AI-Based Digital Assistants
By Alexander Maedche, Christine Legner, Alexander Benlian, Benedikt Berger, Henner Gimpel, Thomas Hess, Oliver Hinz, Stefan Morana, Matthias Söllner. Business & Information Systems Engineering, 2019
320 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/1599cca7f50f9bf84982c54a9e197ff51ec9a166
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Information Systems
Citations in the corpus
- AI-based chatbots in customer service and their effects on user compliance (2020, background): “…second wave of artificial intelligence ” (Launchbury 2018) has renewed the interest and strengthened the commitment to this technology, because it has paved the way for systems that are capable of more human-like interactions (e.g., Gnewuch et al. 2017; Maedche et al. 2019; Pfeuffer et al. 2019b).”
- How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents (2020, background): “Intelligent agents exist in different forms of digital agents such as personal digital agents, conversational agents, embodied conversational agents, chatbots, etc. (see Appendix 1, Table 3; see Sarikaya, 2017; Maedche et al., 2019; McTear, 2016; von Wolff et al., 2019; Nunamaker et al., 2011).”
- Generative AI (2023, unknown): “…the BISE community can add its strength by looking at design aspects through a socio-technical lens, involving individuals, teams, organizations, and societal groups in design activities, and thereby driving the field forward with new insights from a human–machine perspective (Maedche et al. 2019).”