Year: 2024
Type: conference-paper
Abstract: Elderly individuals represent a significant portion of the population, and trends indicate that this number will increase at an accelerating rate. The elderly often face challenges when interacting with conversational systems, whether due to a lack of familiarity or age-related limitations, such as reduced visual acuity and dexterity. Therefore, it is essential to consider the needs of the elderly when designing these systems. In this work, we present the Assistente de Recomendação e Interação Acessível (ARIA), an accessible chatbot for the elderly that provides recommendations for cultural content, and Interactive Access, a set of guidelines for building accessible chatbots for the elderly. Performance and usability tests were conducted on both artifacts, based on Nielsen’s heuristics. The artifacts showed positive results, pointing the next steps for studies with elderly users.
Authors: Carlos Nery Ribeiro, Cynthya Letícia Teles de Oliveira, Lucas Padilha Modesto de Araujo, Kamila Rios da Hora Rodrigues, Marcelo Garcia Manzato
Institution: Universidade de São Paulo
Language: English
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: gold
OpenAlex ID: W4403388664