| Title |
The influence of induced mood on music preference
|
|---|---|
| Published in |
Cognitive Processing, July 2018
|
| DOI | 10.1007/s10339-018-0872-7 |
| Pubmed ID | |
| Authors |
Chao Xue, Tian Li, Shufei Yin, Xinyi Zhu, Yuxin Tan |
| Abstract |
The purpose of this study was to clarify the impact of different self-centered moods on music preference without listening to music. Participants' affective state (sad vs. happy vs. neutral) were experimentally manipulated through the mood induction procedure, and then their preferences for music were ascertained through self-reports. To understand participants' internal motivations for their choices, we also asked them to indicate how appropriate he/she felt it would be to select the different music types as well as why they made such choices. Results suggested that participants in a sad mood were inclined to listen to sad (and slow) music, those in a happy mood preferred to listen to happy (and fast) music, and those in a neutral mood did not consistently prefer to listen to neutral music. In addition, participants were averse to sad music when they were in a happy or neutral mood; while they showed no aversion to happy music when they were in a sad mood. In conclusion, individuals select valence-consistent music when they are in an autobiographical memory-induced mood state. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Researcher | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 35 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 27% |
| Nursing and Health Professions | 4 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Social Sciences | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 40 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2018.
All research outputs
#15,720,362
of 23,358,705 outputs
Outputs from Cognitive Processing
#192
of 340 outputs
Outputs of similar age
#209,723
of 327,752 outputs
Outputs of similar age from Cognitive Processing
#6
of 6 outputs
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