| Item Type |
Conference or Workshop Item
(Paper)
|
| Abstract |
Chatbots are predicted to play a key role in customer service based on recent advances in the area of Artificial Intelligence (AI). However, a lack of user trust impedes the wide- spread adaption of AI-based chatbots. Still, there is a lack of systematically derived design knowledge concerning user trust in those agents. In this short paper, we report on the first steps of our design science research project on which design principles are relevant for building trust in chatbots. Based on trust literature and user interviews, we propose preliminary requirements and design principles for trust-enhancing design features for chatbots in customer service. Furthermore, we present a first instantiation of those principles. These insights will support researchers and practitioners to better understand how user trust in chatbots can be systematically built to increase adoption and usage. |
| Authors |
Zierau, Naim; Hausch, Michael; Bruhin, Olivia & Söllner, Matthias |
| Language |
English |
| Keywords |
Trust, Chatbot, Customer Service, Trust-Supporting Design, Design Science |
| Subjects |
information management |
| HSG Classification |
contribution to scientific community |
| HSG Profile Area |
SoM - Business Innovation |
| Event Title |
International Conference on Information Systems (ICIS) |
| Event Location |
Hyderabad, India |
| Event Dates |
13.12.2020-16.12.2020 |
| Depositing User |
Naim Zierau
|
| Date Deposited |
26 Nov 2020 09:10 |
| Last Modified |
20 Jul 2022 17:43 |
| URI: |
https://www.alexandria.unisg.ch/publications/261540 |
Towards Developing Trust-Supporting Design Features for AI-Based Chatbots in Customer Service
![[img]](http://www.alexandria.unisg.ch/style/images/fileicons/oa_orange.png)
