scholarly journals How to Detect Altruists: Experiments Using a Zero-Acquaintance Video Presentation Paradigm

Author(s):  
Ryo Oda ◽  
Tomomi Tainaka ◽  
Kosuke Morishima ◽  
Nobuho Kanematsu ◽  
Noriko Yamagata-Nakashima ◽  
...  

AbstractIn this study, we investigated the cognitive processes and nonverbal cues used to detect altruism in three experiments based on a zero-acquaintance video presentation paradigm. Cognitive mechanisms of altruism detection are thought to have evolved in humans to prevent subtle cheating. Several studies have demonstrated that people can correctly estimate levels of altruism in others. In this study, we asked participants to distinguish altruists from non-altruists in video clips using the Faith game. Participants decided whether they could trust allocation of money to the targets who were videotaped while talking to the experimenter. In our first experiment, we asked the participants to play the Faith game under cognitive load. The accuracy of altruism detection was not reduced when participants simultaneously performed a cognitive task, suggesting that altruist detection is rapid and effortless. In the second experiment, we investigated the effects of affective status on the accuracy of altruism detection. Compared with participants in a positive mood, those in a negative mood were more hesitant to trust videotaped targets. However, the accuracy with which altruism levels were detected did not change when we manipulated participants’ moods. In the third experiment, we investigated the facial cues by which participants detected altruists. Participants could not detect altruists when the upper half of the target’s face was hidden, suggesting that judgment cues exist around the eyes. We also conducted a meta-analysis on the effect size in each experimental condition to verify the robustness of altruism detection ability.

2019 ◽  
Vol 23 (3) ◽  
pp. 397-418 ◽  
Author(s):  
Goran Calic ◽  
Sebastien Hélie ◽  
Nick Bontis ◽  
Elaine Mosakowski

PurposeExtant paradox theory suggests that adopting paradoxical frames, which are mental templates adopted by individuals in order to embrace contradictions, will result in superior firm performance. Superior performance is achieved through learning and creativity, fostering flexibility and resilience and unleashing human capital. The creativity mechanism of paradox theory is limited by a few propositions and a rough underlying theoretical logic. Using the extant theoretical base as a platform, the paper aims to develop a more powerful theory using a computational simulation.Design/methodology/approachThis paper relies on a psychologically realistic computer simulation. Using a simulation to generate ideas from stored information, one can model and manipulate the parameters that have been shown to mediate the relationship between paradoxes and creative output – defined as the number of creative ideas generated.FindingsSimulation results suggest that the relationship between paradoxical frames and creative output is non-monotonic – contrary to previous studies. Indeed, findings suggest that paradoxical frames can reduce, rather than enhance, creative output, in at least some cases.Originality/valueAn important benefit of adopting paradoxical frames is their capacity to increase creative output. This assumption is challenging to test, because one cannot measure private cognitive processes related to knowledge creation. However, they can be simulated. This allows for the extension of current theory. This new theory depicts a more complete relationship between paradoxical frames and creativity by accounting for subjective differences in how paradoxical frames are experienced along two cognitive mechanisms – differentiation and integration.


2017 ◽  
Author(s):  
Felix Engelmann ◽  
Lena A. Jäger ◽  
Shravan Vasishth

We present a comprehensive empirical evaluation of the ACT-R-based model of sentence processing developed by Lewis & Vasishth (2005) (LV05). The predictions of the model are compared with the results of a recent meta-analysis of published reading studies on retrieval interference in reflexive-/reciprocal-antecedent and subject-verb dependencies (Jäger, Engelmann, & Vasishth, 2017). The comparison shows that the model has only partial success in explaining the data; and we propose that its prediction space is restricted by oversimplifying assumptions. We then implement a revised model that takes into account differences between individual experimental designs in terms of the prominence of the target and the distractor in memory and context-dependent cue-feature associations. The predictions of the original and the revised model are quantitatively compared with the results of the meta-analysis. Our simulations show that, compared to the original LV05 model, the revised model accounts for the data better. The results suggest that effects of prominence and variable cue-feature associations need to be considered in the interpretation of existing empirical results and in the design and planning of future experiments. With regard to retrieval interference in sentence processing and to the broader field of psycholinguistic studies, we conclude that well-specified models in tandem with high-powered experiments are needed in order to uncover the underlying cognitive processes.


2020 ◽  
Author(s):  
Arkady Zgonnikov ◽  
David Abbink ◽  
Gustav Markkula

Laboratory studies of abstract, highly controlled tasks point towards noisy evidence accumulation as a key mechanism governing decision making. Yet it is unclear whether the cognitive processes implicated in simple, isolated decisions in the lab are as paramount to decisions that are ingrained in more complex behaviors, such as driving. Here we aim to address the gap between modern cognitive models of decision making and studies of naturalistic decision making in drivers, which so far have provided only limited insight into the underlying cognitive processes. We investigate drivers' decision making during unprotected left turns, and model the cognitive process driving these decisions. Our model builds on the classical drift-diffusion model, and emphasizes, first, the drift rate linked to the relevant perceptual quantities dynamically sampled from the environment, and, second, collapsing decision boundaries reflecting the dynamic constraints imposed on the decision maker’s response by the environment. We show that the model explains the observed decision outcomes and response times, as well as substantial individual differences in those. Through cross-validation, we demonstrate that the model not only explains the data, but also generalizes to out-of-sample conditions, effectively providing a way to predict human drivers’ behavior in real time. Our results reveal the cognitive mechanisms of gap acceptance decisions in human drivers, and exemplify how simple cognitive process models can help us to understand human behavior in complex real-world tasks.


2018 ◽  
Vol 30 (11) ◽  
pp. 1734-1748 ◽  
Author(s):  
Julia Wertheim ◽  
Marco Ragni

It is a core cognitive ability of humans to represent and reason about relational information, such as “the train station is north of the hotel” or “Charles is richer than Jim.” However, the neural processes underlying the ability to draw conclusions about relations are still not sufficiently understood. Central open questions are as follows: (1) What are the neural correlates of relational reasoning? (2) Where can deductive and inductive reasoning be localized? (3) What is the impact of different informational types on cerebral activity? For that, we conducted a meta-analysis of 47 neuroimaging studies. We found activation of the frontoparietal network during both deductive and inductive reasoning, with additional activation in an extended network during inductive reasoning in the basal ganglia and the inferior parietal cortex. Analyses revealed a double dissociation concerning the lateral and medial Brodmann's area 6 during deductive and inductive reasoning, indicating differences in terms of processing verbal information in deductive and spatial information in inductive tasks. During semantic and symbolic tasks, the frontoparietal network was found active, whereas geometric tasks only elicited prefrontal activation, which can be explained by the reduced demand for the construction of a mental representation in geometric tasks. Our study provides new insights into the cognitive mechanisms underlying relational reasoning and clarifies previous controversies concerning involved brain areas.


2018 ◽  
Vol 373 (1756) ◽  
pp. 20170281 ◽  
Author(s):  
M. Cauchoix ◽  
P. K. Y. Chow ◽  
J. O. van Horik ◽  
C. M. Atance ◽  
E. J. Barbeau ◽  
...  

Behavioural and cognitive processes play important roles in mediating an individual's interactions with its environment. Yet, while there is a vast literature on repeatable individual differences in behaviour, relatively little is known about the repeatability of cognitive performance. To further our understanding of the evolution of cognition, we gathered 44 studies on individual performance of 25 species across six animal classes and used meta-analysis to assess whether cognitive performance is repeatable. We compared repeatability ( R ) in performance (1) on the same task presented at different times (temporal repeatability), and (2) on different tasks that measured the same putative cognitive ability (contextual repeatability). We also addressed whether R estimates were influenced by seven extrinsic factors (moderators): type of cognitive performance measurement, type of cognitive task, delay between tests, origin of the subjects, experimental context, taxonomic class and publication status. We found support for both temporal and contextual repeatability of cognitive performance, with mean R estimates ranging between 0.15 and 0.28. Repeatability estimates were mostly influenced by the type of cognitive performance measures and publication status. Our findings highlight the widespread occurrence of consistent inter-individual variation in cognition across a range of taxa which, like behaviour, may be associated with fitness outcomes. This article is part of the theme issue ‘Causes and consequences of individual differences in cognitive abilities’.


2020 ◽  
Vol 32 (3) ◽  
pp. 484-496 ◽  
Author(s):  
Manuel P. Klaus ◽  
Gerda C. Wyssen ◽  
Sebastian M. Frank ◽  
Wilhelm M. Malloni ◽  
Mark W. Greenlee ◽  
...  

There is growing evidence that vestibular information is not only involved in reflexive eye movements and the control of posture but it also plays an important role in higher order cognitive processes. Previous behavioral research has shown that concomitant vestibular stimuli influence performance in tasks that involve imagined self-rotations. These results suggest that imagined and perceived body rotations share common mechanisms. However, the nature and specificity of these effects remain largely unknown. Here, we investigated the neural mechanisms underlying this vestibulocognitive interaction. Participants ( n = 20) solved an imagined self-rotation task during caloric vestibular stimulation. We found robust main effects of caloric vestibular stimulation in the core region of the vestibular network, including the rolandic operculum and insula bilaterally, and of the cognitive task in parietal and frontal regions. Interestingly, we found an interaction of stimulation and task in the left inferior parietal lobe, suggesting that this region represents the modulation of imagined body rotations by vestibular input. This result provides evidence that the inferior parietal lobe plays a crucial role in the neural integration of mental and physical body rotation.


2020 ◽  
pp. 216770262095363
Author(s):  
T. H. Stanley Seah ◽  
Lindsey M. Matt ◽  
Karin G. Coifman

Self-distancing is associated with adaptive emotion regulation (ER), thereby making it a common treatment target across psychotherapies. However, less is known about cognitive processes that facilitate self-distancing. Working memory capacity (WMC) has been associated with self-distancing and ER, although research has not directly examined WMC and spontaneous self-distancing activity. Here, we tested the association between WMC and self-distancing (indexed by pronoun use) in relation to ER during a negative-mood induction in college students ( N = 209). Results suggested a mediation model: Higher WMC predicted lower I and greater we pronouns (i.e., greater self-distancing), which in turn predicted lower negative affect. Furthermore, higher WMC predicted greater we pronouns, which predicted higher positive affect. No significant mediation was observed for you. These findings enrich current theoretical models describing WMC and self-distancing in ER and suggest important future research to further elucidate the cognitive processes underlying self-distancing with implications for clinical practice.


Author(s):  
Leonid Perlovsky ◽  
Gary Kuvich

Mind is based on intelligent cognitive processes, which are not limited by language and logic only. The thought is a set of informational processes in the brain, and such processes have the same rationale as any other systematic informational processes. Their specifics are determined by the ways of how brain stores, structures, and process this information. Systematic approach allows representing them in a diagrammatic form that can be formalized. Semiotic approach allows for the universal representation of such diagrams. In that approach, logic is a way of synthesis of such structures, which is a small but clearly visible top of the iceberg. The most efforts were traditionally put into logics without paying much attention to the rest of the mechanisms that make the entire thought system working autonomously. Dynamic fuzzy logic is reviewed and its connections with semiotics are established. Dynamic fuzzy logic extends fuzzy logic in the direction of logic-processes, which include processes of fuzzification and defuzzification as parts of logic. The paper reviews basic cognitive mechanisms, including instinctual drives, emotional and conceptual mechanisms, perception, cognition, language, a model of interaction between language and cognition upon the new semiotic models. The model of interacting cognition and language is organized in an approximate hierarchy of mental representations from sensory percepts at the “bottom” to objects, contexts, situations, abstract concepts-representations, and to the most general representations at the “top” of mental hierarchy. Knowledge Instinct and emotions are driving feedbacks for these representations. Interactions of bottom-up and top-down processes in such hierarchical semiotic representation are essential for modeling cognition. Dynamic fuzzy logic is analyzed as a fundamental mechanism of these processes. Future research directions are discussed.


2008 ◽  
Vol 22 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Jon K. Maner ◽  
Todd K. Shackelford

Penke and Asendorpf (European Journal Of Personality, vol 21, this issue) argue compellingly that research on jealousy would benefit from more direct investigation of cognitive processes, and report on research providing mixed evidence for sex differences in jealousy. We identify three limitations to the empirical approach utilised by Penke and Asendorpf, and highlight novel conceptual and methodological approaches for directly examining the basic cognitive mechanisms associated with jealousy and intrasexual rivalry. Investigating the basic cognition of intrasexual rivalry will help expand the scope of jealousy‐related research. Copyright © 2007 John Wiley & Sons, Ltd.


2007 ◽  
Vol 11 (3) ◽  
pp. 258-285 ◽  
Author(s):  
Natascha de Hoog ◽  
Wolfgang Stroebe ◽  
John B. F. de Wit

This meta-analysis of studies of the persuasive impact of fear appeals evaluated the contribution of our stage model of the processing of fear-arousing communications relative to other fear appeal theories. In contrast to other theories, our stage model (a) specifies the cognitive processes underlying persuasion through fear-arousing communications, (b) proposes that threat-induced defensive processing does not interfere with the effectiveness of fear-arousing communications but actually contributes to it, and (c) predicts that vulnerability and severity manipulations have differential effects on measures of attitude as compared with intention and behavior. To evaluate these predictions, the authors expanded on previous meta-analyses by assessing the independent as well as joint effects of vulnerability to and severity of a risk, both on information processing and on measures of persuasion (attitude, intention, behavior). Overall, findings were consistent with the stage model. The theoretical and practical implications of these findings are discussed.


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