As advancements in generative AI and multimodal communication emerge, voice agents are poised to transition from functional tools to emotionally engaging companions. This thesis explores the future of interactions between Generation Z and AI voice agents, envisioning how these technologies could transform daily life by 2035. Through foresight and speculative design methodologies including STEEPV analysis, participatory futures, and design fiction prototypes, this research examines signals, trends, images, and drivers shaping the future of AI-human interaction.
The study focuses on the societal, ethical, and emotional implications of hyper-personalized and intelligent voice agents, exploring questions around inclusivity, safety, and design principles. By integrating trend research and user insights, creating, and prototyping three future scenarios set in 2035, this work offers actionable frameworks for creating AI agents that better align with values and expectations of users and communities. Ultimately, the thesis aims to inspire critical reflection on AI's role in society while guiding the design of voice agents that enrich the human experience responsibly and inclusively.
As advancements in generative AI and multimodal communication emerge, voice agents are poised to transition from functional tools to emotionally engaging companions. This thesis explores the future of interactions between Generation Z and AI voice agents, envisioning how these technologies could transform daily life by 2035. Through foresight and speculative design methodologies including STEEPV analysis, participatory futures, and design fiction prototypes, this research examines signals, trends, images, and drivers shaping the future of AI-human interaction.
The study focuses on the societal, ethical, and emotional implications of hyper-personalized and intelligent voice agents, exploring questions around inclusivity, safety, and design principles. By integrating trend research and user insights, creating, and prototyping three future scenarios set in 2035, this work offers actionable frameworks for creating AI agents that better align with values and expectations of users and communities. Ultimately, the thesis aims to inspire critical reflection on AI's role in society while guiding the design of voice agents that enrich the human experience responsibly and inclusively.