A task-independent design and development process for cognitive products in industrial applications

Murauer, Michaela; Jungwirth, Florian; Anzengruber, Bernhard; Abbas, Ali; Ahmad, Abdelrahman; Azadi, Behrooz; Cho, Jullius; Ennsbrunner, Helmut; Ferscha, Alois; Gerhard, Detlef; Gollan, Benedikt; Haslgrübler, Michael; Selymes, Johannes; Sopidis, Georgios; Stutz, Matthias; Weißenbach, Paul

doi:10.1145/3316782.3322748

Cited by 4 publications

(2 citation statements)

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“…This category includes all papers that in any way explore the interaction between humans and machines in the context of Cognitive Production Systems. Topics such as mechanical cooperation [1], communication or information exchange between humans and machines [13] or gadgets for humans, which are supposed to facilitate cooperation, are described here [22]. A total of 37 papers were assigned to the category "reconfiguration/programming".…”

Section: Discussionmentioning

confidence: 99%

Cognitive Production Systems: A Mapping Study

Deutschmann¹,

Ghofrani²,

Reichelt³

2020

Preprint

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Production plants today are becoming more and more complicated through more automation and networking. It is becoming more difficult for humans to participate, due to higher speed and decreasing reaction time of these plants. Tendencies to improve production systems with the help of cognitive systems can be identified. The goal is to save resources and time. This mapping study gives an insight into the domain, categorizes different approaches and estimates their progress. Furthermore, it shows achieved optimizations and persisting problems and barriers. These representations should make it easier in the future to address concrete problems in this research field. Human-Machine Interaction and Knowledge Gaining/Sharing represent the largest categories of the domain. Most often, a gain in efficiency and maximized effectiveness can be achieved as optimization. The most common problem is the missing or only difficult generalization of the presented concepts.

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Section: Discussionmentioning

confidence: 99%

Cognitive Production Systems: A Mapping Study

Deutschmann¹,

Ghofrani²,

Reichelt³

2020

Preprint

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“…The developed model has enough fertility and it was used for city-scale evacuations ( Zia & Mitleton-Kelly, 2013 ). It was also experimented in an industrial setup ( Murauer et al, 2019 ).…”

Section: Background and Motivationmentioning

confidence: 99%

On the effectiveness of multi-feature evacuation systems: an agent-based exploratory simulation study

Zia

Farooq

Shafi

et al. 2021

PeerJ Computer Science

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Evacuation modeling and simulation are usually used to explore different possibilities for evacuation, however, it is a real challenge to integrate different categories of characteristics in unified modeling space. In this paper, we propose an agent-based model of an evacuating crowd so that a comparative analysis of a different sets of parameters categorized as individual, social and technological aspects, is made possible. In particular, we focus on the question of rationality vs. emotionalism of individuals in a localized social context. In addition to that, we propose and model the concept of extended social influence, thereby embedding technological influence within the social influence, and analyze its impact on the efficiency of evacuation. NetLogo is used for simulating different variations in environments, evacuation strategies, and agents demographics. Simulation results revealed that there is no substantial advantage of informational overload on people, as this might work only in those situations, where there are fewer chances of herding. In more serious situations, people should be left alone to decide. They, however, could be trained in drills, to avoid panicking in such situations and concentrate on making their decisions solely based on the dynamics of their surroundings. It was also learned that distant connectivity has no apparent advantage and can be ruled out while designing an evacuation strategy based on these recommendations.

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