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  4. Intelligent Assistants: Conceptual Dimensions, Contextual Model, and Design Trends
 
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2022
Journal Article
Title

Intelligent Assistants: Conceptual Dimensions, Contextual Model, and Design Trends

Abstract
Intelligent assistants are an increasingly commonplace class of information systems spanning a broad range of form and complexity. But what characterizes an intelligent assistant, and how do we design better assistants? In the paper, the authors contribute to scientific research in the domain of intelligent assistants in three steps, each building on the previous. First, they investigate the historical context of assistance as human work. By examining qualitative studies regarding the work of human assistants, the authors inductively derive concepts crucial to modeling the context of assistance. This analysis informs the second step, in which they develop a conceptual typology of intelligent assistants using 111 published articles. This typology explicates the characteristics (what or how) of intelligent assistants and their use context (who or which). In the third and final step, the authors utilize this typology to shed light on historical trends and patterns in design and evaluation of intelligent assistants, reflect on missed opportunities, and discuss avenues for further exploration.
Author(s)
Dhiman, Hitesh
Wächter, Christoph
Fellmann, Michael
Röcker, Carsten  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Journal
Business & information systems engineering  
Open Access
File(s)
Download (951.42 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1007/s12599-022-00743-1
10.24406/publica-r-416474
Additional link
Full text
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • contextual model

  • design goal

  • design trends

  • intelligent assistants

  • typology

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