The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Satisfying communication and relationship labels: Intimacy and length of relationship as perceptual frames of naturalistic conversations
Abstract
This study examines the role of relationship labels as perceptual frames of satisfying communication. Differentiating normative and outcome‐based approaches, it was hypothesized that different relationship labels would be associated with different types of satisfying communication. Naturalistic conversations were interrupted in two geographically distinct samples and interactants assessed relationship intimacy and length, and satisfying communication. Cross‐validated regressions indicated significant associations with satisfaction across samples for intimacy and within each sample for length.
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“This is supported by converging evidence in human conversations where we feel less of a need to engage in politeness talk when we feel very close to others (Hecht, 1984).”
From Humanoid Agents: Platform for Simulating Human-like Generative Agents (2023) · cites this paper as Hecht, 1984
Citations
Cites
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Cited by
Evaluating Individual Group Member Satisfaction as a Situational Variable
Keyton, J. (1991) · Small Group Research · doi:10.1177/1046496491222004 · Cited by 55
Humanoid Agents: Platform for Simulating Human-like Generative Agents
Wang, Z., Chiu, Y. Y., & Chiu, Y. C. (2023) · arXiv · doi:10.48550/arxiv.2310.05418 · Cited by 21
Humanoid Agents: Platform for Simulating Human-like Generative Agents
Wang, Z., Chiu, Y. Y., & Chiu, Y. C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · doi:10.18653/v1/2023.emnlp-demo.15 · Cited by 21
Metadata
- Authors
- Hecht, M. L.
- Affiliations
- Arizona State University (US)
- Corresponding author
- Hecht, Michael L.
- ORCID
- Hecht, Michael L.
- Venue
- Western Journal of Speech Communication
- Publisher
- Informa UK Limited
- Published
- 1984-12
- Volume
- 48
- Issue
- 3
- Pages
- 201-216
- ISSN
- 0193-6700 (ISSN-L)
- OpenAlex
- W2043194741
- Cited by
- 56
- References
- 1
- Citations by year
- 2026: 1 · 2023: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2016: 2 · 2015: 2 · 2014: 5 · 2013: 2 · 2012: 1
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Western Journal of Speech Communication (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Social Sciences › Communication › Interpersonal and Organizational Communication
- Keywords
- relationship intimacy, relationship duration, naturalistic conversation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Satisfying communication and relationship labels: Intimacy and length of relationship as perceptual frames of naturalistic conversations. https://app.cochat.ai/papers/10.1080/10570318409374157
- The paper
- Hecht, M. L. (1984). Satisfying communication and relationship labels: Intimacy and length of relationship as perceptual frames of naturalistic conversations. Western Journal of Speech Communication. https://doi.org/10.1080/10570318409374157
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
