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Examining complexity across domains: relating subjective and objective measures of affective environmental scenes, paintings and music.

ABSTRACT: Subjective complexity has been found to be related to hedonic measures of preference, pleasantness and beauty, but there is no consensus about the nature of this relationship in the visual and musical domains. Moreover, the affective content of stimuli has been largely neglected so far in the study of complexity but is crucial in many everyday contexts and in aesthetic experiences. We thus propose a cross-domain approach that acknowledges the multidimensional nature of complexity and that uses a wide range of objective complexity measures combined with subjective ratings. In four experiments, we employed pictures of affective environmental scenes, representational paintings, and Romantic solo and chamber music excerpts. Stimuli were pre-selected to vary in emotional content (pleasantness and arousal) and complexity (low versus high number of elements). For each set of stimuli, in a between-subjects design, ratings of familiarity, complexity, pleasantness and arousal were obtained for a presentation time of 25 s from 152 participants. In line with Berlyne's collative-motivation model, statistical analyses controlling for familiarity revealed a positive relationship between subjective complexity and arousal, and the highest correlations were observed for musical stimuli. Evidence for a mediating role of arousal in the complexity-pleasantness relationship was demonstrated in all experiments, but was only significant for females with regard to music. The direction and strength of the linear relationship between complexity and pleasantness depended on the stimulus type and gender. For environmental scenes, the root mean square contrast measures and measures of compressed file size correlated best with subjective complexity, whereas only edge detection based on phase congruency yielded equivalent results for representational paintings. Measures of compressed file size and event density also showed positive correlations with complexity and arousal in music, which is relevant for the discussion on which aspects of complexity are domain-specific and which are domain-general.

SUBMITTER: Marin MM

PROVIDER: S-EPMC3745471 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Examining complexity across domains: relating subjective and objective measures of affective environmental scenes, paintings and music.

Marin Manuela M MM Leder Helmut H

PloS one 20130816 8

Subjective complexity has been found to be related to hedonic measures of preference, pleasantness and beauty, but there is no consensus about the nature of this relationship in the visual and musical domains. Moreover, the affective content of stimuli has been largely neglected so far in the study of complexity but is crucial in many everyday contexts and in aesthetic experiences. We thus propose a cross-domain approach that acknowledges the multidimensional nature of complexity and that uses a ...[more]

PMID: 23977295

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Project description:BACKGROUND:Health literacy and numeracy influence many health-related behaviors and outcomes. Health literacy and numeracy have been assessed objectively and subjectively, but interrelationships among the measures and the consistency of their association with health knowledge have not been examined. OBJECTIVE:To increase understanding of the structure and interrelations among objective and subjective health literacy and numeracy and how these constructs relate to knowledge of risk factors of two major diseases. DESIGN:Secondary analysis of cross-sectional survey data, weighted to be representative of the general US population of non-institutionalized adults. PARTICIPANTS:Participants (N?=?1005, 55.2% response rate) were recruited from GfK KnowledgePanel. The unweighted sample included 52% women, 26% racial/ethnic minorities, and 37% with no college experience. MAIN MEASURES:Objective health literacy, subjective health literacy, objective numeracy, subjective numeracy. Objective and perceived knowledge of diabetes and colon cancer risk factors were also assessed. KEY RESULTS:Confirmatory factor analyses indicated that a model with correlated (r?=?0.16-0.56) but separate factors for each of the four literacy/numeracy constructs best fit the data (RMSEA?=?0.055 (95% CI 0.049-0.061), CFI?=?0.94). Consistency between measures in classifying people as having adequate or limited health literacy or numeracy was 60.9-77.1%, depending on the combination of measures. All four literacy/numeracy constructs were independently associated with objective diabetes knowledge and objective colon cancer knowledge (all ps?<?.04). Subjective (but not objective) literacy and numeracy measures were associated with diabetes perceived knowledge (all ps?<?.02). No literacy/numeracy measures were associated with perceived colon cancer knowledge. CONCLUSIONS:We identified objective and subjective health literacy and numeracy as four distinct but related concepts. We also found that each construct accounts for unique variance in objective (but not subjective) disease knowledge. Until research uncovers what psychological processes drive subjective measures (e.g., motivation, self-efficacy), research investigating the relationship between health literacy and health outcomes should consider assessing all four measures.

Project description:BackgroundElectronic mental health interventions for mood disorders have increased rapidly over the past decade, most recently in the form of various systems and apps that are delivered via smartphones.ObjectiveWe aim to provide an overview of studies on smartphone-based systems that combine subjective ratings with objectively measured data for longitudinal monitoring of patients with affective disorders. Specifically, we aim to examine current knowledge on: (1) the feasibility of, and adherence to, such systems; (2) the association of monitored data with mood status; and (3) the effects of monitoring on clinical outcomes.MethodsWe systematically searched PubMed, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials for relevant articles published in the last ten years (2007-2017) by applying Boolean search operators with an iterative combination of search terms, which was conducted in February 2017. Additional articles were identified via pearling, author correspondence, selected reference lists, and trial protocols.ResultsA total of 3463 unique records were identified. Twenty-nine studies met the inclusion criteria and were included in the review. The majority of articles represented feasibility studies (n=27); two articles reported results from one randomized controlled trial (RCT). In total, six different self-monitoring systems for affective disorders that used subjective mood ratings and objective measurements were included. These objective parameters included physiological data (heart rate variability), behavioral data (phone usage, physical activity, voice features), and context/environmental information (light exposure and location). The included articles contained results regarding feasibility of such systems in affective disorders, showed reasonable accuracy in predicting mood status and mood fluctuations based on the objectively monitored data, and reported observations about the impact of monitoring on clinical state and adherence of patients to the system usage.ConclusionsThe included observational studies and RCT substantiate the value of smartphone-based approaches for gathering long-term objective data (aside from self-ratings to monitor clinical symptoms) to predict changes in clinical states, and to investigate causal inferences about state changes in patients with affective disorders. Although promising, a much larger evidence-base is necessary to fully assess the potential and the risks of these approaches. Methodological limitations of the available studies (eg, small sample sizes, variations in the number of observations or monitoring duration, lack of RCT, and heterogeneity of methods) restrict the interpretability of the results. However, a number of study protocols stated ambitions to expand and intensify research in this emerging and promising field.

Dataset Information

Examining complexity across domains: relating subjective and objective measures of affective environmental scenes, paintings and music.

Publications

Examining complexity across domains: relating subjective and objective measures of affective environmental scenes, paintings and music.

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