Smarter objects

Heun, Valentin; Kasahara, Shunichi; Maes, Pattie

doi:10.1145/2468356.2468528

Cited by 48 publications

(2 citation statements)

References 7 publications

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“…Early tablet-based AR control systems for appliances in homes with preset interfaces and tags have been studied, but not widely adopted [14]. Some work has been done to create AR systems with more subtle or visually appealing markers [8,19]. Recent work in visible light communication (VLC) enable data dissemination through modulation of LEDs, which can be captured on a smartphone camera, while remaining mostly imperceptible to the human eye [10,20].…”

Section: Related Workmentioning

confidence: 99%

Browsing the Web of Things in Mobile Augmented Reality

Zachariah

Dutta

2019

Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications

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With the current augmented reality and low-power radio technology present on mobile platforms, we can imagine a standard and physically tangible browsing mechanism for objects in the Web of Things. We explore a model for user interaction with IoT devices that makes use of mobile augmented reality to allow users to identify new devices or easily access regularly-used devices in their environment, enables immediate interaction with quicklyobtainable user interfaces from the web, and provides developers a convenient platform to display custom interfaces for their devices. This model represents a step towards software-based interaction that might, one day, feel as intuitive, accessible, and familiar as the physical interfaces we commonly encounter in our daily lives. CCS CONCEPTS• Human-centered computing → Web-based interaction; User interface design; Mixed / augmented reality; Ubiquitous and mobile computing systems and tools;• Information systems → Service discovery and interfaces; Web interfaces; Users and interactive retrieval; • Networks → Mobile ad hoc networks.

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Section: Related Workmentioning

confidence: 99%

Browsing the Web of Things in Mobile Augmented Reality

Zachariah

Dutta

2019

Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications

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“…Funk et al [13] present an augmented workspace in which everyday objects can be combined into personalized control widgets. The idea of using objects as tangible interfaces is also used in mobile settings by employing tablets [1,15,16] or head-mounted AR displays [2]. In contrast to visual sensing, project Zanzibar [35] contributes a portable rubber mat with embedded NFC readers that recognize various objects placed on top.…”

Section: Using Everyday Objects As Interfacesmentioning

confidence: 99%

Tailored Controls

Becker

Kalbermatter

Mayer

et al. 2019

Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces

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a) (b) (c) Figure 1. We present a concept and a prototype of a system for creating personalized user interfaces from paper. Users can cut out preferred shapes from paper and add interaction functionalities to them. The paper shapes and the user's fingers are tracked by an RGBD camera mounted above the interaction surface ( Figure 1a). Our processing pipeline recognizes and measures manipulations of the shapes (Figure 1b), such as movements and touches, which can be mapped to certain functions according to the assigned interactions, e.g. for controlling a toy rover as illustrated in Figure 1c. ABSTRACTUser interfaces rarely adapt to the specific user preferences or the task at hand. We present a method that allows to quickly and inexpensively create personalized interfaces from plain paper. Users can cut out shapes and assign control functions to these paper snippets via a simple configuration interface. After configuration, control takes place entirely through the manipulation of the paper shapes, providing the experience of a tailored tangible user interface. The shapes and assignments can be dynamically changed during use. Our system is based on markerless tracking of the user's fingers and the paper shapes on a surface using an RGBD camera mounted above the interaction space, which is the only hardware sensor required. Our approach and system are backed up by two studies where we determined what shapes and interaction abstractions users prefer, and verified that users can indeed employ our system to build real applications with paper snippet interfaces.

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