Examining the effects of power status of an explainable artificial intelligence system on users' perceptions.
Taehyun HaYoung June SahYuri ParkSangwon LeePublished in: Behav. Inf. Technol. (2022)
Keyphrases
- artificial intelligence
- machine learning
- user perceptions
- social media
- expert systems
- user centric
- power consumption
- software engineering
- end users
- recommender systems
- neural network
- computer science
- multiple users
- digital libraries
- user requirements
- user feedback
- user interface
- user profiles
- user interaction
- intelligent systems
- user experience
- engineering design
- information access
- query formulation
- positive feedback
- novice users
- peer to peer