China
Africa
Explore chapters and articles related to this topic
Assessing Needs with Older Adults
Published in Walter R. Boot, Neil Charness, Sara J. Czaja, Wendy A. Rogers, Designing for Older Adults, 2020
Walter R. Boot, Neil Charness, Sara J. Czaja, Wendy A. Rogers
Robots are embodied agents that take up space in an environment and have a particular form factor. To better understand older adults’ needs and preferences for a robot in their home, we provided older adults with the opportunity to interact with a personal robot in a simulated home environment, the Aware Home at Georgia Tech. Older adult participants observed a mobile manipulator robot autonomously demonstrating three tasks: delivering medication, learning to turn off a light switch, and organizing home objects. We administered pre- and post-exposure questionnaires about participants’ opinions and attitudes toward the robot, as well as a semi-structured interview about each demonstration. The demonstration of the robot did, in fact, influence older adults’ acceptance. There was a significant increase, pre vs. post, in positive perceptions of robot usefulness and the ease of use, and the older adults showed greater openness to robot assistance after exposure.
Towards User-Centric Guidelines for Chatbot Conversational Design
Published in International Journal of Human–Computer Interaction, 2022
Geovana Ramos Sousa Silva, Edna Dias Canedo
It is crucial to set apart embodied agents from text-based agents with avatars, as verified by EC2. Embodied agents communicate intentions or messages via body expressions, while text-based agents only communicate via text, although they can be represented by an image, either human, robotic, or zoomorphic. Simpler and directly, we accepted agents with an icon or figure as long as it is static. Moreover, we are not interested in chatbots that are only “bots”, which we consider as agents that communicate but are incapable of engaging in a whole conversation with a human.
LIA: A Virtual Assistant that Can Be Taught New Commands by Speech
Published in International Journal of Human–Computer Interaction, 2019
Some virtual assistants include embodied agents (Cassell, 2000, Watanabe, Okubo, Nakashige, & Danbara, 2004). However, embodied virtual agents require heavy resources both communication and computation wise. Herrmann (Herrmann, 1996) compares different machine learning based methods for virtual assistants.