TY  - JOUR
AB  - The study of human-human communication and the development of computational models for human-agent communication have diverged significantly throughout the last decade. Yet, despite frequently made claims of “super-human performance” in, e.g., speech recognition or image processing, so far, no system is able to lead a half-decent coherent conversation with a human. In this paper, we argue that we must start to re-consider the hallmarks of cooperative communication and the core capabilities that we have developed for it, and which conversational agents need to be equipped with: incremental joint co-construction and mentalizing. We base our argument on a vast body of work on human-human communication and its psychological processes that we reason to be relevant and necessary to take into account when modeling human-agent communication. We contrast those with current conceptualizations of human-agent interaction and formulate suggestions for the development of future systems.
DA  - 2021
DO  - 10.3389/fpsyg.2021.580955
KW  - human-agent interaction
KW  - conversational agents
KW  - machine learning
KW  - artificial intelligence
KW  - communication
KW  - cooperation
KW  - modeling
LA  - eng
M2  - 1
PY  - 2021
SP  - 1-15
T2  - Frontiers in Psychology: Human-Media Interaction
TI  - Revisiting Human-Agent Communication: The Importance of Joint Co-construction and Understanding Mental States
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29534178
Y2  - 2024-11-22T01:04:55
ER  -