A Critique of the Shannon-Weaver Theory of Communication and Its Implications for Nursing

Toward Smart Communication Components: Recent Advances in Human and AI Speaker Interaction

This study aims to investigate how humans and artificial intelligence (AI) speakers interact and to examine the interactions based on three types of communication failures: system, semantic, and effectiveness. We divided service failures using AI speaker user data provided by the top telecommunication service providers in South Korea and investigated the means to increase the continuity of product use for each type. We proved the occurrence of failure due to system error (H1) and negative results on sustainable use of the AI speaker due to not understanding the meaning (H2). It was observed that the number of users increases as the effectiveness failure rate increases. For single-person households constituted by persons in their 30s and 70s or older, the continued use of AI speakers was significant. We found that it alleviated loneliness and that human-machine interaction using AI speaker could reach a high level through a high degree of meaning transfer. We also expect AI speakers to play a positive role in single-person households, especially in cases of the elderly, which has become a tough challenge in the recent times.

End-of-Life Care Terminology: A Scoping Review

The purpose of this scoping review is to present an overview of terms found in publications associated with end-of-life care management that can impact decision making by patients, health care providers, and researchers. Connotative terminology and syntax can influence the decision-making approach and process. We examined 49 publications for positive, negative, and neutral connotations. We consistently found negative terminology in the publications. To advance the development of nursing knowledge regarding end-of-life care, researchers should be aware of their biases of terminology and syntax use. We propose modifications to language used in end-of-life care planning models and literature can improve care congruency.