Towards a Framework for Classifying Chatbots

Daniel Braun, Florian Matthes

Abstract

From sophisticated personal voice assistants like Siri or Alexa to simplistic keyword-based search bots, today, the label “chatbot” is used broadly for all kinds of systems that use natural language as input. However, the systems summarized under this term are so diverse, that they often have very little in common with regard to technology, usage, and their theoretical background. In order to make such systems more comparable, we propose a framework that classifies chatbots based on six categories, which allow a meaningful comparison based on features which are relevant for developers, scientists, and users. Ultimately, we hope to support the scientific discourse, as well as the development of chatbots, by providing an instrument to classify and analyze different groups of chatbot systems regarding their requirements, possible evaluation strategies, available toolsets, and other common features.

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Paper Citation


in Harvard Style

Braun D. and Matthes F. (2019). Towards a Framework for Classifying Chatbots.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 496-501. DOI: 10.5220/0007772704960501


in Bibtex Style

@conference{iceis19,
author={Daniel Braun and Florian Matthes},
title={Towards a Framework for Classifying Chatbots},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={496-501},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007772704960501},
isbn={978-989-758-372-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards a Framework for Classifying Chatbots
SN - 978-989-758-372-8
AU - Braun D.
AU - Matthes F.
PY - 2019
SP - 496
EP - 501
DO - 10.5220/0007772704960501