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International audience; Music is often intimately linked to identity, as evidenced by the high value many people place on musical activities and the way in which music can become seemingly effortlessly coupled to important memories from throughout one’s lifespan. Previous research has revealed a consistent reminiscence bump in autobiographical memory—the disproportionate recall of memories from between ages 10 to 30 years in comparison with other lifetime periods—which also appears to extend to music-related memories. The present study represents one of the largest explorations of the musical reminiscence bump across adulthood to date. Participants (N = 470; ages 18 to 82 years) were shown the titles and artists of 111 popular songs that had featured in the charts between 1950 and 2015 and rated the degree to which they had autobiographical memories associated with each song, as well as the degree to which they were familiar with and liked the song. We found a reminiscence bump in adolescence (peaking around age 14) for both ratings of the autobiographical salience of songs featured in the charts during that period and the familiarity of these songs. Liking ratings showed more divergent results depending on a participant’s current age, including evidence for a cascading reminiscence bump, in which liking ratings from young adults increased for music from their parents’ adolescent years. We also revealed new evidence that music-related autobiographical memories appear to invoke similar retrieval processes to the common methodology of eliciting autobiographical memories via word cues. We contextualize these results in relation to general theoretical accounts of the reminiscence bump, and age-related differences in the bump are discussed in relation to various sociocultural and technological changes in music listening habits

After losing a close other, individuals usually confide in an empathic friend to receive comfort and they seem to have a heightened desire for mood-congruent, consoling music. Hence, it has been proposed that affect-congruent music acts as a social surrogate for an empathic friend. Thus, we hypothesized that listening to comforting music, as a response to a social loss experience, provides a sense of empathic company as indicated by reduced loneliness and heightened empathy. We further predicted that distracting music would have a stronger impact on the listeners’ mood in comparison to comforting pieces. To test these assumptions, an experiment with two factors was designed: (1) Sadness was induced by an approved guided imagery method where participants visualized either their father dying (social loss), losing their eyesight (non-social loss), or shopping for groceries (control condition). (2) After the mood induction, the listening task included either comforting or distracting music that participants selected themselves. Psychometric measures for mood and loneliness were collected before and after the mood induction and after the music listening. The data were analyzed with mixed model ANOVAs. The results showed a significant reduction of loneliness and a relevant rise in empathy and mood due to listening to self-selected music, irrespective of the listener’s mood or the applied listening strategy, which suggests that private musical engagement in general can provide mood-repair and a sense of connection. This beneficial effect of private musical engagement supports the notion that not only music production but also its perception engenders social cognition. Overall, the findings corroborate the idea of music as a social surrogate.

Previous literature suggests that structural and expressive cues affect the emotion expressed in music. However, only a few systematic explorations of cues have been done, usually focussing on a few cues or a limited amount of predetermined arbitrary cue values. This paper presents three experiments investigating the effect of six cues and their combinations on the music's perceived emotional expression. Twenty-eight musical pieces were created with the aim of providing flexible, ecologically valid, unfamiliar, new stimuli. In Experiment 1, 96 participants assessed which emotions were expressed in the pieces using Likert scale ratings. In Experiment 2, a subset of the stimuli was modified by participants (N = 42) via six available cues (tempo, mode, articulation, pitch, dynamics, and brightness) to convey seven emotions (anger, sadness, fear, joy, surprise, calmness, and power), addressing the main aim of exploring the impact of cue levels to expressions. Experiment 3 investigated how well the variations of the original stimuli created by participants in Experiment 2 expressed their intended emotion. Participants (N = 91) rated them alongside the seven original pieces, allowing the exploration of similarities and differences between the two sets of related pieces. An overall pattern of cue combinations was identified for each emotion. Some findings corroborate previous studies: mode and tempo were the most impactful cues in shaping emotions, and sadness and joy were amongst the most accurately recognised emotions. Novel findings include soft dynamics being used to convey anger, and dynamics and brightness being the least informative cues. These findings provide further motivation to investigate the effect of cues on emotions in music as combinations of multiple cues rather than as individual cues, as one cue might not give enough information to portray a specific emotion. The new findings and discrepancies are discussed in relation to current theories of music and emotions.

Acoustic and musical components of consonance and dissonance perception have been recently identified. This study expands the range of predictors of consonance and dissonance by three analytical operations. In Experiment 1, we identify the underlying structure of a number of central predictors of consonance and dissonance extracted from an extensive dataset of chords using a hierarchical cluster analysis. Four feature categories are identified largely confirming the existing three categories (roughness, harmonicity, familiarity), including spectral envelope as an additional category separate from these. In Experiment 2, we evaluate the current model of consonance/dissonance by Harrison and Pearce by an analysis of three previously published datasets. We use linear mixed models to optimize the choice of predictors and offer a revised model. We also propose and assess a number of new predictors representing familiarity. In Experiment 3, the model by Harrison and Pearce and our revised model are evaluated with nine datasets that provide empirical mean ratings of consonance and dissonance. The results show good prediction rates for the Harrison and Pearce model (62%) and a still significantly better rate for the revised model (73%). In the revised model, the harmonicity predictor of Harrison and Pearce’s model is replaced by Stolzenburg’s model, and a familiarity predictor coded through a simplified classification of chords replaces the original corpus-based model. The inclusion of spectral envelope as a new category is a minor addition to account for the consonance/dissonance ratings. With respect to the anatomy of consonance/dissonance, we analyze the collinearity of the predictors, which is addressed by principal component analysis of all predictors in Experiment 3. This captures the harmonicity and roughness predictors into one component; overall, the three components account for 66% of the consonance/dissonance ratings, where the dominant variance explained comes from familiarity (46.2%), followed by roughness/harmonicity (19.3%).