Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pereira, L. & Crespo de Carvalho, J. (2026). From Noise to Sense-Making: Problem Solving and the Transformation of Human Communication in Digital Contexts. In Impacts of AI on Human Expression and Relationship Building. (pp. 275-330).: IGI Global Scientific Publishing.
Exportar Referência (IEEE) 
L. L. Pereira and J. L. Carvalho,  "From Noise to Sense-Making: Problem Solving and the Transformation of Human Communication in Digital Contexts", in Impacts of AI on Human Expression and Relationship Building, IGI Global Scientific Publishing, 2026, pp. 275-330
Exportar BibTeX 
@incollection{pereira2026_1777273353051,
	author = "Pereira, L. and Crespo de Carvalho, J.",
	title = "From Noise to Sense-Making: Problem Solving and the Transformation of Human Communication in Digital Contexts",
	chapter = "",
	booktitle = "Impacts of AI on Human Expression and Relationship Building",
	year = "2026",
	volume = "",
	series = "",
	edition = "",
	pages = "275-275",
	publisher = "IGI Global Scientific Publishing",
	address = "",
	url = "https://www.igi-global.com/gateway/chapter/408558"
}
Exportar RIS 
TY  - CHAP
TI  - From Noise to Sense-Making: Problem Solving and the Transformation of Human Communication in Digital Contexts
T2  - Impacts of AI on Human Expression and Relationship Building
AU  - Pereira, L.
AU  - Crespo de Carvalho, J.
PY  - 2026
SP  - 275-330
SN  - 2327-0411
DO  - 10.4018/979-8-3373-8337-8.ch011
UR  - https://www.igi-global.com/gateway/chapter/408558
AB  - This chapter reframes organizational communication as communicational problem solving rather than simple information transfer, showing how digital speed can amplify noise and spread complexity. It synthesizes research on coordination and verification to explain how constraints, channel properties, and interaction structures influence collective performance and misunderstanding in mediated settings. To support practice, the chapter proposes a Human-Centered Communicational Problem Solving (HCCPS) framework for hybrid and AI-mediated work. HCCPS structures a repeatable cycle—Diagnose, Match, Co-construct, Verify, Govern, and Learn—linking channel choice to diagnosis, making verification explicit, and treating human–AI collaboration as bounded delegation with accountability. The chapter concludes that lightweight artifacts and governance routines can stabilize meaning, improve effectiveness, and strengthen ethical defensibility and legitimacy under real-world trade-offs.
ER  -