Smartphone haptic feedback for nonvisual wayfinding

Azenkot, Shiri; Ladner, Richard E.; Wobbrock, Jacob O.

doi:10.1145/2049536.2049607

Cited by 50 publications

(36 citation statements)

References 7 publications

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“…Several eyes-free systems have been proposed for blind people to address the difficulty of text entry with VoiceOver [2,5,6,7,19,20]. For example, Bonner et al [6] designed No-Look Notes, an eyes-free keyboard with larger targets, where two button presses are required to enter one character.…”

Section: Related Workmentioning

confidence: 99%

“…They found that entry rates with No-Look Notes were still low, at 1.32 words per minute (WPM). Azenkot et al [2], Frey et al [7], and Oliveira [20,21], proposed eyesfree techniques for blind people based on Braille. Azenkot et al's Perkinput and Frey et al's BrailleTouch use multifinger touches similar to those we use in DigiTaps.…”

Section: Related Workmentioning

confidence: 99%

“…Azenkot et al's Perkinput and Frey et al's BrailleTouch use multifinger touches similar to those we use in DigiTaps. However, DigiTaps gestures can be performed anywhere on the screen with no need for calibration [2]. Also unlike DigiTaps, Braille-based approaches require knowledge of Braille dot patterns.…”

Section: Related Workmentioning

confidence: 99%

“…Then, to press the button, the user performs a second gesture such as a double-tap. In addition to VoiceOver, researchers have proposed many other eyesfree interaction techniques [2,6,7,13,19,20], which also heavily rely on audio feedback.…”

Section: Introductionmentioning

confidence: 99%

“…In prior work, we developed minimal-audio methods for conveying directions for a wayfinding application that used only a touchscreen and vibration [2]. In the current paper, we explore eyes-free number input with minimal audio feedback.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

DigiTaps

Azenkot

Bennett

Ladner

2013

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

Self Cite

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Eyes-free input usually relies on audio feedback that can be difficult to hear in noisy environments. We present DigiTaps, an eyes-free number entry method for touchscreen devices that requires little auditory attention.To enter a digit, users tap or swipe anywhere on the screen with one, two, or three fingers. The 10 digits are encoded by combinations of these gestures that relate to the digits' semantics. For example, the digit 2 is input with a 2-finger tap. We conducted a longitudinal evaluation with 16 people and found that DigiTaps with no audio feedback was faster but less accurate than with audio feedback after every input. Throughout the study, participants entered numbers with no audio feedback at an average rate of 0.87 characters per second, with an uncorrected error rate of 5.63%.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

DigiTaps

Azenkot

Bennett

Ladner

2013

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

Self Cite

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Output Feedback Control of a Dual‐Excenter Vibration Actuator via qLPV Model and TP Model Transformation

Kuti¹,

Galambos²,

Miklós³

2014

Asian Journal of Control

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Vibration actuators are widely used in handheld devices to provide vibrotactile feedback or silent notification to the users. In most cases, miniature DC motors with eccentric rotors or the so-called coin-type shaftless vibration motors are utilized. The common disadvantage of the single rotor designs is that the frequency and the intensity of the generated vibration cannot be adjusted separately. The construction composed of two independently driven coaxial eccentric rotors -which makes a strongly coupled nonlinear system -allows for the separate control of the frequency and amplitude by the adjustment of the angular speed and the total eccentricity. This paper presents a complete control design approach based on quasi-linear parameter varying (qLPV) modelling and linear matrix inequality (LMI)-based synthesis utilizing the tensor product (TP) model transformation to determine the convex polytopic representation of the parameter dependent nonlinear system. The design approach is demonstrated via a concrete numerical example using the parameters of a real dual-excenter prototype device. The control performance is validated through numerical simulations. This case study goes through a complete nonlinear control problem from the modelling phase to the implementation-ready controller, while drawing generalizable conclusions for qLPV modelling.

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Faster and Less Error-Prone: Supplementing an Accessible Keyboard with Speech Input

Bhikne

Joshi

et al. 2019

Human-Computer Interaction – INTERACT 2019

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Swarachakra is an Abugida text input keyboard available in 12 Indian languages. We enhanced an accessible version of Swarachakra Marathi with speech input. However, speech input could be error-prone, and especially so for languages where speech recognition technologies are new. Such errors could either slow the user down due to the need for editing, or go unnoticed, leading to high uncorrected error rates. We therefore conducted a withinsubject empirical study to compare the user performance of keyboard-only input method with keyboard+speech input method with 11 novice visually impaired users. We found that keyboard+speech input was almost 11 times faster, reaching 182 characters per minute, and had a lower uncorrected error rate than the keyboard-only input, and in spite of having higher corrected error rates. Though we used a wide variety of phrases in our study, we observed that all phrases were faster on average with the keyboard+speech input method. To the best of our knowledge, ours is the first empirical study to evaluate the performance of speech enabled text input in Marathi for visually impaired people. This is the highest reported speed by visually impaired users in any Indian language.

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Smartphone haptic feedback for nonvisual wayfinding

Cited by 50 publications

References 7 publications

DigiTaps

DigiTaps

Output Feedback Control of a Dual‐Excenter Vibration Actuator via qLPV Model and TP Model Transformation

Faster and Less Error-Prone: Supplementing an Accessible Keyboard with Speech Input

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