The potentials of in-situ-projection for augmented workplaces in production

Korn, Oliver; Schmidt, Albrecht; Hörz, Thomas

doi:10.1145/2468356.2468531

Cited by 43 publications

(21 citation statements)

References 11 publications

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“…Due to the recent growing interest in smart manufacturing and Industry 4.0 [18], [19], studies on recognizing and supporting factory work using sensor technologies [20], [21] have been attracting attention.…”

Section: Related Workmentioning

confidence: 99%

Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor

Namioka

Nakai

Ohara

et al. 2017

Journal of Information Processing

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Abstract:In this paper, we attempt to estimate lead time (duration) of each period of an operation process by a factory worker using a wrist-worn accelerometer. In a factory line production system, a worker repetitively performs predefined operation processes, and the lead time greatly affects productivity of the line production system. Our proposed method automatically finds a frequent sensor data segment as a "motif" that occurs once in each operation period using only prior knowledge about predefined standard lead time of the operation process, and uses the occurrence intervals of the motif to estimate the lead time.

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Section: Related Workmentioning

confidence: 99%

Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor

Namioka

Nakai

Ohara

et al. 2017

Journal of Information Processing

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“…Korn et al [3] showed that projected information is helpful for impaired persons in performing manual assembly work. They focused on projecting information directly onto work spaces but they did not look into changing work hand movements to match those of experts.…”

Section: Related Workmentioning

confidence: 99%

Projecting Recorded Expert Hands at Real Size, at Real Speed, and onto Real Objects for Manual Work

Suzuki

Murase

Fujii

2016

Companion Publication of the 21st International Conference on Intelligent User Interfaces

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Expert manual workers in factories assemble more efficiently than novices because their movements are optimized for the tasks. In this paper, we present an approach to projecting the hand movements of experts at real size, and real speed and onto real objects in order to match the manual work movements of novices to those of experts. We prototyped a projector-camera system, which projects the virtual hands of experts. We conducted a user study in which users worked after watching experts work under two conditions: using a display and using our prototype system. The results show our prototype users worked more precisely and felt the tasks were easier. User ratings also show our prototype users watched videos of experts more fixedly, memorized them more clearly and distinctly tried to work in the same way shown in the videos as compared with display users.

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“…For gamification to be useful and accepted in industrial production contexts, it has to be discrete and "stay in the back". This results in the following requirements for an ideal implementation, which have partly been described in previous work [19] :…”

Section: Requirementsmentioning

confidence: 99%

Towards a gamification of industrial production

Korn

Funk

Schmidt

2015

Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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Using video game elements to improve user experience and user engagement in non-game applications is called "gamification". This method of enriching human-computer interaction has been applied successfully in education, health and general business processes. However, it has not been established in industrial production so far.After discussing the requirements specific for the production domain we present two workplaces augmented with gamification. Both implementations are based on a common framework for context-aware assistive systems but exemplify different approaches: the visualization of work performance is complex in System 1 and simple in System 2.Based on two studies in sheltered work environments with impaired workers, we analyze and compare the systems' effects on work and on workers. We show that gamification leads to a speed-accuracy-tradeoff if no quality-related feedback is provided. Another finding is that there is a highly significant raise in acceptance if a straightforward visualization approach for gamification is used.

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The potentials of in-situ-projection for augmented workplaces in production

Cited by 43 publications

References 11 publications

Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor

Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor

Projecting Recorded Expert Hands at Real Size, at Real Speed, and onto Real Objects for Manual Work

Towards a gamification of industrial production

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