|
Electronic Musicological Review |
|||
Volume IX - October 2005 |
home . about . editors . issues . submissions . pdf version
Mood, Music, and Involvement:
The Moderating Effects of PersonalityKari Kallinen, Timo Saari, Niklas Ravaja, Jari Laarni
(Knowledge Media Laboratory, Center for Knowledge and Innovation Research,
Helsinki School of Economics)
Abstract: We examined the role of personality (i.e., impulsive sensation seeking [ImpSS] and self-transcendence [ST]) in the effects of autobiographically induced mood and emotional music on subjective involvement in music in 48 subjects. Participants listened to music after a mood induction. Both music and induction varied in the dimensions of valence (pleasant and unpleasant) and arousal (high and low). After listening, involvement in music was assessed using a self-report measure that consisted of four 7-point scale items (e.g., “When I listened to music, I felt I was intensely absorbed in it”). We found that high ST scorers were more involved in listening to music than low ST scorers. We also found that (a) in connection with the valence dimension of emotion, high ImpSS scorers were more involved in the pleasant music regardless of the valence of induction, whereas, in line with mood-congruency theory, among low ImpSS scorers the pleasant music after the pleasant induction, and the unpleasant music after the unpleasant induction prompted the highest levels of involvement, and (b) in connection with the arousal dimension of emotion high ImpSS scorers seem to prefer high stimulation (in terms of high arousal music) both in connection with the pleasant and the unpleasant music, whereas low ImpSS scorers preferred high-arousal music in connection with the pleasant and low arousal music in connection with the unpleasant music.
Background
Listening to music has become fully imbedded in daily life. People listen to
music, for example, to relax and to get themselves into a good mood, as well
as background music in connection with a wide range of everyday activities,
such as doing housework or driving a car (Sloboda, O'Neill,
& Ivaldi, 2001). Portable devices (such as CD player
and mobile phones) and other new technologies (such as an Internet) are expanding
the uses of music in everyday life.
When perceiving information (e.g., music) via media and communication technology
(e.g., stereos, TVs, or portable CD players) people have a feeling of presence.
In presence, the mediated information becomes the focused object of perception,
while the immediate, external context, including the technological device, fades
into the background. Thus, from one perspective, presence can be seen as psychological
immersion, which refers to the degree of involvement and attention to stimuli
(see Witmer & Singer, 1998). Empirical
studies have shown that there may be individual differences in involvement and
that emotions, in turn, have effects on the evaluation and involvement in a
media stimulus (see e.g., Sedikides, 1992).
However, there is practically no previous research on the role of personality
in the level of involvement in connection with pre-existing mood and music.
According to a dimensional view of emotions, large amounts of variation in emotions
can be located in a two-dimensional space, with coordinates of valence and arousal
(Larsen & Diener, 1992). The valence
dimension refers to the hedonic quality of an affective experience and ranges
from unpleasant to pleasant. The arousal dimension refers to the perception
of arousal associated with such an experience, and ranges from very calm or
sleepy at one extreme to very excited or energized at the other. In the present
study, mood and music was defined in terms of the four affective feeling states
that provide high and low end points on the aforementioned axes: high-arousal
pleasant (i.e., activated pleasant affect), low-arousal pleasant (i.e., unactivated
pleasant effect), high-arousal unpleasant (i.e., activated unpleasant affect)
and low-arousal unpleasant (i.e., unactivated unpleasant affect).
In addition to mood and music per se, it is also reasonable to expect that (a)
a pre-existing mood may interact with the emotional tone of music and (b) there
are subjective moderator variables (e.g., personality) in predicting involvement.
In our previous study, we found that a pleasant induction elicited higher involvement
than an unpleasant induction and pleasant music elicited higher involvement
than unpleasant music (Kallinen, Saari, & Ravaja, submitted).
We also found that, in connection with the arousal dimension of emotion the
interaction between mood induction and music supported the mood congruency theory:
high-arousal music elicited higher involvement after high-arousal induction
than after low-arousal induction, whereas in regard to low-arousal music the
reverse was true. However, in connection with the valence dimension of emotion,
we found that pleasant music elicited higher involvement regardless of the valence
of induction, thus supporting the idea that generally people listen to music
to get into a good mood.
In the present study, we wanted to examine whether personality moderates the
aforementioned results. In this paper we used the impulsive sensation seeking
scale (ImpSS) from the Zuckerman, Kuhlman, Joiremann, Teta, & Kraft’s
(1993) model of personality and
the Cloninger, Svrakic, and Przybeck’s (1993)
subdivision of self-forgetfulness vs. self-consciousness of self-transcendence
(ST1) from the model of character, to assess the potential personality related
differences in responses to music. The ImpSS scale describes a tendency to act
impulsively and a general need for thrills and excitement, thus potentially
moderating the responses to music. It has been found, for example, that extroverts
and high sensation seekers show a tendency to seek stimulation in order to raise
their arousal to hedonic optimal levels (see e.g., Zuckerman,
1990). The ST1 dimension of character was also considered
relevant in connection with music, given the spiritual and transcendent functions
of music in people’s life (see e.g., Sloboda, O’Neill, & Ivaldi,
2001). The self-forgetfulness versus self-consciousness describes the experienced
transience of listeners when they are totally absorbed, intensely focused, and
fascinated on one subject (e.g., “lose themselves into music”).
The ST1 scale resembles Tellegen’s (Tellegen &
Atkinson, 1974) absorption scale, which also describes
the individual’s ability to become engaged in the (musical) experience.
Aims
The focus of the present paper was to examine the role of personality in the
effects of mood and music on self-reported involvement. Given that the ST1 scale
describes the individual’s ability to become involved in a stimulus, we
expected that high ST1 scorers would be more involved in music listening than
low ST1 scorers (Hypothesis 1). Given that the ImpSS scale describes a general
need for thrills and excitement, we expected that high ImpSS scorers would be
more involved in high-arousal music than low-arousal music, whereas for low
ImpSS scorers the opposite would be true (Hypothesis 2). Given also that ImpSS
correlates strongly with sensitivity for positive cues (i.e., with behavioural
activation sensitivity [BAS] and especially with the fun seeking subscale of
BAS, see Kallinen & Ravaja, 2004),
we also expected that high ImpSS scorers would be more involved in pleasant
than unpleasant music (Hypothesis 3).
Method
1.Subjects
Forty-eight subjects with varying educational backgrounds participated in the
study in return for two movie tickets. The subjects were 21 men and 28 women
ranging from 21 to 51 years of age (M = 25), who listen to classical
music on average 2.2 hours a week (SD = 1.5). Most of the subjects
had little or no musical education (M = 2.97, SD = 2.10, in
7-point scale). The subjects had normal visual and hearing capabilities.
2.Mood induction
Mood was induced by autobiographical memories varying in affective valence and
arousal. There was one mood induction for each of the following emotion categories:
high-arousal pleasant (i.e., Joy), low-arousal pleasant (i.e., relaxation),
high-arousal unpleasant (i.e., fear), and low-arousal unpleasant (i.e., depression).
3.Music
We chose 8 one-minute long pieces from the classical music repertoire on the
basis of ratings in our earlier studies (see e.g., Kallinen,
in press), which differed in terms of valence (i.e.,
pleasant, unpleasant) and arousal (i.e., high, low). Correspondingly to the
emotional dimensions in mood inductions, there were two pieces of music for
each of the following emotions: high-arousal pleasant (i.e., Final
from Saint Saens’s Carnival of Animals and Vivace from
Haydn’s, Piano concerto in D), low-arousal pleasant (i.e., Bach’s
Inventio No. 8 in F and Marini’s Passacaglia), high-arousal
unpleasant (i.e., from the beginning of Borodin’s Symphony No. 2 and from
the beginning of Mussorgsky’s Night on the bare mountain, and
low-arousal unpleasant (i.e., from the beginning of the part 1 of Beethoven’s
Symphony No. 4 and from the beginning of the Romanze from Schumann’s,
Symphony No. 4).
4.Measures
Involvement was assessed using a self report measure consisting of the following
four items: “when I listened to music, I felt clear and concentrated”;
“It would have been difficult to stop listening to music”; “While
and after listening to music I noticed that I have lost my sense of time and
location”; “When I listened to music, I felt I was intensely absorbed
in it”. Each of the items was rated on a 7-point scale, ranging from 1
(very untrue for me) to 7 (very true for me). The sum of the 4 items was used
as an index of involvement. The scales were presented on a computer screen.
Mean reliability of the scale (in 32 measurements) was acceptable (Alpha = .77,
SD = .06; see Nunnaly, 1978).
The ImpSS scale from the Zuckerman-Kuhlman Personality Questionnaire was used
to assess the participants’ impulsivity and sensation seeking (Zuckerman
et. al., 1993). The ImpSS scale consists of 19 items (e.g., “I
tend to begin a new job without much advance planning on how I will do it”).
The 11-item subscale (ST1) of Cloninger et al’s (1993) self-report
measure of self-transcendence was used to assess participants’ self-forgetful
vs. self-consciousness dimensions of character (e.g., “Often when I am
concentrating on something, I lose awareness of the passage of time” and
“Sometimes I felt like I was part of something with no limits or boundaries
in time and space”). Each of the items was rated on a 5-point scale, ranging
from 1 (very untrue for me) to 5 (very true for me). High values represent high
instances of self-forgetfulness (and low self-consciousness), and low values
represent high instances of self-consciousness (and low self-forgetfulness).
5.Procedure
After a brief description of the experiment, the participant was asked to write
a description of an event or a situation that evoked each of four emotions—joy
(delight), relaxation, fear, and depression—most powerfully in his or
her own life. We emphasized to the participants that the success of the experiment
depended on the truthfulness of his or her descriptions. Given the potentially
sensitive nature of the events, to facilitate the creation of truthful descriptions,
the participant was told that he or she should not show the descriptions to
the experimenter, and that, when leaving the experiment, he or she could take
the descriptions with him or her.
The participant was then seated in a comfortable armchair. Each of the 8 music
pieces was paired with different mood inductions to consist of the total of
32 different trials (8 pieces x 4 induction). Each trial (and an additional
practice trial) consisted of (a) a 15-s mood induction period and (b) a presentation
of music. The participant was instructed that the targeted emotion would be
displayed on the computer screen, after which he or she should (a) read the
appropriate description of an emotional event/situation written by him or her,
(b) indicate that he or she was ready using the keyboard, and (c) create a vivid
image of personally experiencing and participating in the event/situation for
15 s. The mood induction period ended with a (weak) signal followed by the presentation
of music. After each trial of induction and music, the participant rated his
or her involvement in music using the four 7-point scales. The 32 trials were
presented in a random order to each participant.
The participant was asked to keep his or her eyes closed during the induction
and music, and told that he or she should concentrate on listening to music.
The experiment was conducted in a dimly illuminated and sound attenuated laboratory
room. After the 32 trials consisting of induction and music, the participant
was debriefed, and thanked for his or her participation.
6.Data-analysis
The data on the involvement ratings were pooled over the individual two pieces
representing the same emotion (i.e., high-arousal pleasant, low-arousal pleasant,
high-arousal unpleasant, and low-arousal unpleasant). Data were then analysed
by the General Linear Model (GLM) Repeated Measures procedure in SPSS, with
four, i.e., valence of music (pleasant, unpleasant), arousal of music (high,
low), valence of induction (pleasant, unpleasant), and arousal of induction
(high, low) as within-subjects factors. Continuous independent variables (i.e.,
personality measures [ST1, ImpSS]) were used, each in turn, as a covariate.
Results
The GLM Repeated Measures analysis revealed significant main effect for ST1,
F(1,46) = 6.19, p = .017, in predicting involvement. High
ST1 scorers were more involved in music than low ST1 scorers (Ms =15.79
and 14.34). The analysis revealed also a significant Arousal of Induction õ
ST1 interaction in predicting involvement in music, F(1,46) = 4.54,
p = .039. Low-arousal induction elicited higher involvement in music
than high-arousal induction among low ST1 scorers (Ms = 14.68 and 14.01),
whereas among high ST1 scorers there was no significant difference (Ms
= 15.77 and 15.81).
In predicting involvement in music, a significant Valence of Music x Valence
of Induction x ImpSS interaction was revealed, F(1,46) = 5.63, p = .022. As
illustrated in figure 1, among low ImpSS scorers, pleasant music elicited higher
involvement ratings than unpleasant music after a pleasant rather than an unpleasant
induction, and unpleasant music elicited higher involvement ratings than pleasant
music after an unpleasant induction than a pleasant induction (left panel).
However, among high ImpSS scorers pleasant music elicited higher involvement
both after pleasant and unpleasant induction (right panel).
The analysis revealed also a significant Valence of Music x Arousal of Music
x ImpSS, F(1,46) = 6.50, p = .014, interaction in predicting
involvement ratings. As illustrated in figure 2, (a) in connection with pleasant
music among low ImpSS scorers the high arousal music prompted higher involvement
than low arousal music, whereas among high ImpSS scorers there was no difference,
and (b) in connection with unpleasant music, among low ImpSS scorers the low
arousal music prompted higher involvement, whereas among high ImpSS scorers
the opposite was true.
Figure 1. Mean Involvement ratings among low (left panel) and high (right panel) ImpSS scorers as a function of valence of music and valence of induction.
Figure
2. Mean Involvement ratings among low (left panel) and high (right panel) ImpSS
scorers as a function of valence and arousal of music.
Conclusion
In the present paper, we examined the role of personality in the effects of
pre-existing mood, as elicited by autobiographical memories, and music (i.e.,
a priori valence and arousal) on self-reported involvement. As expected (Hypothesis
1), high ST1 scorers were more involved in listening to music than low ST1 scorers.
Reasonably, high ST1 scorers are more likely to get more involved in music listening
than low ST1 scorers, given that the ST1 scale describe the individual’s
general ability to become engaged in an experience. In connection with ST1 dimension
of character, we also found that low-arousal induction elicited higher involvement
in music than high-arousal induction among low St1 scorers, whereas among high
ST1 scorers there was no significant difference. We argued that low ST1 scorers
(who are generally less sensitive to involvement by stimuli), may have had an
easier time engaging in listening to music during relaxing low-arousal music
than during stimulating high-arousal music. However, this argument needs to
be validated in further studies.
In regard to ImpSS dimension of personality, we observed that among low ImpSS
scorers pleasant music elicited higher involvement ratings than unpleasant music
after pleasant than unpleasant induction, and unpleasant music elicited higher
involvement ratings than pleasant music after unpleasant than pleasant induction,
thus giving support for mood congruency theory (see e.g.,
Rusting, 1998). However, among high ImpSS scorers pleasant
music elicited higher involvement both after a pleasant and an unpleasant induction,
giving partial support for our hypothesis 3, which stated that high ImpSS scorers
would be more involved in pleasant than unpleasant music (because they would
be more sensitive for positive cues). We found no direct support for our hypothesis
2, stating that high ImpSS scorers would be more involved in high arousing stimuli
than low arousing stimuli, whereas for low ImpSS scorers the opposite would
be true. However, we found that in connection with unpleasant valence of music,
low ImpSS scorers were more involved in music during low-arousal, but high ImpSS
scorers during high-arousal music. The result suggests that high ImpSS scorers
might prefer high-arousal stimuli even though unpleasant, whereas low ImpSS
scorers might want to minimize stimulation in a negative context. However, these
notions must remain conjectural and need to be further examined.
In summary, the present investigation showed that personality moderated the
involvement in music derived from pre-existing moods and music varying in affective
valence and arousal. The results are of importance, given that music is one
of the most commonly used media but yet under explored in connection with subjective
presence in terms of involvement in music.
References
Carver, C. S., & T. L. White. Behavioral inhibition, behavioral activation,
and affective responses to impending reward and punishment: The BIS/BAS Scales.
Journal of Personality and Social Psychology 67 (1994): 319–333.
Cloninger, C. R., D. M. Svrakic, & T. R. Przybeck.
A Psychobiological model of temperament and character. Archives of General
Psychiatry 50 (1993): 975-990.
Kallinen, K. Emotional Ratings of
Music Excerpts in the Western Art Music Repertoire and their Self-Organisation
in the Kohonen Neural Network. Psychology of Music (in Press).
Kallinen, K., & N. Ravaja. Emotion-related
effects of speech rate and rising vs. falling background music melody during
audio news: the moderating influence of personality. Personality and Individual
Differences 37, no. 2 (2004): 275-288.
Kallinen, K., T. Saari, & N. Ravaja.
Mood, Music, and Involvement. Manuscript submitted for publication.
Larsen, R.J. & E. Diener. 1992.
Promises and problems with the circumplex model of emotion. In Review of
personality and social psychology 13, ed. M. Clark, 25-59. Newbury Park,
CA: Sage.
Nass, C., & K. M. Lee. Does computer-synthesized speech manifest personality?
Experimental tests of recognition, similarity-attraction, and consistency-attraction.
Journal of Experimental Psychology: Applied 7 (2001): 171-181.
Nunnaly, J. Psychometric theory. New York: McGraw-Hill, 1978.
Rusting, C. L. Personality, mood,
and cognitive processing of emotional information: Three conceptual frameworks.
Psychological Bulletin 124 (1998): 165-196.
Sedikides, C. Mood as a determinant
of attentional focus. Cognition and Emotion 6 (1992): 129-148.
Sloboda, J. A., S. A. O'Neill, & A. Ivaldi.
Functions of music in everyday life: an exploratory study using the Experience
Sampling Method. Musicae Scientiae 5 (2001): 9-32.
Tellegen, A. & G. Atkinson. Openness
to absorbing and self-altering experiences ("absorption"), a trait
related to hypnotic susceptibility. Journal of Abnormal Psychology
83 (1974): 268-277.
Witmer, B. & M. Singer. Measuring
Presence in Virtual Environments: A Presence Questionnaire. Presence
7, no. 3 (1998): 225-240.
Zuckerman, M. The
psychophysiology of sensation seeking. Journal of Personality 58 (1990):
313-345.
Zuckerman, M., M. Kuhlman, J. Joiremann, P. Teta, & M. Kraft.
A Comparison of Three Structural Models for Personality: The Big Three, The
Big Five, and the Alternative Five. Journal of Personality and Social Psychology
65, no. 4 (1993): 757-768.