Interaction Methods for Smart Glasses
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Abstract (arXiv)
Since the launch of Google Glass in 2014, smart glasses have mainly been designed to support micro-interactions. The ultimate goal for them to become an augmented reality interface has not yet been attained due to an encumbrance of controls. Augmented reality involves superimposing interactive computer graphics images onto physical objects in the real world. This survey reviews current research issues in the area of human computer interaction for smart glasses. The survey first studies the smart glasses available in the market and afterwards investigates the interaction methods proposed in the wide body of literature. The interaction methods can be classified into hand-held, touch, and touchless input. This paper mainly focuses on the touch and touchless input. Touch input can be further divided into on-device and on-body, while touchless input can be classified into hands-free and freehand. Next, we summarize the existing research efforts and trends, in which touch and touchless input are evaluated by a total of eight interaction goals. Finally, we discuss several key design challenges and the possibility of multi-modal input for smart glasses.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jul 2017.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 5.
9 papers.
- 2026FluxMem: Adaptive Hierarchical Memory for Streaming Video Understandingcited by 28
- 2023Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLOcited by 15
- 2021Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligencecited by 10
- 2025XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glassescited by 9
- 2022AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trendscited by 8
- 2026Semantic-Aware Adaptive Visual Memory for Streaming Video Understandingcited by 8
- 2026Don't Pause: Streaming Video-Language Synchrony for Online Video Understandingcited by 1
- 2026Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understandingcited by 1
- 2026AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalizationcited by 0
- 2026AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization17 Sep 2026
- 2026Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding3 Sep 2026
- 2026Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding5 Jun 2026
- 2026Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding8 May 2026
- 2026FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding2 Mar 2026
- 2025XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses31 Jan 2025
- 2023Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO2 Nov 2023
- 2022AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends23 Aug 2022
- 2021Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence16 Jun 2021