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Abstract images and words can convey the same meaning.

ABSTRACT: Intuitively, deriving meaning from an abstract image is a uniquely human, idiosyncratic experience. Here we show that, despite having no universally recognised lexical association, abstract images spontaneously elicit specific concepts conveyed by words, with a consistency akin to that of concrete images. We presented a group of naïve participants with abstract picture-word pairs construed as 'related' or 'unrelated' according to a preliminary norming procedure conducted with different participants. Surprisingly, the naïve participants with no prior exposure to the abstract images or any hints regarding their possible meaning, displayed a reaction time priming effect for 'related' versus 'unrelated' picture-word pairs. Critically, this behavioural priming effect, and an associated decrease in N400 mean amplitude indexing semantic priming, both correlated significantly with the degree of relatedness established in the preliminary norming procedure. Given that ratings and electrophysiological measures were obtained in different groups of individuals, our results show that abstract images evoke consistent meaning across observers, as has been shown in the case of music.

SUBMITTER: Kuipers JR

PROVIDER: S-EPMC5940816 | biostudies-other | 2018 May

REPOSITORIES: biostudies-other

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Abstract images and words can convey the same meaning.

Kuipers Jan Rouke JR Jones Manon Wyn MW Thierry Guillaume G

Scientific reports 20180508 1

Intuitively, deriving meaning from an abstract image is a uniquely human, idiosyncratic experience. Here we show that, despite having no universally recognised lexical association, abstract images spontaneously elicit specific concepts conveyed by words, with a consistency akin to that of concrete images. We presented a group of naïve participants with abstract picture-word pairs construed as 'related' or 'unrelated' according to a preliminary norming procedure conducted with different participa ...[more]

PMID: 29740010

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Project description:The relation of abstract concepts to the modality-specific systems is discussed controversially. According to classical approaches, the semantic content of abstract concepts can only be coded by amodal or verbal-symbolic representations distinct from the sensory and motor systems, because abstract concepts lack a clear physical referent. Grounded cognition theories, in contrast, propose that abstract concepts do not depend only on the verbal system, but also on a variety of modal systems involving perception, action, emotion and internal states. In order to contribute to this debate, we investigated the semantic content of abstract concepts using a property generation task. Participants were asked to generate properties for 296 abstract concepts, which are relevant for constituting their meaning. These properties were categorized by a coding-scheme making a classification into modality-specific and verbal contents possible. Words were additionally rated with regard to concreteness/abstractness and familiarity. To identify possible subgroups of abstract concepts with distinct profiles of generated features, hierarchical cluster analyses were conducted. Participants generated a substantial proportion of introspective, affective, social, sensory and motor-related properties, in addition to verbal associations. Cluster analyses revealed different subcategories of abstract concepts, which can be characterized by the dominance of certain conceptual features. The present results are therefore compatible with grounded cognition theories, which emphasize the importance of linguistic, social, introspective and affective experiential information for the representation of abstract concepts. Our findings also indicate that abstract concepts are highly heterogeneous requiring the investigation of well-specified subcategories of abstract concepts, for instance as revealed by the present cluster analyses. The present study could thus guide future behavioral or imaging work further elucidating the representation of abstract concepts.

Project description:Policy Points Narratives about patients' experiences with outpatient care are essential for quality improvement because they convey ample actionable information that both elaborates on existing domains within patient experience surveys and describes multiple additional domains that are important to patients. The content of narrative feedback from patients can potentially be translated to improved quality in multiple ways: clinicians can learn from their own patients, groups of clinicians can learn from the experience of their peers' patients, and health system administrators can identify and respond to patterns in patients' accounts that reflect systemic challenges to quality. Consistent investment by payers and providers is required to ensure that patient narratives are rigorously collected, analyzed fully, and effectively used for quality improvement. CONTEXT:For the past 25 years, health care providers and health system administrators have sought to improve care by surveying patients about their experiences. More recently, policymakers have acted to promote this learning by deploying financial incentives tied to survey scores. This article explores the potential of systematically elicited narratives about experiences with outpatient care to enrich quality improvement. METHODS:Narratives were collected from 348 patients recruited from a nationally representative Internet panel. Drawing from the literature on health services innovation, we developed a two-part coding schema that categorized narrative content in terms of (a) the aspects of care being described, and (b) the actionability of this information for clinicians, quality improvement staff, and health system administrators. Narratives were coded using this schema, with high levels of reliability among the coders. FINDINGS:The scope of outpatient narratives divides evenly among aspects of care currently measured by patient experience surveys (35% of content), aspects related to measured domains but not captured by existing survey questions (31%), and aspects of care that are omitted from surveys entirely (34%). Overall, the narrative data focused heavily on relational aspects of care (43%), elaborating on this aspect of experience well beyond what is captured with communication-related questions on existing surveys. Three-quarters of elicited narratives had some actionable content, and almost a third contained three or more separate actionable elements. CONCLUSIONS:In a health policy environment that incentivizes attention to patient experience, rigorously elicited narratives hold substantial promise for improving quality in general and patients' experiences with care in particular. They do so in two ways: by making concrete what went wrong or right in domains covered by existing surveys, and by expanding our view of what aspects of care matter to patients as articulated in their own words and thus how care can be made more patient-centered. Most narratives convey experiences that are potentially actionable by those committed to improving health care quality in outpatient settings.

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Abstract images and words can convey the same meaning.

Publications

Abstract images and words can convey the same meaning.

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