Conclusions: Body satisfaction as a part of global self-esteem is constructed differently by males and females. Various aspects of parenting (care and control) are associated with self-esteem and body satisfaction for each gender, influencing dieting behavior.     

Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs)

Adverse outcome pathway Bayesian networks (AOPBNs) are a promising avenue for developing predictive toxicology and risk assessment tools based on adverse outcome pathways (AOPs). Here, we describe a process for developing AOPBNs. AOPBNs use causal networks and Bayesian statistics to integrate evidence across key events. In this article, we use our AOPBN to predict the occurrence of steatosis under different chemical exposures. Since it is an expert-driven model, we use external data (i.e., data not used for modeling) from the literature to validate predictions of the AOPBN model. The AOPBN accurately predicts steatosis for the chemicals from our external data. In addition, we demonstrate how end users can utilize the model to simulate the confidence (based on posterior probability) associated with predicting steatosis. We demonstrate how the network topology impacts predictions across the AOPBN, and how the AOPBN helps us identify the most informative key events that should be monitored for predicting steatosis. We close with a discussion of how the model can be used to predict potential effects of mixtures and how to model susceptible populations (e.g., where a mutation or stressor may change the conditional probability tables in the AOPBN). Using this approach for developing expert AOPBNs will facilitate the prediction of chemical toxicity, facilitate the identification of assay batteries, and greatly improve chemical hazard screening strategies.     

Poverty in Russia

This article concentrates on poverty debates during the last few years of the Soviet Union under Gorbachev and in Russia today under Yeltsin. Some references to previous years are made in order to provide some historical context for these debates. The article is divided into two parts: the first examines debates on the definitions of poverty, while the second looks at its depth and extent. The discussion will provide one more illustration of the now generally accepted thesis that the way poverty is defined inevitably affects the extent of measured poverty and the policy measures for its amelioration.