Using Retrieval Cues to Attenuate Return of Fear in Individuals With Public Speaking Anxiety

Even after successful exposure, relapse is not uncommon. Based on the retrieval model of fear extinction (e.g., Vervliet, Craske, & Hermans, 2013), return of fear can occur after exposure due to an elapse of time (spontaneous recovery) or change in context (contextual renewal). The use of external salient stimuli presented throughout extinction (i.e., retrieval cues [RCs]) has been suggested as a potential solution to this problem (Bouton, 2002). The current study examined whether RCs attenuated return of fear in individuals with public speaking anxiety. Sixty-five participants completed a brief exposure while presented with two RC stimuli aimed at a variety of senses (visual, tactile, olfactory, and auditory). Later, half the participants were tested for return of fear in a context different from the exposure context, and the other half in the same context. Half of each context group were presented with the same cues as in exposure, while the other half were not. Return of fear due to an elapse of time, change in context, and effects of RCs were evaluated on subjective, behavioral, and physiological measures of anxiety. Although contextual renewal was not observed, results supported effects of RCs in reducing spontaneous recovery on behavioral and physiological measures of anxiety. There was also evidence that participants who were reminded of feeling anxious during exposure by the RCs benefited more from using them at follow-up, whereas those who perceived the cues as comforting (safety signals) benefited less. Clinical implications of the findings are discussed.     

Comparative difficulty and the strategic regulation of accuracy: The impact of test-list context on monitoring and meta-metacognition

A growing body of research has shown that context manipulations can have little or no impact on accuracy performance, yet still significantly influence metacognitive performance. For example, participants in a test-list context paradigm study one list of words with a medium levels-of-processing task and a second word list with either a shallow or deep task: Recognition for medium words does not differ across conditions, however medium words are significantly more likely to be labeled as “remembered” (vs. merely familiar) if they had been studied with a shallow word list (Bodner & Lindsay, 2003). The goal of the current studies was to extend the test-list context paradigm to strategic regulation (report/withhold recognition test), and broaden it to incorporate different types of stimuli (i.e., face stimuli in place of a medium word list). The paradigm also was modified to include separate answer (studied/new) confidence and decision (report/withhold) confidence ratings at test. Results showed that context did not impact recognition accuracy for faces across the context conditions, however participants were more likely to report (i.e., volunteer) their face responses if they had studied the shallow word list. The results also demonstrated a difference between answer confidence and decision confidence, and the pattern of this difference depended on whether responses were reported or withheld (Experiment 1). Overall, the data are presented as support for the functional account of memory, which views memory states as inferential and attributional rather than static categories.     

Inferring Learners' Knowledge From Their Actions

Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we develop a general framework for automatically making such inferences based on observed actions; this framework is particularly relevant for inferring student knowledge in educational games and other interactive virtual environments. Our approach relies on modeling action planning: We formalize the problem as a Markov decision process in which one must choose what actions to take to complete a goal, where choices will be dependent on one's beliefs about how actions affect the environment. We use a variation of inverse reinforcement learning to infer these beliefs. Through two lab experiments, we show that this model can recover people's beliefs in a simple environment, with accuracy comparable to that of human observers. We then demonstrate that the model can be used to provide real‐time feedback and to model data from an existing educational game.     

Optimierung expositionsbasierter Therapie

Exposure is an effective approach for treating anxiety disorders, although a substantial number of individuals fail to benefit or experience a return of fear. Research results suggest that anxious individuals show deficits in the mechanisms underlying exposure therapy, such as inhibitory learning. Targeting these processes may help improve the efficacy of exposure; however, there has been little discussion of how to implement this model in clinical practice. The primary aim of this paper is to provide examples to clinicians for how to apply this model to optimize exposure therapy, in ways that distinguish it from a fear habituation approach and a belief disconfirmation approach. Optimization strategies include (1) expectancy violation, (2) deepened extinction, (3) occasional reinforced extinction, (4) removal of safety signals, (5) variability, (6) retrieval cues, (7) multiple contexts and (8) affect labeling. Case studies illustrate methods of applying these techniques with a variety of anxiety disorders.