%0 Conference Paper %1 zierau2020towards %A Zierau, Naim %A Hausch, Michael %A Bruhin, Olivia %A Söllner, Matthias %B International Conference on Information Systems (ICIS) %D 2020 %K itegpub pub_msö pub_wise-kassel %T Towards Developing Trust-Supporting Design Features for AI-Based Chatbots in Customer Service %X 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 widespread 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.

@inproceedings{zierau2020towards, 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 widespread 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.}, added-at = {2021-02-10T11:23:35.000+0100}, author = {Zierau, Naim and Hausch, Michael and Bruhin, Olivia and Söllner, Matthias}, biburl = {https://www.bibsonomy.org/bibtex/236f0f7d77c06bfb26d68ce2d9d52db72/wise-kassel}, booktitle = {International Conference on Information Systems (ICIS)}, interhash = {81441839e98583c4746693e07e64d7e6}, intrahash = {36f0f7d77c06bfb26d68ce2d9d52db72}, keywords = {itegpub pub_msö pub_wise-kassel}, timestamp = {2021-02-10T11:23:35.000+0100}, title = {Towards Developing Trust-Supporting Design Features for AI-Based Chatbots in Customer Service}, year = 2020 }