Murray Sidman: A life of giving

Murray Sidman's contributions to the science of behavior span many areas including avoidance behavior, coercion and its effects, stimulus control, errorless learning, programmed learning, stimulus equivalence, and single-subject methodology. He was also a great mentor to many and helped shape the discipline we now call behavior analysis. In this memoriam, we briefly highlight his scholarly legacy and share some personal anecdotes.     

Why and for whom does the pressure to help hurt others? Affective and cognitive mechanisms linking helping pressure to workplace deviance

Scholars are paying increasing attention to the “dark side” of citizenship behavior. One aspect of this dark side that has received relatively scant attention is “helping pressure”—an employee's perception that s/he is being encouraged to, or otherwise feels that s/he should, enact helping behavior at work. Drawing from theory associated with work stress, we examine affective and cognitive mechanisms that potentially explain why helping pressure, counterintuitively, may lead employees to engage in deviant behavior instead. Beyond examining these possible mechanisms, we also answer calls to identify a potential buffer to these effects. Drawing from self-determination theory, we examine how an employee's intrinsic motivation for citizenship may lessen the deleterious consequences of helping pressure at work. In two studies (a within-individual experience-sampling study and a two-wave between-individual study), we find consistent evidence that helping pressure has a positive indirect relationship with deviant behavior through increased negative affect. Further, we find evidence that intrinsic motivation for citizenship weakens the positive relationship of helping pressure with negative affect, buffering the indirect effect on subsequent deviant behavior. Theoretical and practical implications of these findings for the study of helping pressure at work are discussed.     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

“Feeling my Sister’s Pain”: Perceived Victim Suffering Moderates the Impact of Sexualized Music Videos on Fijian Women’s Responses to Men’s Intimate Partner Violence against Women

To better understand how sexualized music videos affect women’s responses to intimate partner violence (IPV), we examined the role of individual variability in perceived victim pain and perceived victim culpability in moderating and mediating (respectively) the priming effects of sexual music videos on women. Female Fijian college students (n?=?243) were randomly assigned to one of three viewing conditions: stereotyped sexual music videos, non-stereotyped/non-sexual music videos, or neutral videos. All participants then read a portrayal of a male-toward-female IPV episode and their perceptions of the female victim and male perpetrator were assessed. Only women who minimized the victim’s pain were adversely affected by exposure to the stereotyped sexual videos. Specifically, for women who perceived low victim pain, those in the stereotyped video condition perceived the victim as more culpable and reported greater perpetrator-directed favorable responding than those in the other two conditions. For these women who perceived low victim pain, perceptions of victim culpability mediated the impact of video type on perpetrator-favorable responding. The findings help us better understand susceptibility to the negative impact of stereotypical sexual videos and highlight areas, such as emphasizing the suffering of victims and reducing myths about victim culpability, which may be worthy of particular emphasis in interventions.

     

Moderating Loss Aversion: Loss Aversion Has Moderators,But Reports of its Death are Greatly Exaggerated

Loss aversion, the principle that losses impact decision making more than equivalent gains, is a fundamental idea in consumer behavior and decision making, though its existence has recently been called into question. Across five unique samples (N_total = 17,720), we tested several moderators of loss aversion, which supported a preference construction account. Across studies, more domain knowledge and experience were associated with lower loss aversion, though people of all knowledge and experience levels were loss averse. Among car buyers, those who knew more about a particular car attribute (e.g., fuel economy) were less loss averse for that attribute but not other attributes (e.g., comfort), consistent with the idea that people with less attribute knowledge are more likely to construct preferences, thereby increasing loss aversion. Additionally, older consumers were more loss averse across different loss aversion measures and studies. We discuss implications for several accounts of loss aversion, including accounts rooted in status quo bias, emotion, or ownership. In addition to discovering loss aversion moderators, we cast doubt on recent claims that loss aversion is a fallacy or is fully explained by status quo bias, risk aversion, or the educated laboratory samples often used to study loss aversion.     

Nonmonetary and nonreciprocal freecycling: Motivations for participating in online alternative giving communities

This research examines consumers' participation in a nonmonetary, nonreciprocal form of online consumer exchange wherein consumers may decide to give only, receive only, or both give and receive. Given the lack of financial incentives or relational norms that would traditionally drive participation in this societally beneficial consumption activity for which we advance the term alternative giving, this research examines consumers' participation motivations. Are consumers, as prior research suggests, motivated to participate in alternative giving activities on the basis of prosocial motives or for other reasons? Through a content analysis of the online Freecycle Network, we found that participation is driven primarily by fundamental consumer needs and wants, though other prosocial, less materialistic factors are also drivers. Our findings also identify an inconsistency in product categories between what givers offer and what receivers seek, suggesting that supply–demand imbalances can emerge within alternative giving communities.