Article citationsMore>>

Butler, G. Y., & Jiang, S. (2025). How Do Pre-Service Language Teachers Perceive Generative AIs’ Affordance?: A Case of ChatGPT. System, 129, Article ID 103606.
https://doi.org/10.1016/j.system.2025.103606

has been cited by the following article:

• TITLE: An Exploration of the Application of Affordance Theory in the Interface Navigation Design of Smart Homes for the Elderly

  AUTHORS: Zirong Ye, Tian Li

  KEYWORDS: Affordance Theory, Elderly, Smart Home, Interface Navigation, Human-Computer Interaction

  JOURNAL NAME: Art and Design Review, Vol.13 No.2, May 20, 2025

  ABSTRACT: With the accelerating global aging population, the quality of life for elderly individuals is facing increasing challenges, especially in the use of smart home systems. Traditional smart home interfaces often neglect the unique cognitive and operational needs of the elderly, resulting in difficulties when using these technologies. Affordance theory, as an important framework in human-computer interaction, provides theoretical support for optimizing smart home interface design through the dimensions of perception, operation, and feedback. This paper explores the specific application of affordance theory in the design of smart home interface navigation for the elderly and proposes a series of targeted design strategies aimed at enhancing the usability and acceptance of smart home systems among elderly users.