In search of the ‘Aha!’ experience: Elucidating the emotionality of insight problem‐solving

Although the experience of insight has long been noted, the essence of the ‘Aha!’ experience, reflecting a sudden change in the brain that accompanies an insight solution, remains largely unknown. This work aimed to uncover the mystery of the ‘Aha!’ experience through three studies. In Study 1, participants were required to solve a set of verbal insight problems and then subjectively report their affective experience when solving the problem. The participants were found to have experienced many types of emotions, with happiness the most frequently reported one. Multidimensional scaling was employed in Study 2 to simplify the dimensions of these reported emotions. The results showed that these different types of emotions could be clearly placed in two‐dimensional space and that components constituting the ‘Aha!’ experience mainly reflected positive emotion and approached cognition. To validate previous findings, in Study 3, participants were asked to select the most appropriate emotional item describing their feelings at the time the problem was solved. The results of this study replicated the multidimensional construct consisting of approached cognition and positive affect. These three studies provide the first direct evidence of the essence of the ‘Aha!’ experience. The potential significance of the findings was discussed.     

Multi‐set factor analysis by means of Parafac2

We consider multi‐set data consisting of observations, k = 1,…, K (e.g., subject scores), on J variables in K different samples. We introduce a factor model for the J × J covariance matrices , k = 1,…, K, where the common part is modelled by Parafac2 and the unique variances , k = 1,…, K, are diagonal. The Parafac2 model implies a common loadings matrix that is rescaled for each k, and a common factor correlation matrix. We estimate the unique variances by minimum rank factor analysis on for each k. The factors can be chosen orthogonal or oblique. We present a novel algorithm to estimate the Parafac2 part and demonstrate its performance in a simulation study. Also, we fit our model to a data set in the literature. Our model is easy to estimate and interpret. The unique variances, the factor correlation matrix and the communalities are guaranteed to be proper, and a percentage of explained common variance can be computed for each k. Also, the Parafac2 part is rotationally unique under mild conditions.     

The excess choice effect: The role of outcome valence and counterfactual thinking

Contrary to economic theory, psychological research has demonstrated increased choice can undermine satisfaction. When and why this ‘excess choice effect’ (ECE) occurs remains unclear. Building on theories of counterfactual thinking we argue the ECE is more likely to occur when people experience counterfactual thought or emotion and that a key trigger is a negative versus positive task outcome. Participants either selected a drink (Experiment 1) or chocolate (Experiment 2) from a limited (6) versus extensive (24) selection (Experiment 1) or were given no choice versus extensive (24) choice (Experiment 2). In both experiments, however, the choice was illusory: Half the participants tasted a ‘good’ flavour, half a ‘bad’ flavour. As predicted, extensive choice was only detrimental to satisfaction when participants tasted the ‘bad’ drink or chocolate, and this was mediated by the experience of counterfactual thought (Experiment 1) or emotion (Experiment 2). When outcomes were positive, participants were similarly satisfied with limited versus extensive and no choice versus extensive choice. Implications for our theoretical understanding of the ECE and for the construction of choice architectures aimed at promoting individual satisfaction and well‐being are discussed.     

Comment on “The Impact of Cancer on Psychological and Social Outcomes (Costa et al., 2016)”

The review written by (Costa et al. 2016) summarises a broad range of topics associated with what is known about the psychosocial outcomes of cancer in patients and their families. This commentary supplements this review by expanding on three topics that were not covered in the review. First, the challenges in assessing and diagnosing anxiety, depression, and distress in cancer patients due to overlapping symptoms with the disease state are highlighted. Second, the contribution of biological pathways such as inflammation upon the genesis and maintenance of anxiety, depression, and distress is acknowledged. Third, the potential role of religion and spirituality in influencing the psychosocial outcomes of cancer is raised. These three points are used to emphasise the importance of firmly incorporating a biopsychosocial model in research and health‐care provisions with cancer patients and their families.     

Reformation Resources for Contemporary Eco‐Justice Theology

Reformation theology has two significant contributions to make to a renewal of environmental theology. Its heritage of sin exposes the fact that human efforts at intervention in the environment are only ambiguously good and in need of redemption themselves. Its heritage of freedom exposes some efforts toward environmental healing as works‐righteousness, available to be transformed by God in hope for a heavenly and earthly future.     

The Holy Spirit,Eco‐Justice,and an African Lutheran Response to Ecological Peril

In response to the environmental degradation that is taking place right now in much of Africa—and in light of a traditional African emphasis on interdependence—this article seeks to provide an African Lutheran “eco‐pneumatological” contribution to the ongoing conversation about eco‐justice. To do so, it draws on classic Lutheran understandings of creation and grace, even as it calls for a more expanded—and more deeply biblical—understanding of the Holy Spirit's presence and activity throughout all of creation.