Privacy, Trust, and Technological Hurdles in Human-Agent Interaction: A Case Study of Apple's Knowledge Navigator

چکیده

In 1987, Apple introduced the Knowledge Navigator, a visionary concept of a digital personal assistant capable of sophisticated human-agent interactions. This paper examines why the conversational capabilities depicted in Apple's Knowledge Navigator video have yet to be realized, analyzing the barriers through the lenses of privacy, trust, and technological challenges. Utilizing three theoretical frameworks—Distributed Cognition for Teamwork (DiCoT), Human-Agent Team (HAT) Game Analysis, and Flows of Power (FoP)—we systematically deconstruct the interactions between the user and the agent, "Phil," to identify the technological and social impediments to creating such an advanced agent. Key findings highlight the significant privacy concerns associated with extensive user data collection, the complexities of establishing and maintaining user trust, and the technological limitations in natural language processing and contextual understanding. This analysis offers a roadmap for designers and researchers to address these hurdles, paving the way for the development of more capable and trusted conversational agents. By understanding the intricate dynamics between humans and agents, we can better navigate the future of human-computer interaction.