Browsing by Author "Ban, Gayoung"

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  • Design of Multimodal In-Vehicle Notifications at Highway-Rail Grade Crossings: A Perception Study
    Dam, Abhraneil; Ro, Henry; Walker, Samantha; Ban, Gayoung; Lautala, Pasi; Veinott, Elizabeth; Jeon, Myounghoon (SAGE Publications, 2024-09)
    Up to 67% of accidents at Highway-Rail Grade Crossings (HRGCs) are due to motorists not stopping in time. To reduce the likelihood of vehicle-train accidents, the current study investigated the design of five novel visual and auditory in-vehicle notifications. An “Inform” notification was tested for “display time.” Notifications, “Slow,” “Intersection,” and “Stop” were tested for “display time” and “speech length”; a notification, “Over Tracks” was tested for “speech length” and “presentation order.” Twenty-six participants viewed driving simulator recordings, and rated the notifications at active rail crossing scenarios using Likert scales. The results showed that shorter speech length was preferred with delayed notification displays, and longer speech length was preferred with early notification displays. However, complex scenarios might require longer speech even with delayed displays, depending on additional variables such as driver speed or visibility. Additionally, the tradeoff between notifications being too urgent and startling should also be considered in safety-critical scenarios.
  • A Novel Affective Design Tool: Task Emotion Analysis (TEA)
    Jeon, Myounghoon; Ban, Gayoung; Choe, Mungyeong; Bond, Yeana Lee (SAGE Publications, 2024-09)
    As research interests have been increased on emotions and affect in Human Factors and Human-Computer Interaction (HCI), extensive research has been conducted on developing emotion detection technologies. However, little research has been conducted on the necessary former steps–for example, identifying what emotions are involved in specific use cases and how those emotions need to be treated. The present paper introduces a novel affective design tool, “Task Emotion Analysis (TEA)” following the traditional Human Factors method, Task Analysis. TEA involves basic task analysis but provides (1) what types of emotions are induced from or engaged with each task, (2) why they are induced, and (3) how they can be mitigated through interactions with technologies. Sample TEA results are provided to demonstrate its effectiveness. We hope that TEA can provide a legitimate method for the design of empathic interfaces and contribute to conducting deeper emotion analysis in Human Factors and HCI research.
  • Steering UX Education: Designing an Automotive UX Course A workshop for educators, designers, and researchers who have an interest in teaching about what should be designed within in-car interfaces
    Rampton, James M.; Robert, Lionel P.; Jeon, Myounghoon; Wang, Manhua; Ban, Gayoung; Patel, Ankit R.; Miller, Dave B. (ACM, 2024)
    In-car interfaces are the primary medium for communication between the occupants and the increasingly agentic vehicle systems. Although many universities teach automotive user experience and design courses, there is no consensus on what topics to cover. Some schools may choose to focus on the interior design of the cabin, including, but not limited to, physical controls and ergonomics, while other schools may just focus on the usability of what is shown to the driver and passengers. Participants in our workshop will discuss various topics for teaching Automotive UX and UI at both undergraduate and graduate levels, participating in interactive activities such as panels, breakout discussions, and syllabus design. Participants will then combine and form their findings into a course outline based on themes (ex., UI, Human Factors, etc.). This workshop is expected to achieve general consensus on a Automotive UX curriculum drawing from diverse stakeholders, including academia, industry, and government.