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The friendly chatbot: revealing why people use chatbots through a study of user experience of conversational agents

The friendly chatbot: revealing why people use chatbots through a study of user experience of conversational agents
The friendly chatbot: revealing why people use chatbots through a study of user experience of conversational agents

Chatbots are becoming increasingly popular. However, little is known about the way chatbots should be designed. Whether the users should be informed or not beforehand that they are chatting with a chatbot is an open question. Similarly, questions related to the level of ‘humanistic’ tonality in interactions with chatbots are unanswered. In this paper, we present a controlled experiment in which 40 individuals participated. Their user experience was compared depending on whether they knew that they were chatting with chatbots before or afterwards. Two different versions of chatbots were tested (one with mechanical tonality and one with humanistic tonality). Our findings illustrate that: i) it is vital that the users enter the conversation knowing that they are chatting with a chatbot; ii) tonality matters, the way chatbots are designed is pivotal for the user experience, the ‘human-like’ and friendly chatbot was preferred over the mechanical, task-oriented chatbot.

Affective Computing, Artificial Intelligence, Chatbots, ChatGPT, Conversational Agents, Conversational AI, Human-Chatbot interaction, Information Systems, User Experience
Association for Information Systems
Islind, Anna Sigridur
46e6353f-a1b6-4628-916c-18e817695d03
Óskarsdóttir, María
d159ed8f-9dd3-4ff3-8b00-d43579ab71be
Smith, Svanhvít Ásta
d0e9843e-5773-465c-b762-a85f85c461eb
Arnardóttir, Erna Sif
9bfbbe32-8214-47a9-86ba-43be85458830
Islind, Anna Sigridur
46e6353f-a1b6-4628-916c-18e817695d03
Óskarsdóttir, María
d159ed8f-9dd3-4ff3-8b00-d43579ab71be
Smith, Svanhvít Ásta
d0e9843e-5773-465c-b762-a85f85c461eb
Arnardóttir, Erna Sif
9bfbbe32-8214-47a9-86ba-43be85458830

Islind, Anna Sigridur, Óskarsdóttir, María, Smith, Svanhvít Ásta and Arnardóttir, Erna Sif (2023) The friendly chatbot: revealing why people use chatbots through a study of user experience of conversational agents. In 29th Annual Americas Conference on Information Systems, AMCIS 2023. Association for Information Systems..

Record type: Conference or Workshop Item (Paper)

Abstract

Chatbots are becoming increasingly popular. However, little is known about the way chatbots should be designed. Whether the users should be informed or not beforehand that they are chatting with a chatbot is an open question. Similarly, questions related to the level of ‘humanistic’ tonality in interactions with chatbots are unanswered. In this paper, we present a controlled experiment in which 40 individuals participated. Their user experience was compared depending on whether they knew that they were chatting with chatbots before or afterwards. Two different versions of chatbots were tested (one with mechanical tonality and one with humanistic tonality). Our findings illustrate that: i) it is vital that the users enter the conversation knowing that they are chatting with a chatbot; ii) tonality matters, the way chatbots are designed is pivotal for the user experience, the ‘human-like’ and friendly chatbot was preferred over the mechanical, task-oriented chatbot.

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More information

Published date: 2023
Additional Information: Publisher Copyright: © 2023 29th Annual Americas Conference on Information Systems, AMCIS 2023. All rights reserved.
Venue - Dates: 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023, , Panama City, Panama, 2023-08-10 - 2023-08-12
Keywords: Affective Computing, Artificial Intelligence, Chatbots, ChatGPT, Conversational Agents, Conversational AI, Human-Chatbot interaction, Information Systems, User Experience

Identifiers

Local EPrints ID: 508387
URI: http://eprints.soton.ac.uk/id/eprint/508387
PURE UUID: bfe767a9-7813-4f49-b52f-9c8932d70588
ORCID for María Óskarsdóttir: ORCID iD orcid.org/0000-0001-5095-5356

Catalogue record

Date deposited: 20 Jan 2026 17:50
Last modified: 21 Jan 2026 03:11

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Contributors

Author: Anna Sigridur Islind
Author: María Óskarsdóttir ORCID iD
Author: Svanhvít Ásta Smith
Author: Erna Sif Arnardóttir

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