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User-chatbot interaction: an acceptancy evaluation.

Authors: Valtolina S.; Matamoros Aragon R. A.; Castelli R.;

User-chatbot interaction: an acceptancy evaluation.

Abstract

In a growing number of contexts of use, chatbots are becoming an increasingly adopted interaction strategy. This paper explores the idea of using a chatbot in two key areas of interest: Customer service and Personal assistants. Specifically, we are interested in researching the acceptance level of this technology with regard to a user's set of behaviours, which defines the interaction process between users and chatbots. The main aim is to present a model to evaluate the most important factors that impact the acceptance of chatbots by users. To do it we devised an extension of the UTAUT model to assess the quality of the chatbot's communication in terms of completeness, clarity and transparency and to evaluate how much the user can trust a chatbot regarding privacy issues. The results demonstrate good effects on what concerns the acceptance of our chatbots by users.

Country
Italy
Keywords

Conversational interfaces; User-Chatbot interaction; UTAUT Model;

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green