Attribution

Six studies show that subtle contextual cues that increase customers’ self-awareness can be used to influence their satisfaction with service providers (while holding the objective service delivery constant). Self-awareness cues tend to increase customers’ satisfaction when the outcome of a service interaction is unfavorable, but they tend to decrease customers’ satisfaction when the outcome of the interaction is favorable. This is because higher self-awareness increases customers’ tendency to attribute outcomes to themselves rather than to the provider. Self-awareness can even influence satisfaction with service interactions that occurred far in the past. The authors demonstrate these effects across a variety of lab and field settings with different simulated retail experiences and with different real-life service interactions, including college courses, meals taken at a university cafeteria, and items purchased at an actual clothing store. The results further show that attempts to...

This research examines the mutual influence of race and victim drinking on college students' domestic violence attributions. Participants were 200, predominately White, middle-class college students. They read a vignette depicting a domestic violence incident. Manipulated within ...

Many accounts of surveillance and its subjective effects tend to focus on privacy. Along with this focus comes the assumption that surveillance’s objects are simply facts and attributes, straightforwardly ‘mined’ (or stolen) from people’s private lives. Yet, the habits and propensities ascribed to individuals through surveillance apparatuses are complex, relational phenomena: co-produced, selected and interpreted with interest by various actors. This essay begins to develop a critical language for surveillance as a form of characterization, by analysing SWAMP's McService (2003), Hasan Elahi’s Tracking Transience (2005–) and Erica Scourti’s Life in AdWords (2012–2013). Following Sara Ahmed, I theorize characterization as a ‘technology of attribution’ that attaches such interpretations of character to people within surveillant scenarios. Drawing from literary studies as well as recent work on the surveillance economy, I analyse the forms of attribution made possible within surveillant scenarios. Within SWAMP, Elahi and Scourti's works, which span a decade between 9/11 and the Snowden revelations, one can trace an evolution of structures through which such attributions manifest: from self as threat, to self as set, to self as product.

The full text is available here: http://www.tandfonline.com/doi/abs/10.1080/14794713.2015.1086134

For those without free access to T&F Journals, there are a limited number of free copies here: http://www.tandfonline.com/eprint/JMasTKf8YwaFW852eadH/full

This study attempts to identify some of the signs of ineffective religious involvement in coping. Drawing from a process/integration model of efficacious coping, three broad types of religious warning signs were defined and 11 subscales were developed. These subscales were administered to a group of Roman Catholic church members and two groups of college undergraduates who had experienced different types of negative life events in the past two years. Statistical analyses were conducted to determine the relationship between these subscales and measures of general mental health and event specific outcome. The theoretical and practical implications of these results are considered. © 2003 Wiley Periodicals, Inc. J Clin Psychol.

1. Why is it difficult to challenge oppression in your clinical practice personal lives, and community? 2. What steps are you taking to actively disrupt the cycle of oppression to reduce micro aggression in your clinical work and in your life?3. Do you actively develop friendships with people who don’t share your social identities to unearth stereotypes and to become aware of unconscious prejudice?

Explanatory style is a cognitive personality variable that reflects the tendency to explain bad events involving the self with causes that are internal to the self, stable across time, and global in effect. The attribution reformulation of helplessness theory predicts that stress coupled with a pessimistic explanatory style leads to negative outcomes, including physical illness, among at-risk individuals. This longitudinal

Attribution of paintings is a critical problem in art history. This study extends machine learning analysis to surface topography of painted works. A controlled study of positive attribution was designed with paintings produced by a class of art students. The paintings were scanned using a chromatic confocal optical profilometer to produce surface height data. The surface data were divided into virtual patches and used to train an ensemble of convolutional neural networks (CNNs) for attribution. Over a range of square patch sizes from 0.5 to 60 mm, the resulting attribution was found to be 60-96% accurate, and, when comparing regions of different color, was nearly twice as accurate as CNNs using color images of the paintings. Remarkably, short length scales, even as small as a bristle diameter, were the key to reliably distinguishing among artists. These results show promise for real-world attribution, particularly in the case of workshop practice.

This study set out to explore how people feel (anxious vs angry) and attribute blame for criticism with the development of a new scale called the sensitivity to put-down scale. It was found that self-blame, but not blaming others for criticism, was associated with a number of psychopathology variables such as social anxiety, depression and shame. Blaming self (but not blaming others) was also associated with increased anger proneness and hostile attitudes. This study also found that those who see themselves as relatively down rank ...

The aim of the present study was to explore how teenagers explain why bullying takes place at school, and whether there were any differences in explaining bullying due to gender and prior bullying experiences. One hundred and seventy-six Swedish students in Grade 9 responded to a questionnaire. Mixed methods (qualitative and quantitative methods) were used to analyze data. The grounded theory analysis generated five main categories and 26 sub categories regarding accounts of bullying causes. Results indicated that youth tended to explain bullying in terms of individualistic reasons (bully attributing and victim attributing) than in terms of peer group, school setting, or human nature/society reasons. Girls were more likely to attribute bullying causes to the bully and much less to the victim, compared to boys. Moreover, youth classified as bullies were more likely to attribute the reason for bullying to the victim and much less to the bully, compared to victims, bystanders, and victims/bullies.

At Hopetoun House in Queensferry, Scotland, the paintings Two Women with Infant and Two Women with Child and Dog are attributed to the late-sixteenth-century artist Annibale Carracci (1560-1609) . Through research and visual analysis, this thesis denounces the current attribution and instead attributes these two paintings to Lavinia Fontana (1552-1614). Fontana was a female painter of the late Renaissance whose artwork did not always conform to the Mannerist tendencies of the other Italian artists from this period. It is difficult to place her within a specific style since she began to stray from some of the concepts and style of Mannerism. During her time, Fontana overcame obstacles set upon her by the Counter-Reformation as well as those due to gender inequalities. Scholars may have been motivated to attribute the paintings to a male artist to make the works more valuable and profitable. By reattributing these paintings, this thesis helps to correct gender inequality that still persists in the art world.

We seem to be living in the age of A.I. Everywhere you look, companies are touting their most recent A.I., machine learning, and deep learning breakthroughs, even when they are far short of anything that could be touted as a “breakthrough.” “A.I.” has eclipsed “Blockchain” and “Crypto” as the buzzword of today. Indeed, one of the best ways to raise VC funding is to stick ‘AI’ or ‘ML’ at the front of your prospectus and “.ai” at the end of your website. Separating fact from fiction is more important than it has ever been.The A.I. Marketer breaks down A.I., machine learning, and deep learning into five unique use cases—sound, time series, text, image, and video—and also reveals how marketing executives can utilize this powerful technology to help them more finely tune their marketing campaigns, better segment their customers, increase lead generation, and foster strong customer loyalty. Today, “Personalization”—the process of utilizing mobile, social, geo-location data, web morphing, context and even affective computing to tailor messages and experiences to an individual interacting with them—is becoming the optimum word in a radically new customer intelligence environment. The A.I. Marketer explains this complex technology in simple to understand terms and then shows how marketers can utilize the psychology of personalization with A.I. to both create more effective marketing campaigns as well as increase customer loyalty. Pearson shows companies how to avoid Adobe’s warning of not using industrial-age technology in the digital era. Pearson also reveals how to create a platform of technology that seamlessly integrates EDW and real-time streaming data with social media content. Analytical models and neural nets can then be built on both commerical and open source technology to better understand the customer, thereby strengthening the brand and, just as importantly, increasing ROI.