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A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

Zschech, Patrick; Walk, Jannis; Heinrich, Kai; Vössing, Michael ORCID iD icon; Kühl, Niklas ORCID iD icon

Abstract (englisch):

Computer vision (CV) techniques try to mimic human capabilities of visual perception to support labor-intensive and time-consuming tasks like the recognition and localization of critical objects. Nowadays, CV increasingly relies on artificial intelligence (AI) to automatically extract useful information from images that can be utilized for decision support and business process automation. However, the focus of extant research is often exclusively on technical aspects when designing AI-based CV systems while neglecting socio-technical facets, such as trust, control, and autonomy. For this purpose, we consider the design of such systems from a hybrid intelligence (HI) perspective and aim to derive prescriptive design knowledge for CV-based HI systems. We apply a reflective, practice-inspired design science approach and accumulate design knowledge from six comprehensive CV projects. As a result, we identify four design-related mechanisms (i.e., automation, signaling, modification, and collaboration) that inform our derived meta-requirements and design principles. This can serve as a basis for further socio-technical research on CV-based HI systems.

Preprint §
DOI: 10.5445/IR/1000131822
Veröffentlicht am 31.05.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 14.06.2021
Sprache Englisch
Identifikator KITopen-ID: 1000131822
Erschienen in 29th European Conference on Information Systems (ECIS 2021), June 14 - 16, 2021 - Marrackech, Morocco
Veranstaltung 29th European Conference on Information Systems (ECIS 2021), Online, 14.06.2021 – 16.06.2021
Nachgewiesen in arXiv
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