An Empirical Characterization of Touch-Gesture Input-Force on Mobile Devices

Taher, Faisal; Alexander, Jason; Hardy, John G.; Velloso, Eduardo

doi:10.1145/2669485.2669515

Cited by 12 publications

(6 citation statements)

References 28 publications

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“…In our work, we showed how this technique can be used with different eye trackers, a depth camera, and a conventional RGB webcam. An interesting direction for future work is to explore how the technique performs with other devices and modalities, such as finger [53], head [42], and feet movements [60], as well as other types of actions beyond movement, such as audio [10] and pressure [57].…”

Section: Challenges and Limitationsmentioning

confidence: 99%

Motion Correlation

Velloso

Carter

Newn

et al. 2017

ACM Trans. Comput.-Hum. Interact.

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Selection is a canonical task in user interfaces, commonly supported by presenting objects for acquisition by pointing. In this article, we consider motion correlation as an alternative for selection. The principle is to represent available objects by motion in the interface, have users identify a target by mimicking its specific motion, and use the correlation between the system’s output with the user’s input to determine the selection. The resulting interaction has compelling properties, as users are guided by motion feedback, and only need to copy a presented motion. Motion correlation has been explored in earlier work but only recently begun to feature in holistic interface designs. We provide a first comprehensive review of the principle, and present an analysis of five previously published works, in which motion correlation underpinned the design of novel gaze and gesture interfaces for diverse application contexts. We derive guidelines for motion correlation algorithms, motion feedback, choice of modalities, overall design of motion correlation interfaces, and identify opportunities and challenges identified for future research and design.

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Section: Challenges and Limitationsmentioning

confidence: 99%

Motion Correlation

Velloso

Carter

Newn

et al. 2017

ACM Trans. Comput.-Hum. Interact.

Self Cite

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“…For the devices tested this sensitivity was well above that required to sense 1 N of force. The forces used in typical touch interactions are ≈0.5 N, but with substantial variability between tasks [24]. Force-based interactions are therefore likely to operate in the 1-5 N range we characterised.…”

Section: Discussionmentioning

confidence: 97%

“…Touch-based interactions consist of both a spatial location and a contact force. Even when force is not a parameter of the interaction, users will inevitably perform a force profile with their contact [24]. However, although force is an integral component of many stylus gestures [e.g.…”

Section: Introductionmentioning

confidence: 99%

Estimating Touch Force with Barometric Pressure Sensors

Quinn

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Finger pressure offers a new dimension for touch interaction, where input is defined by its spatial position and orthogonal force. However, the limited availability and complexity of integrated force-sensing hardware in mobile devices is a barrier to exploring this design space. This paper presents a synthesis of two features in recent mobile devices-a barometric sensor (pressure altimeter) and ingress protectionto sense a user's touch force. When a user applies force to a device's display, it flexes inward and causes an increase in atmospheric pressure within the sealed chassis. This increase in pressure can be sensed by the device's internal barometer. However, this change is uncontrolled and requires a calibration model to map atmospheric pressure to touch force. This paper derives such a model and demonstrates its viability on four commercially-available devices (including two with dedicated force sensors). The results show this method is sensitive to forces of less than 1 N, and is comparable to dedicated force sensors. CCS CONCEPTS • Human-centered computing → Ubiquitous and mobile computing systems and tools; Touch screens; • Hardware → Sensors and actuators.

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“…[72]. Since this, other work has explored force gestures on displays [32,63,117]. Heo and Lee suggest that the use of force control can be more of a more natural means of control over traditional touch-screen gestures [32].…”

Section: Force-based Interactionsmentioning

confidence: 99%

“…There has also been an extensive study into the characterisation of touchscreen gesture input-force [117]. In this study, the users wore a glove with the force sensor in the fingertip.…”

Section: Force-based Interactionsmentioning

confidence: 99%

Art and Design Practices as a Driver for Deformable Controls, Textures and Screen Interactions

Steer¹

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In this thesis, we demonstrate the innovative uses of deformable interfaces to help de-velop future digital art and design interactions. The great beneﬁts of advancing digital art can often come at a cost of tactile feeling and physical expression, while traditional methods celebrate the diverse sets of physical tools and materials. We identiﬁed these sets of tools and materials to inform the development of new art and design interfaces that offer rich physical mediums for digital artist and designers. In order to bring forth these unique inter-actions, we draw on the latest advances in deformable interface technology. Therefore, our research contributes a set of understandings about how deformable interfaces can be har-nessed for art and design interfaces. We identify and discuss the following contributions: insights into tangible and digital practices of artists and designers; prototypes to probe the beneﬁts and possibilities of deformable displays and materials in support of digital-physical art and design, user-centred evaluations of these prototypes to inform future developments, and broader insights into the deformable interface research.Each chapter of this thesis investigates a speciﬁc element of art and design, alongside an aspect of deformable interfaces resulting in a new prototype. We begin the thesis by studying the use of physical actuation to simulate artist tools in deformable surfaces. In this chapter, our evaluations highlight the merits of improved user experiences and insights into eyes-free interactions. We then turn to explore deformable textures. Driven by the tactile feeling of mixing paints, we present a gel-based interface that is capable of simulating the feeling of paints on the back of mobile devices. Our evaluations showed how artists endorsed the interactions and held potential for digital oil painting.Our ﬁnal chapter presents research conducted with digital designers. We explore their colour picking processes and developed a digital version of physical swatches using a mod-ular screen system. This use of tangible proxies in digital-based processes brought a level of playfulness and held potential to support collaborative workﬂows across disciplines. To conclude, we share how our outcomes from these studies could help shape the broader space of art and design interactions and deformable interface research. We suggest future work and directions based on our ﬁndings.

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An Empirical Characterization of Touch-Gesture Input-Force on Mobile Devices

Cited by 12 publications

References 28 publications

Motion Correlation

Motion Correlation

Estimating Touch Force with Barometric Pressure Sensors

Art and Design Practices as a Driver for Deformable Controls, Textures and Screen Interactions

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