Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
6-2025
Abstract
As the global population ages rapidly, the field of human-computer interaction (HCI) is in urgent need of innovation, redesign, and reengineering to meet the evolving needs of older adults. The older demographic faces a range of challenges—including physical limitations, cognitive decline, reduced social in-tegration, and varying levels of technological literacy—that can hinder effective engagement with digital technologies. In response to these challenges, research-ers and designers are using inclusive and adaptive approaches to enhance acces-sibility, usability, and emotional well-being. This paper reviews key design prin-ciples in HCI for the ageing population and discusses how artificial intelligence (AI) tools, such as voice assistants, social robots, and cognitive training plat-forms, can enhance autonomy, support daily living, and foster social connectivity among older adults. Drawing on recent empirical studies and case examples, we highlight both the opportunities and limitations of current AI-driven interven-tions. This research identifies critical research gaps related to long-term engage-ment, ethical concerns, and personalization. This paper also proposes future re-search directions that emphasize user-centered design, cross-generational collab-oration, and responsible innovation. By reimagining HCI with the ageing popu-lation in mind, this paper contributes to the development of technologies that promote dignity, independence, and quality of life for older adults.
Keywords
Human-Computer Interaction, Ageing Population, Artificial Intelligence, Assistive Technologies, Inclusive Design, Digital Health
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
Proceedings of the 27th International Conference on Human-Computer Interaction, HCII 2025, Gothenburg, Sweden, June 22-27
First Page
149
Last Page
164
ISBN
9783032131669
Identifier
10.1007/978-3-032-13167-6_11
Publisher
Springer
City or Country
Cham
Citation
SIAU, Keng; WANG, Hailiang; NAH, Fiona Fui-hoon; WANG, Runyu; CHE, Ruitong; and LIU, Can.
Human-computer interaction and artificial intelligence for ageing population. (2025). Proceedings of the 27th International Conference on Human-Computer Interaction, HCII 2025, Gothenburg, Sweden, June 22-27. 149-164.
Available at: https://ink.library.smu.edu.sg/sis_research/10903
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-032-13167-6_11