Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service

Abstract

Based on the emerging concept of “Hybrid Intelligence,” this paper aims to explore a new model of human–computer interaction, and deeply research on its development and application of Intelligent Service in the big data environment. It systematically explores the related academic concepts of hybrid intelligence, and establishes its architecture model. The development of hybrid intelligence is faced with cognitive differences, system fragmentation, human–machine digital divide, and other issues. Strengthening the interaction between cognition and perception can be the key to break through the bottleneck. The intelligent service system based on the hybrid intelligent architecture takes knowledge fusion as the core, and “cloud intelligent brain” is making it possible for the human–computer symbiosis driven by hybrid intelligence. The proposed advanced human–computer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of human–machine hybrid intelligence, and provides a new landing scheme for intelligent services based on complex scenes in the big data environment.

Design of Hotel Human Interaction System Based on Deep Learning

“…In order to study speech recognition, the researchers in [19] offer an automatic speech recognition (ASR) system, which is, in fact, founded on a few single and/or (potentially) multiple modalities, including audio and electroencephalogram (EEG) inputs. e authors of [20] intend to investigate a novel paradigm of human-computer interaction and conduct an in-depth study on the creation and implementation of intelligent services in the big data environment. is is based on the growing idea of "Hybrid Intelligence.…”