Personalized work instruction system for revitalizing human-machine interaction

Tsutsumi, Daisuke; Gyulai, Dávid; Takács, Emma; Bergmann, Júlia; Nonaka, Youichi; Fujita, Kikuo

doi:10.1016/j.procir.2020.04.062

Cited by 9 publications

(2 citation statements)

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“…The results, represent a user's affective memories of the day of use. In summary, the aforementioned research indicates that affective computing positively affects human-machine interfaces when emotion systems are appropriately designed [21].…”

Section: Affective Computingmentioning

confidence: 99%

Constructing Emotional Machines: A Case of a Smartphone-Based Emotion System

Lin

Lee³

2021

Electronics

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In this study, an emotion system was developed and installed on smartphones to enable them to exhibit emotions. The objective of this study was to explore factors that developers should focus on when developing emotional machines. This study also examined user attitudes and emotions toward emotional messages sent by machines and the effects of emotion systems on user behavior. According to the results of this study, the degree of attention paid to emotional messages determines the quality of the emotion system, and an emotion system triggers certain behaviors in users. This study recruited 124 individuals with more than one year of smartphone use experience. The experiment lasted for two weeks, during which time participants were allowed to operate the system freely and interact with the system agent. The majority of the participants took interest in emotional messages, were influenced by emotional messages and were convinced that the developed system enabled their smartphone to exhibit emotions. The smartphones generated 11,264 crucial notifications in total, among which 76% were viewed by the participants and 68.1% enabled the participants to resolve unfavorable smartphone conditions in a timely manner and allowed the system agent to provide users with positive emotional feedback.

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Section: Affective Computingmentioning

confidence: 99%

Constructing Emotional Machines: A Case of a Smartphone-Based Emotion System

Lin

Lee³

2021

Electronics

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“…One realization emerging in the wake of this effort is that many different technologies and methodologies, e.g., human-machine interaction, networking, artificial intelligence (AI), smart sensing and data acquisition, have to be considered. Smart production facilities of the future will consist of networked, AI-assisted manufacturing environments in which humans will act and cooperate with the available assistance systems [6]. Increasing AI capabilities will make human work more flexible and more proactively supported by intelligent machines.…”

Section: Introductionmentioning

confidence: 99%

Secure and Privacy-Respecting Documentation for Interactive Manufacturing and Quality Assurance

et al. 2021

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The automated documentation of work steps is a requirement of many modern manufacturing processes. Especially when it comes to important procedures such as safety critical screw connections or weld seams, the correct and complete execution of certain manufacturing steps needs to be properly supervised, e.g., by capturing video snippets of the worker to be checked in hindsight. Without proper technical and organizational safeguards, such documentation data carries the potential for covert performance monitoring to the disadvantage of employees. Naïve documentation architectures interfere with data protection requirements, and thus cannot expect acceptance of employees. In this paper we outline use cases for automated documentation and describe an exemplary system architecture of a workflow recognition and documentation system. We derive privacy protection goals that we address with a suitable security architecture based on hybrid encryption, secret-sharing among multiple parties and remote attestation of the system to prevent manipulation. We finally contribute an outlook towards problems and possible solutions with regards to information that can leak through accessible metadata and with regard to more modular system architectures, where more sophisticated remote attestation approaches are needed to ensure the integrity of distributed components.

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