On the processing of arguments

This paper is concerned with the processing of informal arguments, that is, arguments involving probable truth. A model of informal argument processing is presented that is based upon Hample's (1977) expansion of Toulmin's (1958) model of argument structure. The model postulates that a claim activates an attitude, the two components forming a complex that in turn activates reasons. Furthermore, the model holds occurrence of the reason, or possibly the claim and the reason, activates values. Three experiments are described that provide support for the model.This research was supported by the Mellon Foundation and by the Office of Educational Research and Improvement of the Department of Education via an award for the Center for the Study of Learning to the Learning Research and Development Center. The contents of the paper are not necessarily the position of any of these organizations.     

Assuming too much from 'familiar' brain potentials

Familiarity is sometimes associated with midfrontal old/new (FN400) signals, but investigators assume too much by inferring familiarity whenever they identify these signals. We describe how Rosburg and colleagues (2011) made this assumption, yielding potentially faulty conclusions about the recognition heuristic. We provide an alternative interpretation emphasizing implicit processing that can underlie decision-making.     

Tasting the divine: the aesthetics of religious emotion in Indian Christianity

The category of rasa (emotional ‘tastes’) in Indian Christian theology and art offers a useful theoretical lens for the academic study of religious emotion. In this article, two Bharata Nā?yam dance ministries provide a case study in the practical applicability of a rasa theology that is emerging within contemporary Indian Christianity. The Christian choreographers have significantly altered the emotions of love and peace in comparison with classical rasa theory and its traditional use in Hindu devotion. Indian Christian artists and theologians have also begun to explore and invent additional aesthetic emotions, giving unique shape to their ‘emotional community.’ Important challenges attend the dance ministries as they are currently configured, yet rasa is a capacious analytical category that can shed new light on Indian Christianity and the study of emotion in religion.     

Gaming, Texting, Learning? Teaching Engineering Ethics Through Students’ Lived Experiences With Technology

This paper examines how young peoples’ lived experiences with personal technologies can be used to teach engineering ethics in a way which facilitates greater engagement with the subject. Engineering ethics can be challenging to teach: as a form of practical ethics, it is framed around future workplace experience in a professional setting which students are assumed to have no prior experience of. Yet the current generations of engineering students, who have been described as ‘digital natives’, do however have immersive personal experience with digital technologies; and experiential learning theory describes how students learn ethics more successfully when they can draw on personal experience which give context and meaning to abstract theories. This paper reviews current teaching practices in engineering ethics; and examines young people’s engagement with technologies including cell phones, social networking sites, digital music and computer games to identify social and ethical elements of these practices which have relevance for the engineering ethics curricula. From this analysis three case studies are developed to illustrate how facets of the use of these technologies can be drawn on to teach topics including group work and communication; risk and safety; and engineering as social experimentation. Means for bridging personal experience and professional ethics when teaching these cases are discussed. The paper contributes to research and curriculum development in engineering ethics education, and to wider education research about methods of teaching ‘the net generation’.     

Age-related effects in inter-trial inhibition of attention

ABSTRACT

Young and older adults indentified the shape of a color oddball in a visual search task, and both showed faster and more accurate responses when the distractor color was passively viewed in the preceding target-absent trial than when the target color was previewed. This inter-trial effect, known as the distractor previewing effect (DPE), reflects an attentional bias that prevents attention from focusing on recently inspected features that failed to produce a target. The results showed that the DPE pattern was preserved across the lifespan, and that the age-related increase in the magnitude of the DPE appeared rooted in age-related slowing, suggesting substantial sparing of this inhibitory effect in old age.     

Sexual Nature? (Re)presenting Sexuality and Science in the Museum

The past 15 years have seen dramatic changes in social norms around sex and sexuality in the UK and worldwide. In 2011, the London Natural History Museum (NHM) contributed to these debates by opening the temporary exhibition Sexual Nature, which aimed to provide ‘a candid exploration of sex in the natural world’ whilst also drawing in an under-represented audience of young adults. Sexual Nature provides an opportunity to explore Macdonald's ‘politics of display’ in the mutual construction of (public) scientific knowledge, society and sexuality, at a time of intense contestation over sexual norms. Whilst Sexual Nature both reflected and contributed to major reframings of sexuality and what science can say about it, the assumption that it would be possible to present this topic as morally neutral, reliable and uncontested, in line with traditions of public science, proved to be problematic. The language of the exhibition moved back and forth between human/animal similarity and difference, and between scientific and cultural tropes as the NHM tried to maintain epistemic authority whilst also negotiating the moral boundaries of acceptable sexual behaviour. The topic of sex pushed the museum far beyond its usual expertise in the natural sciences towards the unfamiliar territory of the social and human, resulting in an ad hoc search for, and negotiation with, alternative sources of expertise. Boon et al.’s co-curation approach to exhibition building has the potential to extend the NHM's audience-driven strategy, whilst also producing a more coherent and nuanced exhibition about the science of sex.     

How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria

Diffusion models (Ratcliff, 1978) make it possible to identify and separate different cognitive processes underlying responses in binary decision tasks (e.g., the speed of information accumulation vs. the degree of response conservatism). This becomes possible because of the high degree of information utilization involved. Not only mean response times or error rates are used for the parameter estimation, but also the response time distributions of both correct and error responses. In a series of simulation studies, the efficiency and robustness of parameter recovery were compared for models differing in complexity (i.e., in numbers of free parameters) and trial numbers (ranging from 24 to 5,000) using three different optimization criteria (maximum likelihood, Kolmogorov–Smirnov, and chi-square) that are all implemented in the latest version of fast-dm (Voss, Voss, & Lerche, 2015). The results revealed that maximum likelihood is superior for uncontaminated data, but in the presence of fast contaminants, Kolmogorov–Smirnov outperforms the other two methods. For most conditions, chi-square-based parameter estimations lead to less precise results than the other optimization criteria. The performance of the fast-dm methods was compared to the EZ approach (Wagenmakers, van der Maas, & Grasman, 2007) and to a Bayesian implementation (Wiecki, Sofer, & Frank, 2013). Recommendations for trial numbers are derived from the results for models of different complexities. Interestingly, under certain conditions even small numbers of trials (N < 100) are sufficient for robust parameter estimation.