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Symbiotic AI: Augmenting Human Cognition from PCs to Cars

Riccardo Bovo, Karan Ahuja, Ryo Suzuki, Mustafa Doga Dogan, Mar Gonzalez-Franco

TL;DR

The paper addresses how human-computer interaction (HCI) can preserve user agency while AI augments cognition across personal computers and automobiles. It advocates goal-oriented interactions enabled by XR multimodal interfaces, analyzing implications for autonomy, control, and cognitive augmentation. Key contributions include framing the shift from command-driven interfaces to iterative, agent-assisted workflows, and outlining questions on agent supervision, data flow, and shared autonomy. The work highlights practical paths for deploying AI copilots and multimodal dashboards that enhance everyday tasks while maintaining user understanding and control in an AI-infused world.

Abstract

As AI takes on increasingly complex roles in human-computer interaction, fundamental questions arise: how can HCI help maintain the user as the primary agent while augment human cognition and intelligence? This paper suggests questions to guide researchers in considering the implications for agency, autonomy, the augmentation of human intellect, and the future of human-AI synergies. We observe a key paradigm shift behind the transformation of HCI, shifting from explicit command-and-control models to systems where users define high-level goals directly. This shift will be facilitated by XR technologies, whose multi-modal inputs and outputs offer a more seamless way to convey these goals. This paper considers this transformation through the lens of two cultural milestones: the personal computer and the automobile, moving beyond traditional interfaces like keyboards or steering wheels and thinking of them as vessels for everyday XR.

Symbiotic AI: Augmenting Human Cognition from PCs to Cars

TL;DR

The paper addresses how human-computer interaction (HCI) can preserve user agency while AI augments cognition across personal computers and automobiles. It advocates goal-oriented interactions enabled by XR multimodal interfaces, analyzing implications for autonomy, control, and cognitive augmentation. Key contributions include framing the shift from command-driven interfaces to iterative, agent-assisted workflows, and outlining questions on agent supervision, data flow, and shared autonomy. The work highlights practical paths for deploying AI copilots and multimodal dashboards that enhance everyday tasks while maintaining user understanding and control in an AI-infused world.

Abstract

As AI takes on increasingly complex roles in human-computer interaction, fundamental questions arise: how can HCI help maintain the user as the primary agent while augment human cognition and intelligence? This paper suggests questions to guide researchers in considering the implications for agency, autonomy, the augmentation of human intellect, and the future of human-AI synergies. We observe a key paradigm shift behind the transformation of HCI, shifting from explicit command-and-control models to systems where users define high-level goals directly. This shift will be facilitated by XR technologies, whose multi-modal inputs and outputs offer a more seamless way to convey these goals. This paper considers this transformation through the lens of two cultural milestones: the personal computer and the automobile, moving beyond traditional interfaces like keyboards or steering wheels and thinking of them as vessels for everyday XR.

Paper Structure

This paper contains 5 sections.