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Author

Seungjun Kim

Other affiliations: Carnegie Mellon University
Bio: Seungjun Kim is an academic researcher from Gwangju Institute of Science and Technology. The author has contributed to research in topics: Augmented reality & Computer science. The author has an hindex of 14, co-authored 57 publications receiving 1060 citations. Previous affiliations of Seungjun Kim include Carnegie Mellon University.


Papers
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Proceedings ArticleDOI
26 Sep 2010
TL;DR: It is found that across all participants, the electrocardiogram median absolute deviation and median heat flux measurements were the most accurate at distinguishing between low and high levels of cognitive load, providing a classification accuracy of over 80% when used together.
Abstract: With a focus on presenting information at the right time, the ubicomp community can benefit greatly from learning the most salient human measures of cognitive load. Cognitive load can be used as a metric to determine when or whether to interrupt a user. In this paper, we collected data from multiple sensors and compared their ability to assess cognitive load. Our focus is on visual perception and cognitive speed-focused tasks that leverage cognitive abilities common in ubicomp applications. We found that across all participants, the electrocardiogram median absolute deviation and median heat flux measurements were the most accurate at distinguishing between low and high levels of cognitive load, providing a classification accuracy of over 80% when used together. Our contribution is a real-time, objective, and generalizable method for assessing cognitive load in cognitive tasks commonly found in ubicomp systems and situations of divided attention.

315 citations

Proceedings ArticleDOI
04 Apr 2009
TL;DR: This work proposes a novel concept of an in-vehicle navigation display system that displays navigation information directly onto the vehicle's windshield, superimposing it on the driver's view of the actual road.
Abstract: A common effect of aging is decline in spatial cognition. This is an issue for all elders, but particularly for elder drivers. To address this driving issue, we propose a novel concept of an in-vehicle navigation display system that displays navigation information directly onto the vehicle's windshield, superimposing it on the driver's view of the actual road. An evaluation of our simulated version of this display shows that it results in a significant reduction in navigation errors and distraction-related measures compared to a typical in-car navigation display for elder drivers. These results help us understand how context-sensitive information and a simulated augmented reality representation can be combined to minimize the cognitive load in translating between virtual/information spaces and the real world.

237 citations

Proceedings ArticleDOI
18 Apr 2015
TL;DR: This paper collects sensor and human-annotated data from 15 drivers, including vehicle motion, traffic states, physiological responses and driver motion and demonstrates that this data can be used to build a machine learning classifier that can determine interruptibility every second with 94% accuracy.
Abstract: Interruptions while driving can be quite dangerous, whether these are self-interruptions or external interruptions. They increase driver workload and reduce performance on the primary driving task. Being able to identify when a driver is interruptible is critical for building systems that can mediate these interruptions. In this paper, we collect sensor and human-annotated data from 15 drivers, including vehicle motion, traffic states, physiological responses and driver motion. We demonstrate that this data can be used to build a machine learning classifier that can determine interruptibility every second with a 94% accuracy. We present both population and individual models and discuss the features that contribute to the high performance of this system. Such a classifier can be used to build systems that mediate when drivers use technology to self-interrupt and when drivers are interrupted by technology.

50 citations

Proceedings ArticleDOI
07 May 2011
TL;DR: It is found that contrast of size and reduced clutter are instrumental in enhancing driving performance, particularly for the elder population, and that color elements have a negative effect on driving performance for elders, while color elements and fills slightly improve performance.
Abstract: The elder population is rising worldwide; in the US, no longer being able to drive is a significant marker of loss of independence. One of the approaches to helping elders drive more safely is to investigate the use of automotive user interface technology, and specifically, to explore the instrument panel (IP) display design to help attract and manage attention and make information easier to interpret. In this paper, we explore the premise that dashboard displays can be better designed to support elder drivers, their information needs, and their cognitive capabilities. We conducted a study to understand which display design features are critically linked to issues of divided attention and driving performance. We found that contrast of size and reduced clutter are instrumental in enhancing driving performance, particularly for the elder population. Surprisingly, our results showed that color elements have a negative effect on driving performance for elders, while color elements and fills slightly improve performance. We conclude with design implications generated from this work.

47 citations

Proceedings ArticleDOI
01 Dec 2014
TL;DR: In this article, the authors investigated how to assess real-time cognitive load based on psycho-physiological measurements, and they used two different cognitive tasks that test perceptual speed and visio-spatial cognitive processing capabilities, and built accurate models that differentiate an individual's cognitive load (low and high) for both young and older adults.
Abstract: We are increasingly in situations of divided attention, subject to interruptions, and having to deal with an abundance of information. Our cognitive load changes in these situations of divided attention, task interruption or multitasking; this is particularly true for older adults. To help mediate our finite attention resources in performing cognitive tasks, we have to be able to measure the real-time changes in the cognitive load of individuals. This paper investigates how to assess real-time cognitive load based on psycho-physiological measurements. We use two different cognitive tasks that test perceptual speed and visio-spatial cognitive processing capabilities, and build accurate models that differentiate an individual's cognitive load (low and high) for both young and older adults. Our models perform well in assessing load every second with two different time windows: 10 seconds and 60 seconds, although less accurately for older participants. Our results show that it is possible to build a real-time assessment method for cognitive load. Based on these results, we discuss how to integrate such models into deployable systems that mediate attention effectively.

44 citations


Cited by
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Journal ArticleDOI
TL;DR: A survey of factor analytic studies of human cognitive abilities can be found in this paper, with a focus on the role of factor analysis in human cognitive ability evaluation and cognition. But this survey is limited.
Abstract: (1998). Human cognitive abilities: A survey of factor analytic studies. Gifted and Talented International: Vol. 13, No. 2, pp. 97-98.

2,388 citations

Journal ArticleDOI
TL;DR: The field of AR is described, including a brief definition and development history, the enabling technologies and their characteristics, and some known limitations regarding human factors in the use of AR systems that developers will need to overcome.
Abstract: We are on the verge of ubiquitously adopting Augmented Reality (AR) technologies to enhance our percep- tion and help us see, hear, and feel our environments in new and enriched ways. AR will support us in fields such as education, maintenance, design and reconnaissance, to name but a few. This paper describes the field of AR, including a brief definition and development history, the enabling technologies and their characteristics. It surveys the state of the art by reviewing some recent applications of AR technology as well as some known limitations regarding human factors in the use of AR systems that developers will need to overcome.

1,526 citations

Journal ArticleDOI
02 Nov 2017-Cell
TL;DR: This large-scale analysis of 206 adult soft tissue sarcomas reveals previously unappreciated sarcoma-type-specific changes in copy number, methylation, RNA, and protein, providing insights into refining Sarcoma therapy and relationships to other cancer types.

684 citations

Journal ArticleDOI
TL;DR: The research and development of augmented reality (AR) applications in design and manufacturing is reviewed in this paper, which consists of seven main sections: the background of manufacturing simulation applications and the initial AR developments, current hardware and software tools associated with AR.

580 citations

Journal ArticleDOI
TL;DR: A critical analysis of 30 years of ageing research published across the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) community highlights how ageing is typically framed as a “problem” that can be managed by technology.
Abstract: Ageing has become a significant area of interest in Human-Computer Interaction (HCI) in recent years. In this article we provide a critical analysis of 30 years of ageing research published across the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) community. Discourse analysis of the content of 644 archival papers highlights how ageing is typically framed as a “problem” that can be managed by technology. We highlight how ageing is typically defined through an emphasis on the economic and societal impact of health and care needs of older people, concerns around socialisation as people age, and declines in abilities and associated reductions in performance when using technology. We draw from research within the fields of social and critical gerontology to highlight how these discourses in SIGCHI literature represent common stereotypes around old age that have also prevailed in the wider literature in gerontology. We conclude by proposing strategies for future research at the intersection of ageing and HCI.

305 citations