AI for Sustainable Health in Smart Cities: An Empirical Study

Document Type

Conference Proceeding

Source of Publication

Lecture Notes in Computer Science

Publication Date

8-2-2026

Abstract

Artificial intelligence (AI) is increasingly deployed in urban health ecosystems to promote active lifestyles and improve wellbeing. However, the environmental cost of resource-intensive models and ethical concerns around personalization highlight the need for Green and Responsible AI frameworks. This paper presents Lively-Vida (Li-Vida), a mobile system that delivers personalized exercise recommendations through lightweight Human Activity Recognition (HAR) and on-device collaborative filtering. By minimizing reliance on cloud infrastructure, Li-Vida achieves energy efficiency, reduced environmental footprint, and privacy preservation. Behavioral nudging strategies (transparent reminders and achievement badges) are embedded and evaluated using the Theory of Reasoned Action (TRA). A 30-day empirical study with 17 university students demonstrates statistically significant improvements in attitudes (ATT), subjective norms (SN), and behavioral intentions (BI) toward physical activity (all p <.001; very large effect sizes). Qualitative analysis of open responses shows that transparent nudges reinforced motivation, progress visibility, and social accountability. Findings demonstrate that Green and Responsible AI can produce measurable health behavior change in a smart-city context, offering a scalable path to sustainable urban wellbeing.

ISBN

[9783032199805]

ISSN

0302-9743

Publisher

Springer Nature Switzerland

Volume

16462 LNCS

First Page

173

Last Page

184

Disciplines

Computer Sciences

Keywords

Behavioral Nudging, Collaborative Filtering, Green AI, Human Activity Recognition, Responsible Machine Learning, Smart Cities, Sustainable Health, TRA, User Study

Scopus ID

105046294814

Indexed in Scopus

yes

Open Access

no

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