APPLICATION OF EYE TRACKING (ET) IN THE TRAINING OF DESIGNERS, A CASE STUDY OF THE DESIGN OF COMMERCIAL SPACES FOCUSED ON THE CONSUMER EXPERIENCE

Author(s):  
Yinna Carrillo ◽  
Nelida Ramírez
Author(s):  
Raluca-Giorgiana Chivu ◽  
Ionut-Claudiu Popa ◽  
Gheorghe Orzan ◽  
Dragos Andrei Stoica
Keyword(s):  

Author(s):  
Hong-En Chen ◽  
Rucha R. Bhide ◽  
David F. Pepley ◽  
Cheyenne C. Sonntag ◽  
Jason Z. Moore ◽  
...  

Manikins have traditionally been used to train ultrasound-guided Central Venous Catheterization (CVC), but are static in nature and require an expert observer to provide feedback. As a result, virtual simulation and personalized learning has been increasingly adopted in medical education to efficiently provide quantitative feedback. The Dynamic Haptic Robotic Trainer (DHRT) trains surgical residents in CVC needle insertions by simulating various patient profiles and presenting personalized feedback on objective performance. However, no studies have examined the learning gains of the personalized learning feedback or the relation of feedback to what the user is focusing on during the training. Thus, this study was developed to determine the effectiveness of the current personalized learning interface through a long-term investigation with 7 surgical residents. The eye tracking analysis showed that residents spent significantly more time fixated on percent aspiration throughout the study; the more time participants spent looking at the Number of Insertions, Percent Aspiration and the Angle of Insertion on the DHRT GUI, the better they performed on subsequent trials on the DHRT system.


Author(s):  
Na Chen ◽  
Ming Zhao ◽  
Kun Gao ◽  
Jun Zhao

Safety signs play a very important role in people’s evacuation during emergencies. In order to explore the appropriate color for subway safety signs, four safety signs of different color combinations are designed, and the virtual reality, eye-tracking technology, and physiological indicator measurement are used in a virtual subway fire escape experiment. A total of 96 participants with equal distribution in gender and four different color combination groups were recruited. Participants’ eye-tracking and physiological data (heart rate, skin conductance) were real-time recorded through ErgoLAB V3.0 in the whole experiment. The relationship between Color_of_safety_sign and escape performance, eye-tracking indicators, and physiological indicators is discussed respectively through SPSS. The results show that “Green and black” group has the best evacuation escape performance, low cognitive load, high search efficiency on safety signs, and the highest stress level and immersion and “Green and black” can be the most appropriate color for safety sign. This research is of certain significance for improving the function of subway fire-fighting infrastructure and the resilience of the metro system. Moreover, it can provide references and advice on risk management, emergency evacuation, and so on.


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