2020
DOI: 10.1007/978-3-030-64823-7_13
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Exploring Design Principles for Enterprise Chatbots: An Analytic Hierarchy Process Study

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Cited by 10 publications
(15 citation statements)
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“…Hobert [26], and partly Chakrabarti and Luger [27], equip a chatbot with a finite state machine to dynamically map processes to support complex tasks and allow longer conversations. Additionally, Feine et al [13], Diederich et al [28], as well as Rietz et al [29] summarize their findings by design principles for enterprise chatbots.…”
Section: Related Researchmentioning
confidence: 99%
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“…Hobert [26], and partly Chakrabarti and Luger [27], equip a chatbot with a finite state machine to dynamically map processes to support complex tasks and allow longer conversations. Additionally, Feine et al [13], Diederich et al [28], as well as Rietz et al [29] summarize their findings by design principles for enterprise chatbots.…”
Section: Related Researchmentioning
confidence: 99%
“…This should be as comprehensive as possible at that point, but should also be continuously monitored and adapted during the further course of the project. The current research can provide starting points for requirements in terms of design principles, e.g., [7,13,[21][22][23]28]. Next, the sourcing decision is necessary 14 .…”
Section: Planning Phasementioning
confidence: 99%
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“…Consequently, in the natural language generation (NLG) an output, i.e., an answer or a follow-up question for clarification or to determine the subsequent dialog, is created (Berg 2014). This may include text, images, videos, and control elements (Feine et al 2020a;Kusber 2017).…”
Section: Natural Language Processing Backendmentioning
confidence: 99%
“…Besides individual approaches to design aspects, little research, however, has focused on the use of chatbots for process support or process execution with chatbots in everyday office life. Especially, the studies on work task execution have focused mainly on simple tasks (e.g., resetting a password), and less on intelligent workflows or whole processes (Feine et al 2020a).…”
Section: Introduction 23mentioning
confidence: 99%