Study on Character Input Methods Using Eye-gaze Input Interface

Murata, Atsuo; Hayashi, K.; Moriwaka, Makoto; Hayami, Takehito

doi:10.1007/978-3-642-39330-3_34

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…For instance, an evaluation of two approaches—controlling the application using OptiKey to emulate the mouse and customizing interfaces for eye‐movement interaction—was conducted on Twitter (Kumar et al, 2017). Murata et al (2013) further compared four Japanese character input methods via fixation on the input interface in terms of input speed, accuracy, simplicity, and fatigue. Chen and Lin (2018) developed an eye‐movement method via fixation to operate a smart television based on expert evaluations and provided design specifications for eye‐control interfaces.…”

Section: Introductionmentioning

confidence: 99%

“…According to the literature on the interface design of eye‐control systems, several researchers have used this technology for secondary development and application and conducted ergonomic evaluation experiments. However, these studies were conducted in specific areas, with strong pertinence but weak universality (Murata et al, 2013; Panwar et al, 2012). Although certain researchers have conducted quantitative research on the size and spacing of controls (Shen et al, 2003) and operating area (Komogortsev et al, 2011), these results are relatively outdated.…”

Section: Introductionmentioning

confidence: 99%

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Improving accuracy of gaze‐control tools: Design recommendations for optimum position, sizes, and spacing of interactive objects

Niu

Zuo

Yang

et al. 2021

Hum Ftrs & Erg Mfg Svc

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To investigate a suitable design of interactive objects in the fixation-triggered eyecontrol interface, this study conducted two ergonomic experiments based on the location of an object, area of the object, and distance between adjacent objects. Experiment 1 investigated the priority distribution of different regions and recommended values of object sizes in different regions. The results showed that middle-middle (MM) area is the optimal area, while middle-left (ML) area, middleright (MR) area, and upper-left (UL) area are suboptimal areas, and the remaining are general areas. The recommended minimum sizes for the optimal area, suboptimal area, and general area are 2.636°(200 px on the screen of a 1920 px × 1080 px 14 inch monitor), 2.978°(225 px on the screen of a 1920 px × 1080 px 14 inch monitor) and 3.322°(250 px on the screen of a 1920 px × 1080 px 14-inch monitor), respectively. Experiment 2 conducted ergonomic experiments of different distances between adjacent objects in horizontal and vertical distributions.The results showed that the appropriate setting of the distribution and size of the objects showed no significant difference between different levels of spacing on the trigger accuracy rate and task completion time. Further, 1.032°(75 px on the screen of a 1920 px × 1080 px 14-inch monitor) could be recommended as the most suitable spacing. According to the conclusions of Experiments 1 and 2, an optimized eye-control interface and the NASA-TLX scale were used to verify the validity and scientificity of the experimental results. The conclusions can be employed to improve the interaction efficiency of the eye-control system and user experience and expand the application field of eye control.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving accuracy of gaze‐control tools: Design recommendations for optimum position, sizes, and spacing of interactive objects

Niu

Zuo

Yang

et al. 2021

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…Eye-gaze-based human-computer interaction techniques enable users to point to targets more quickly than they can with a computer mouse [1][2][3][4][5][6][7][8][9][10][11][12][13]. Previous studies have encompassed a variety of human-computer interaction tasks, such as clicks [11,14], menu selection [15], and character input [16]. Faster target acquisition has been reported for an eye-gaze input system with short dwell times of 150 ms [2,3].…”

Section: Introductionmentioning

confidence: 99%

Development of an Eye-Gaze Input System With High Speed and Accuracy through Target Prediction Based on Homing Eye Movements

et al. 2021

Self Cite

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In this study, a method to predict a target on the basis of the trajectory of eye movements and to increase the pointing speed while maintaining high predictive accuracy is proposed. First, a predictive method based on ballistic (fast) eye movements (Approach 1) was evaluated in terms of pointing speed and predictive accuracy. In Approach 1, the so-called Midas touch problem (pointing to an unintended target) occurred, particularly when a small number of samples was used to predict a target. Therefore, to overcome the poor predictive accuracy of Approach 1, we developed a new predictive method (Approach 2) using homing (slow) eye movements rather than ballistic (fast) eye movements. Approach 2 overcame the disadvantage (inaccurate prediction) of Approach 1 by shortening the pointing time while maintaining high predictive accuracy.INDEX TERMS eye-gaze input, target predictive method, ballistic eye movement, homing eye movement, pointing time, predictive accuracy, Midas touch

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“…Such conditions reduce the user's ability to interact with people and machines while the effectiveness of traditional assitive technologies (e.g., mouth stick) diminishes with the severity or stage of the condition. Eye tracking systems have been shown to be effective with patients suffering from these conditions (Murata et al 2012), however most regulatory and technological efforts largely focus on visually impaired users. Popular front-end frameworks such as Twitter's Bootstrap and Zurb's Foundation adhere to and support the A11Y project -"a community driven effort to make web accessibility easier" (The Accessibility Project .…”

Section: Introductionmentioning

confidence: 99%

Butterfleye: Supporting the Development of Accessible Web Applications for Users with Severe Motor-Impairment

Chetcuti

Porter

2016

Electronic Workshops in Computing

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Various accessibility standards and guidelines exist, targeting different disabilities. Nonetheless persons suffering from Severe Motor Disabilities (SMD) are generally excluded from development efforts, mainly because of a lack in accessibility regulations, standards and developer support. This work presents Butterfleye, a novel developer-centric tool that facilitates the development of accessible gaze-driven web applications for SMD users. Butterfleye relies and builds upon a widely-adopted open-source front-end framework to incentivise frictionless developer adoption. Low cost eye-tracking devices are also examined to lower barriers for end-user adoption. We present an open-source library developed iteratively over a series of user-centric studies and report initial evidence of, and observations on, its effectiveness with SMD users.

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Study on Character Input Methods Using Eye-gaze Input Interface

Cited by 8 publications

References 9 publications

Improving accuracy of gaze‐control tools: Design recommendations for optimum position, sizes, and spacing of interactive objects

Improving accuracy of gaze‐control tools: Design recommendations for optimum position, sizes, and spacing of interactive objects

Development of an Eye-Gaze Input System With High Speed and Accuracy through Target Prediction Based on Homing Eye Movements

Butterfleye: Supporting the Development of Accessible Web Applications for Users with Severe Motor-Impairment

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