Beauty tech nails

Vega, Katia; Fukś, Hugo

doi:10.1145/2540930.2540961

Cited by 40 publications

(4 citation statements)

References 16 publications

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“…As an example, finger identification could enable the Pages app to overload a one touch drag with different actions: index finger to move the text insertion point by a character, middle finger for selecting one character, ring finger for flipping pages, and thumb for triggering common commands like undo. Researchers are already exploring approaches to finger identification sensing such as modelling geometric relationships of touch points [2,13,36,53,24,50], overhead camera tracking [30,52], special gloves [31], recognizing fingerprints [48,22]; forearm electromyography [7], and artificial fingernails with RFID tags [49]. In anticipation of a robust, generalized technical solution to finger identification, researchers are already proposing interaction techniques utilizing finger identification (e.g.…”

Section: Introductionmentioning

confidence: 99%

The Performance and Preference of Different Fingers and Chords for Pointing, Dragging, and Object Transformation

Goguey

Nancel

Casiez

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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International audienceThe development of robust methods to identify which finger is causing each touch point, called “finger identification,” will open up a new input space where interaction designers can associate system actions to different fingers. However, relatively little is known about the performance of specific fingers as single touch points or when used together in a “chord.” We present empirical results for accuracy, throughput, and subjective preference gathered in five experiments with 48 participants exploring all 10 fingers and 7 two-finger chords. Based on these results, we develop design guidelines for reasonable target sizes for specific fingers and two-finger chords, and a relative ranking of the suitability of fingers and two-finger chords for common multi-touch tasks. Our work contributes new knowledge regarding specific finger and chord performance and can inform the design of future interaction techniques and interfaces utilizing finger identification

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Section: Introductionmentioning

confidence: 99%

The Performance and Preference of Different Fingers and Chords for Pointing, Dragging, and Object Transformation

Goguey

Nancel

Casiez

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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“…In addition to garments, e.g. painted fake fingernails integrating RFID tags have been introduced [28], and different design styles for glasses type wearable computing has been explored [10]. Fortmann et al [9] have presented a design process, prototype and evaluation of an information bracelet, where the form factor and aesthetics have been taken into account in the form factor design.…”

Section: Wearables Aesthetics and Smart Fashionmentioning

confidence: 99%

Exploring smart handbag concepts through co-design

Pakanen

Lappalainen

Roinesalo

et al. 2016

Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia

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As technology matures and its possibilities get more and more varied, there is also more room for thinking the user experience (UX) design, industrial design, and aesthetics of the computing form factors. The holistic user experience consists of a utilitarian and hedonic side [13]. While technology can respond to the call for pragmatic solutions for fulfilling different utilitarian user needs, UX design needs to focus also on hedonic aspects such as visual appearance, comfort of materials, or social function and engagement with the product. According to the principles of user centric design (UCD), it is important to gather background knowledge from the users when designing new technologies or novel applications in order to create end-products, which as both usable, acceptable, and desirable.In this paper, we report our work on a user centric approach on smart handbag design. We consider handbag as a potential novel form factor for mobile computing devices due its commonness in everyday life, its shape and size that allow easy technology integration, and its general wearability. Handbags are commonplace objects, which roughly half of the adult population, i.e. females, carry. Until now, handbags have been completely free from any interactive technology. In the following, we look at the possibilities for smart handbag design through a co-design approach. We introduce the findings of two studies, where feedback on the topic was gathered through different UCD and co-design methods, see Figure 1. ABSTRACTIn this paper, we explore design preferences and possibilities for smart handbags from the user perspective. We present designs and findings derived through a co-design process, which consisted of two studies; first with individual drawing based brainstorming (n=20), and second with two co-design workshops (n=10), where participants assessed different designs and features, and created low-fi prototypes of smart handbag concepts. Participants proposed large shape and style variations for smart handbags, according to the intended contexts, use cases, and lifestyle. In this respect the desire for modifiability, e.g. adapting in size and shape, was highlighted. The handbag's durability, weatherproofness and use of high quality materials were also raised.

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“…Benko et al used electro-myogram sensors placed on the forearm and achieve a 90% success rate for single finger identification among 5 fingers with a 300 ms latency [2]. Other works attached Gametrak strings to each finger to track their 3D positions [10] or used RFID tags attached to each finger with fake fingernails or gloves on custom touchscreens integrating RFID antennas [19,28].…”

mentioning

confidence: 99%

“…When interaction techniques are introduced with a system to identify fingers, most of them bind a command to a single finger [2,4,14,22,27,28,30,33]. Other applications explore the use of common two-finger gestures (e.g.…”

mentioning

confidence: 99%

WhichFingers

Masson

Goguey

Malacria

et al. 2017

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology

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HCI researchers lack low-latency and robust systems to support the design and development of interaction techniques using finger identification. We developed a low-cost prototype using piezo-based vibration sensors attached to each finger. By combining the events from an input device with the information from the vibration sensors we demonstrate how to achieve low-latency and robust finger identification. Our prototype was evaluated in a controlled experiment, using two keyboards and a touchpad, showing single-touch recognition rates of 98.2% for the keyboard and 99.7% for the touchpad, and 94.7% for two simultaneous touches. These results were confirmed in an additional laboratory-style experiment with ecologically valid tasks. Last we present new interaction techniques made possible using this technology.

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Beauty tech nails

Cited by 40 publications

References 16 publications

The Performance and Preference of Different Fingers and Chords for Pointing, Dragging, and Object Transformation

The Performance and Preference of Different Fingers and Chords for Pointing, Dragging, and Object Transformation

Exploring smart handbag concepts through co-design

WhichFingers

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