A system for three-dimensional gaze fixation analysis using eye tracking glasses

Takahashi, Ryo; Suzuki, Hiromasa; Chew, Jouh Yeong; Ohtake, Yutaka; Nagai, Yukie; Ohtomi, Koichi

doi:10.1016/j.jcde.2017.12.007

Cited by 22 publications

(15 citation statements)

References 18 publications

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“…This study utilized eye-tracking glasses and a mockup for participants to consider the size of the robot when evaluating its physical likeability. This is because design evaluation with two-dimensional images on the monitor is “often too limited” [ 63 ] compared to the use of three-dimensional mockup. Further, people usually look at the robot from various points of view.…”

Section: Discussionmentioning

confidence: 99%

“…Based on these findings, we analyzed the eye-tracking data recorded for 10 s. We used the Tobii I-VT Fixation filter (Velocity-Threshold Identification Fixation Filter [ 62 ]) of Tobii Pro Glasses Analyzer software (version 1.34; Tobii AB, Danderyd, Sweden). The gaze data were mapped onto a still image [ 63 , 64 ] with assisted mapping feature [ 64 , 65 ]. After the assisted mapping was completed, we carefully checked the incorrect mapping points and manually re-mapped them [ 66 , 67 ].…”

Section: Methodsmentioning

confidence: 99%

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Age-Related Differences in Fixation Pattern on a Companion Robot

2020

Sensors

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Recent studies have addressed the various benefits of companion robots and expanded the research scope to their design. However, the viewpoints of older adults have not been deeply investigated. Therefore, this study aimed to examine the distinctive viewpoints of older adults by comparing them with those of younger adults. Thirty-one older and thirty-one younger adults participated in an eye-tracking experiment to investigate their impressions of a bear-like robot mockup. They also completed interviews and surveys to help us understand their viewpoints on the robot design. The gaze behaviors and the impressions of the two groups were significantly different. Older adults focused significantly more on the robot’s face and paid little attention to the rest of the body. In contrast, the younger adults gazed at more body parts and viewed the robot in more detail than the older adults. Furthermore, the older adults rated physical attractiveness and social likeability of the robot significantly higher than the younger adults. The specific gaze behavior of the younger adults was linked to considerable negative feedback on the robot design. Based on these empirical findings, we recommend that impressions of older adults be considered when designing companion robots.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Age-Related Differences in Fixation Pattern on a Companion Robot

2020

Sensors

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“…Heatmaps are the main data visualisation tool used to analyse the accumulated positions of gaze and fixation distributions among AOIs [58,116]. A heatmap is a 2D visualisation of the analysed eye tracking data represented in colour scales [117].…”

Section: Eye Tracking Data Visualisation Toolsmentioning

confidence: 99%

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

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Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.

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“…Therefore, in response to comments from reviewers and attendees at its presentation, we redesigned the system and conducted the experiment with more participants and expanded its contents signi cantly. We also considered the large volume of research on the application of virtual or augmented reality to a user interface, which may be applied to user interfaces in the future (Takahashi et al, 2018;Fukuda Yokoi, Yabuki, & Motamedi, 2019;Son, Jang, & Choi, 2019;Sun, Hu, & Xu, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

User interface for in-vehicle systems with on-wheel finger spreading gestures and head-up displays

Lee

Yoon

2020

Journal of Computational Design and Engineering

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Interacting with an in-vehicle system through a central console is known to induce visual and biomechanical distractions, thereby delaying the danger recognition and response times of the driver and significantly increasing the risk of an accident. To address this problem, various hand gestures have been developed. Although such gestures can reduce visual demand, they are limited in number, lack passive feedback, and can be vague and imprecise, difficult to understand and remember, and culture-bound. To overcome these limitations, we developed a novel on-wheel finger spreading gestural interface combined with a head-up display (HUD) allowing the user to choose a menu displayed in the HUD with a gesture. This interface displays audio and air conditioning functions on the central console of a HUD and enables their control using a specific number of fingers while keeping both hands on the steering wheel. We compared the effectiveness of the newly proposed hybrid interface against a traditional tactile interface for a central console using objective measurements and subjective evaluations regarding both the vehicle and driver behaviour. A total of 32 subjects were recruited to conduct experiments on a driving simulator equipped with the proposed interface under various scenarios. The results showed that the proposed interface was approximately 20% faster in emergency response than the traditional interface, whereas its performance in maintaining vehicle speed and lane was not significantly different from that of the traditional one.

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A system for three-dimensional gaze fixation analysis using eye tracking glasses

Cited by 22 publications

References 18 publications

Age-Related Differences in Fixation Pattern on a Companion Robot

Age-Related Differences in Fixation Pattern on a Companion Robot

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

User interface for in-vehicle systems with on-wheel finger spreading gestures and head-up displays

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