Lamp Designs and Attention Fields: Ambient Computing for Agentic AI
Abstract
As artificial intelligence becomes integrated into an increasing number of everyday objects, our relationships with these objects will inevitably evolve. The built environment—including architecture, furniture, and even the lighting that shapes much of our lived experience—offers new opportunities to reconsider how we interact with everyday objects. As with other emerging AI-enabled technologies, these objects may shape our attention in fundamental ways. This design research project asks: How might objects that hide in plain sight initiate meaningful interactions with users and appropriately calibrate users’ attention while still fulfilling their conventional role as furniture? To explore this question, we developed a series of lamp prototypes that use light and movement to initiate attention within a given space. We speculate about the development and proliferation of “Attention Fields,” in which objects situate themselves as constellations of AI-embodied artifacts that respond to the presence of users within a space.
Keywords: Embodied Interaction, Attention, Interactive Environments, Ambient Interfaces, Computer Vision, Human Systems Integration, Ambient Computing
DOI: 10.54941/ahfe1008093
Cite this paper
More from this volume
- Explainability in Automated Driving: From Spatial Attention to Human-Centred Reasoning
- Design and Evaluation of an AI Academic Advisor: Insights from Student Interactions
- To boldly go where AI must not go alone: Designing for non-delegable human authority in AI-assisted expert work
- Integrating Three Modalities into One Experience: A Case Study of 2024 DigiWave—DdDd
- Improving Usability in a Smart Building Ecosystem through Heuristic Evaluation and Usability Testing
- Anchored in the Learner: A Critical Review of AI Discourse in Design Education
- Narrative as a Cognitive Scaffold for Human-Centered Design Education:A Case Study of Schema Change in Interaction Design Students
- Assessment-Before-Intervention: A WHO iSupport-Grounded Conversational AI System for Dementia Family Caregiver Support
- Analyzing Stress and Perceived Safety in Human-Cobot Collaboration: The Impact of Task Proximity, Interface Cues, and System Errors
- Metascience of content-based cognitive ergonomics
- Developing an Assistive Mobile Application for Elderly Nepali Migrants in the UK
- Integrated Home Service Robots for Ageing in Place: A Multi-Stakeholder Perspective on Acceptance and Care Needs in Taiwan


AHFE Open Access