|
Work item:
|
F.FLDH
|
|
Subject/title:
|
Framework of human-machine interaction for developing intelligent digital humans
|
|
Status:
|
Under study
|
|
Approval process:
|
AAP
|
|
Type of work item:
|
Recommendation
|
|
Version:
|
New
|
|
Equivalent number:
|
-
|
|
Timing:
|
2026 (Medium priority)
|
|
Liaison:
|
-
|
|
Supporting members:
|
ETRI, Republic of Korea
|
|
Summary:
|
Humans continuously evolve through interactions with others. Similarly, digital humans can also evolve over time through interactions with people. If digital humans can develop through such interactions, they could more accurately understand the emotions, intentions of the human users they converse with, and the context of their environment, leading to more optimized interactions and, consequently, higher user satisfaction.
This Recommendation introduces the framework for learnable digital humans through human machine interaction, proposing its composition including data collection, and data processing, and learning. This Recommendation focuses on aspects of human machine interaction, related to guiding human users for high-quality data and interactive learning.
|
|
Comment:
|
-
|
|
Reference(s):
|
|
|
Historic references:
|
|
Contact(s):
|
|
| ITU-T A.5 justification(s): |
|
|
|
|
First registration in the WP:
2024-06-14 12:24:31
|
|
Last update:
2024-06-14 12:44:48
|
