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Object Detection in Floor Plans: Lessons From Designing a Human-in-the-Loop System

Hemmer, Patrick; Vössing, Michael ORCID iD icon; Blumenstiel, Benedikt


In the last few years, many companies in the Architecture, Engineering, and Construction (AEC) industry have started exploring how artificial intelligence can be utilized to improve work processes. This trend is fueled by several technological advances, such as the increasing adoption of Building Information Modeling (BIM). However, so far, only a few large- and medium enterprises have successfully transformed their data into actual business value. As in many other industries, employees are uncertain about the impact AI will have on their work and, therefore, are hesitant to support the upcoming transformation.

In the last few years, the concept of human-centered artificial intelligence has received attention from both scholars and practitioners. The approach is based on the idea that AI systems should not replace employees but augment and empower them. Especially, in architectural design, where many work processes are characterized by a multitude of repetitive tasks with low complexity, identifying and allocating these tasks to computers is a promising endeavor. Working with several architects in the last few years, we have realized that many employees are interested in systems that can relieve them of these “tedious tasks” while still giving them the ability to monitor these systems and contributing their domain expertise where needed. ... mehr

Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Vortrag
Publikationsdatum 24.03.2021
Sprache Englisch
Identifikator KITopen-ID: 1000130988
Veranstaltung Artificial Intelligence in Architecture, Engineering and Construction (2021), Online, 24.03.2021 – 25.03.2021
Schlagwörter Human-centered Artificial Intelligence
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