Why expectations do or do not change after expectation violation: A comparison of seven models

Individuals are often confronted with events that violate their expectations, but disconfirming evidence does not always lead to expectation change. We review seven theoretical models on how individuals cope with disconfirming expectations: associative learning theories, the ViolEx Model, the model of coping with expectation disconfirmation (Roese & Sherman, 2007), the Meaning Maintenance Model, the Predictive Processing Framework, Expectancy Violations Theory, and the Expectation-Disconfirmation Model of consumer satisfaction. We focus on the proposed processes that relate to persistence or change of expectations. We discuss similarities and differences between the models. Three core coping processes are identified across most of these models – minimization of the importance of expectation-disconfirming evidence, search for/production of future expectation-confirming evidence, and expectation change. Suggestions for refinements and extensions of the models as well as for future empirical work on model testing are drawn.     

Coping,caring and believing: The embodied work of disaster recovery workers

This paper examines the embodied experiences of coping, caring and believing by disaster recovery workers in Australia in the context of the growing frequency and intensity of disasters, especially bushfires. The study draws on three concepts: faith as performative, embodiment, and the ‘holding environment’ as a system that shapes coping capacity. Faith emerges in the study as having two modalities (introspection and group-communion) that are not synonymous with religious adherence. Instead it is linked to the holding environment, which comprises the strategies that individuals and groups have developed to cope with risks and exposure, through their embodied responses, and the observed responses of others, to the impact of potential and actual harm. The holding environment provides mental, spiritual and physical spaces and practices where disaster recovery workers can safely confide, reflect, debate, grow and heal. These processes, in turn, provide anchor points and sense of purpose. They also accentuate the individual and collective choices we face in terms of mitigating and adapting to growing social and environmental uncertainty with climate change.     

Drivers’ engagement level in Adaptive Cruise Control while distracted or impaired

Adaptive Cruise Control (ACC) is designed for convenience to maintain a set speed and specified distance from a lead vehicle. However, use of ACC may change driving patterns and perceptions over time. Many drivers perceive safety benefits associated with ACC even though the safety implications are not always clear. This study examined the factors that can influence the frequency of ACC use with surveys distributed to ACC owners in Washington State. A cluster analysis was conducted to group drivers based on how often they activated and used ACC under various driving scenarios. Four clusters emerged that showed a range of use from those who rarely used ACC in any situation (low engagement group) to those who used it for almost all situations regardless of whether it is appropriate or not (high engagement group). An ordered logit model was used to predict the likelihood of being in one of the four clusters. Drivers that were less likely to use ACC in distracting or impaired situations tend to be older, were not willing to re-purchase a similar vehicle with ACC, and were generally confused on how to use the cruise speed setting. Drivers who reported higher overall use of ACC also used the system in situations that can be considered distracting or risky, which can negate the overall benefits of ACC.     

Modeling the emergence of informational content by adaptive networks for temporal factorisation and criterial causation

Propagated activation of neurons through their network is an important process in the brain. Another crucial part of neural processing concerns adaptation over time of characteristics of this network such as connection strengths or excitability thresholds. This adaptation can be slow, as in learning from a multiple experiences, or it can be fast, as in memory formation. These adaptive network characteristics can be considered informational criteria for activation of a neuron. This then is viewed as a form of emergent information formation. Activation of neurons is determined by such information via a process termed criterial causation. In the current paper, the relationship of criterial causation with the principle of temporal factorisation for the dynamics of the world in general is explored. Temporal factorisation describes how the world represents information about its past in its present state, which then in turn determines the world’s future. In the paper, it is shown how these processes are analysed in more detail and modeled by (adaptive) network models.     

The Learning Signal in Perceptual Tuning of Speech: Bottom Up Versus Top-Down Information

Cognitive systems face a tension between stability and plasticity. The maintenance of long-term representations that reflect the global regularities of the environment is often at odds with pressure to flexibly adjust to short-term input regularities that may deviate from the norm. This tension is abundantly clear in speech communication when talkers with accents or dialects produce input that deviates from a listener's language community norms. Prior research demonstrates that when bottom-up acoustic information or top-down word knowledge is available to disambiguate speech input, there is short-term adaptive plasticity such that subsequent speech perception is shifted even in the absence of the disambiguating information. Although such effects are well-documented, it is not yet known whether bottom-up and top-down resolution of ambiguity may operate through common processes, or how these information sources may interact in guiding the adaptive plasticity of speech perception. The present study investigates the joint contributions of bottom-up information from the acoustic signal and top-down information from lexical knowledge in the adaptive plasticity of speech categorization according to short-term input regularities. The results implicate speech category activation, whether from top-down or bottom-up sources, in driving rapid adjustment of listeners' reliance on acoustic dimensions in speech categorization. Broadly, this pattern of perception is consistent with dynamic mapping of input to category representations that is flexibly tuned according to interactive processing accommodating both lexical knowledge and idiosyncrasies of the acoustic input.