Leveraging Low Code Development of Smart Personal Assistants: An Integrated Design Approach with the SPADE Method

Smart personal assistants (SPAs), such as Alexa for example, promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low c...

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Bibliographic Details
Published in:Journal of management information systems Vol. 40; no. 1; pp. 96 - 129
Main Authors: Elshan, Edona, Ebel, Philipp, Söllner, Matthias, Leimeister, Jan Marco
Format: Journal Article
Language:English
Published: Abingdon Routledge 02.01.2023
Taylor & Francis Ltd
Subjects:
Anthropomorphic design
Anthropomorphism
Assistants
citizen development
Conversation
conversational agents
conversational design
Domains
end-user programming
Experts
IS development
low code development platform
Personal assistants
Research design
smart personal assistant
Subject specialists
ISSN:0742-1222, 1557-928X
Online Access:Get full text
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Summary:Smart personal assistants (SPAs), such as Alexa for example, promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low code environments that support the development of SPAs (e.g., for Google Home or Amazon's Alexa). These so-called low code platforms enable domain experts (e.g., business users without programming skills or experience) to develop SPAs for their purposes. However, using these platforms alone does not guarantee a useful and good conversation with novel SPAs due to non-intuitive design choices. Following a design science research approach, we propose the Smart Personal Assistant for Domain Experts (SPADE) method to address the missing link. This method supports domain experts in the development and contextualization of sophisticated SPAs for various application scenarios and focuses especially on conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful for supporting domain experts to create effective SPAs in different domains beyond private set-ups.
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ISSN:0742-1222
1557-928X
DOI:10.1080/07421222.2023.2172776