An experience sampling study of emotional reactions to music: listener, music, and situation

The Experience Sampling Method was used to explore emotions to music as they naturally occurred in everyday life, with a focus on the prevalence of different musical emotions and how such emotions are related to various factors in the listener, the music, and the situation. Thirty-two college students, 20 to 31 years old, carried a palmtop that emitted a sound signal seven times per day at random intervals for 2 weeks. When signaled, participants were required to complete a questionnaire on the palmtop. Results showed that music occurred in 37% of the episodes, and in 64% of the music episodes, the participants reported that the music affected how they felt. Comparisons showed that happiness-elation and nostalgia-longing were more frequent in episodes with musical emotions, whereas anger-irritation, boredom-indifference, and anxiety-fear were more frequent in episodes with nonmusical emotions. The prevalence of specific musical emotions correlated with personality measures and also varied depending on the situation (e.g., current activity, other people present), thus highlighting the need to use representative samples of situations to obtain valid estimates of prevalence.     

Constructivist coding: learning from selective feedback

Although much learning in real-life environments relies on highly selective feedback about outcomes, virtually all cognitive models of learning, judgment, and categorization assume complete and representative feedback. We investigated empirically the effect of selective feedback on decision making and how people code experience with selective feedback. The results showed that, in contrast to a commonly raised concern, performance was not impaired following learning with selective and biased feedback. Furthermore, even in a simple decision task, the experience that people acquired was not a mere recording of the observed outcomes, but rather a reconstruction from general task knowledge.     

The naïve intuitive statistician: a naïve sampling model of intuitive confidence intervals

The perspective of the na?ve intuitive statistician is outlined and applied to explain overconfidence when people produce intuitive confidence intervals and why this format leads to more overconfidence than other formally equivalent formats. The na?ve sampling model implies that people accurately describe the sample information they have but are na?ve in the sense that they uncritically take sample properties as estimates of population properties. A review demonstrates that the na?ve sampling model accounts for the robust and important findings in previous research as well as provides novel predictions that are confirmed, including a way to minimize the overconfidence with interval production. The authors discuss the na?ve sampling model as a representative of models inspired by the na?ve intuitive statistician.     

Communication of emotions in vocal expression and music performance: different channels,same code?

Many authors have speculated about a close relationship between vocal expression of emotions and musical expression of emotions. but evidence bearing on this relationship has unfortunately been lacking. This review of 104 studies of vocal expression and 41 studies of music performance reveals similarities between the 2 channels concerning (a) the accuracy with which discrete emotions were communicated to listeners and (b) the emotion-specific patterns of acoustic cues used to communicate each emotion. The patterns are generally consistent with K. R. Scherer's (1986) theoretical predictions. The results can explain why music is perceived as expressive of emotion, and they are consistent with an evolutionary perspective on vocal expression of emotions. Discussion focuses on theoretical accounts and directions for future research.     

Exemplar effects in categorization and multiple-cue judgment

Categorization and multiple-cue judgment are similar tasks, but the influential models in the two areas are different in terms of the computations, processes, and neural substrates that they imply. In categorization, exemplar memory is often emphasized, whereas multiple-cue judgment generally is interpreted in terms of integration of cues that have been abstracted in training. In 3 experiments the authors investigated whether these conclusions derive from genuine differences in the processes or are accidental to the different research methods. The results revealed large individual differences and a shift from exemplar memory to cue abstraction when the criterion is changed from a binary to a continuous variable, especially for a probabilistic criterion. People appear to switch between qualitatively distinct processes in the 2 tasks.     

Can attentional theory explain the inverse base rate effect? Comment on Kruschke (2001)

In J. K. Kruschke's (2001; see record 2001-18940-005) study, it is argued that attentional theory is the sole satisfactory explanation of the inverse base rate effect and that eliminative inference (P. Juslin, P. Wennerholm, & A. Winman, 2001; see record 2001-07828-016) plays no role in the phenomenon. In this comment, the authors demonstrate that, in contrast to the central tenets of attentional theory, (a) rapid attention shifts as implemented in ADIT decelerate learning in the inverse base-rate task and (b) the claim that the inverse base-rate effect is directly caused by an attentional asymmetry is refuted by data. It is proposed that a complete account of the inverse base-rate effect needs to integrate attention effects with inference rules that are flexibly used for both induction and elimination.     

Estrogen treatment alleviates NMDA-antagonist induced hippocampal LTP blockade and cognitive deficits in ovariectomized mice

Estrogen is implicated in hippocampus-dependent spatial learning as well as structural organization and electrophysiological properties of the rat hippocampus but little is known about its mechanisms of action in mice. In this study, we investigated pharmacologically whether estrogen interacts with the hippocampal N-methyl-D-aspartate (NMDA) receptors in ovariectomized mice as postulated for rats. Female C57BL/6J mice were ovariectomized at 5 months, and 2 weeks before testing at 12 months, half of them received subcutaneous estrogen pellets containing 0.18 mg of 17 beta-estradiol. The competitive NMDA-antagonist, 3-((+/-)-2-carboxypiperazin-4-yl)-propyl-1-phosphonic acid (CPP), was administered at 5.0 and 10.0 microM to block induction of long-term potentiation (LTP) in the hippocampal slice and intraperitoneally at 0.5, 2.0, and 5.0 mg/kg to impair spatial learning in the water maze. Estrogen treatment shifted the dose-response curve to CPP in both experiments. First, 10 microM CPP blocked the initiation of LTP in all mice, but 5 microM only in ovariectomized non-estrogen-treated mice. Second, final level of acquisition and probe trial performance in the water maze were less affected by high doses of CPP in the estrogen-treated ovariectomized mice than in non-treated group. In control tests for motor side effects, estrogen treatment did not reduce the tendency of CPP to decrease locomotor activity in the open field and impair balance on a rotating rod, and estrogen by itself decreased swimming speed as did CPP, but these effects did not interact. Our findings support the notion that estrogen treatment increases the number of active NMDA-receptors in the mouse hippocampus.