Visual attention in interaction with Arabic augmentative and alternative communication apps

Al-Zeer, Shaden; Al-Ghanim, Amjad; Alwakeel, Lyan

doi:10.1109/iuser.2014.7002704

Cited by 5 publications

(5 citation statements)

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“…In addition, by examining scan paths and regression from one AOI to another it may be possible to identify interface components that are confusing for the children which could help improve the overall design of the game. For example, fixation data helped identify distracting content for the user and improve the usability (Al-Zeer et al 2014).…”

Section: The Second Question Rq2: What Insights Can Eye Tracking Tech...mentioning

confidence: 99%

Using Eye Tracking to Understand the Fidelity Effect when Evaluating Low-Fidelity Prototypes with Children

Sim

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2022

Electronic Workshops in Computing

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This study used eye tracking glasses to understand how children explore low-fidelity paper prototypes in the context of user experience studies. Twenty seven children aged between 9 and 11 participated in the study examining either a colour or black and white prototype of a mobile game. The research question being explored was whether the aesthetic refinement, either wireframe or high-resolution colour images, would affect children's selfreport and if so what could be learned from knowing where children looked when exploring the prototypes. The results showed that the aesthetic refinement had little influence over the children's overall ratings of the game. The eye tracking data demonstrated that most of the children focused on both the visuals and text on the pages of the prototype. However, there were a higher number of fixations recorded in the wireframe prototype suggesting this may have been more cognitively demanding. This paper contributes to understanding of fidelity effects when evaluating low-fidelity prototypes and shows how eye tracking technology can help inform HCI methodologies.

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Section: The Second Question Rq2: What Insights Can Eye Tracking Tech...mentioning

confidence: 99%

Using Eye Tracking to Understand the Fidelity Effect when Evaluating Low-Fidelity Prototypes with Children

Sim

Read

2022

Electronic Workshops in Computing

View full text Add to dashboard Cite

show abstract

“…From the analysis of literature, researchers have tended to use eye tracking technology in three different contexts the first as a form of interaction method within applications such as text to speech [31], interactive robots [65] or for experimental work comparing two products for example digital books [27] and finally user studies [33]. Within the four themes examples of interaction, user studies and experimental work will be discussed and critiqued.…”

Section: Research Within Themes and Sub-themesmentioning

confidence: 99%

“…• Understanding reading comprehension [26,30,31] • Understanding the difference in learning between adults and children [32] • Improving communication [33][34][35][36],…”

Section: Educationmentioning

confidence: 99%

“…Eye tracking and eye gaze data has also been used to assist children in their education, for example developing text to speech applications based on eye movement [30]. Apps have been developed to assist children with autism to communicate, and these have been evaluated using eye tracking to understand the children's visual attention [33]. Fixation data helped identify distracting content for the user, thus improving the usability.…”

Section: Educationmentioning

confidence: 99%

“…To validate the effectiveness of the guidelines experimental or user studies could be performed to understand how children interact with the technologies capturing data relating to Scan Paths, AOI, Fixation Durations. This data can provide insights into aspects such as the cognitive load [54], usability [33,52] or provide information on what the child is interacting with through gaze plots. Eye tracking could be used to complimented CCI design practices, for example, Axelsson et al [52] used eye tracking to understand how children interacted with a robot, following the use of participatory design sessions to help inform the design of the robot.…”

Section: Opportunitiesmentioning

confidence: 99%

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