Investigating the effectiveness of tactile feedback for mobile touchscreens

Hoggan, Eve; Brewster, Stephen; Johnston, Jody

doi:10.1145/1357054.1357300

Cited by 349 publications

(205 citation statements)

References 11 publications

Supporting

Mentioning

188

Contrasting

Unclassified

Order By: Relevance

“…The results of their experiment showed that, compared with the soft keyboard without tactile feedback, tactile feedback helps to improve typing speed and accuracy. They also indicated that tactile feedback should also be helpful for typing with fingertips, a prediction that was confirmed later by Hoggan et al [4]. Hoggan et al tested two kinds of tactile feedback: vibrating the entire touch panel using the device's built-in tactor, and generating tactile feedback by selectively turning on and off multiple actuators attached to the device to simulate localized feedback for each key.…”

Section: Introductionmentioning

confidence: 90%

Text Entry Performance Evaluation of Haptic Soft QWERTY Keyboard on a Tablet Device

Han

Kim

Yatani

et al. 2014

Haptics: Neuroscience, Devices, Modeling, and Applications

View full text Add to dashboard Cite

Abstract.Recently touch screens are widely used for mobile devices to provide intuitive and natural interactions with fingertips. However, the lack of tactile feedback makes it difficult for users to receive key-click confirmation during text entry on soft keyboards. This paper examines the effect of tactile feedback on typing performance with the soft QWERTY keyboard: the most commonly used multifinger text entry method on tablet devices. We implemented tactile feedback hardware and software to simulate the key-click effect on a commerciallyavailable mobile tablet (Microsoft Surface Pro). We conducted a typing experiment to measure user performance and preference. The participants transcribed given phrases under three sensory feedback conditions: visual only, visual and audio, and visual and tactile. The results are unexpected; we did not find any significant difference in terms of typing performance, and user preference was as positive as the audio condition though better received than the visual only condition. This study thus reports different findings from previous work studying text entry on handheld devices, encouraging further examinations to fully understand the effect of tactile feedback on text entry in tablet devices.

show abstract

Section: Introductionmentioning

confidence: 90%

Text Entry Performance Evaluation of Haptic Soft QWERTY Keyboard on a Tablet Device

Han

Kim

Yatani

et al. 2014

Haptics: Neuroscience, Devices, Modeling, and Applications

View full text Add to dashboard Cite

show abstract

“…Haptic interaction is also primarily latency intensive. Much like typing on a keyboard requires immediate haptic response for accurate text entry [21], haptic feedback can be perceived as unnatural or fake, if it is over 7 ms in inking applications for example [3], if the feedback is engaged too long after the visual stimulus has occurred. (2) Bandwidth Like latency, bandwidth is also a significant limitation for applications like 3D reconstruction and telepresence, where the transmission of gigabytes of dense model or point cloud data is a necessity.…”

Section: Challenges (1) Latencymentioning

confidence: 99%

Virtual and Augmented Reality on the 5G Highway

Orlosky

Kiyokawa

Takemura

2017

Journal of Information Processing

View full text Add to dashboard Cite

Abstract:In recent years, virtual and augmented reality have begun to take advantage of the high speed capabilities of data streaming technologies and wireless networks. However, limitations like bandwidth and latency still prevent us from achieving high fidelity telepresence and collaborative virtual and augmented reality applications. Fortunately, both researchers and engineers are aware of these problems and have set out to design 5G networks to help us to move to the next generation of virtual interfaces. This paper reviews state of the art virtual and augmented reality communications technology and outlines current efforts to design an effective, ubiquitous 5G network to help to adapt to virtual application demands. We discuss application needs in domains like telepresence, education, healthcare, streaming media, and haptics, and provide guidelines and future directions for growth based on this new network infrastructure.

show abstract

“…Even tough touch devices enables much more freedom when compared with buttons based phones, the input error by those devices are higher, as shows by Hoggan et al [Hoggan et al 2008] using keyboard input tests.…”

Section: Touch Devicesmentioning

confidence: 99%

gRmobile: A Framework for Touch and Accelerometer Gesture Recognition for Mobile Games

Joselli¹,

Clua²

2009

2009 VIII Brazilian Symposium on Games and Digital Entertainment

View full text Add to dashboard Cite

Mobile phone games are usually design to be able to play using the traditional number pads of the handsets. This is stressfully difficult for the user interaction and consequently for the game design. Because of that, one of the most desired features of a mobile games is the usage of few buttons as possible. Nowadays, with the evolution of the mobile phones, more types of user interaction are appearing, like touch and accelerometer input. With these features, game developers have new forms of exploring the user input, being necessary to adapt or create new kinds of game play. With mobile phones equipped with 3D accelerometers, developers can use the simple motion of the device to control the game or use complex accelerated gestures. And with mobile phones equipped with the touch feature, they can use a simple touch or a complex touch gesture recognitions. For the gesture to be recognized one can use different methods like simple brute force gestures, that only works well on simple gestures, or more complex pattern recognition techniques like hidden Markov fields, fuzzy logic and neural networks. This work presents a novel framework for touch/accelerometer gesture recognition that uses hidden Markov model for recognition of the gestures. This framework can also be used for the development of mobile application with the use of gestures.

show abstract

Investigating the effectiveness of tactile feedback for mobile touchscreens

Cited by 349 publications

References 11 publications

Text Entry Performance Evaluation of Haptic Soft QWERTY Keyboard on a Tablet Device

Text Entry Performance Evaluation of Haptic Soft QWERTY Keyboard on a Tablet Device

Virtual and Augmented Reality on the 5G Highway

gRmobile: A Framework for Touch and Accelerometer Gesture Recognition for Mobile Games

Contact Info

Product

Resources

About