A new research paper introduces the Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) model and the Net Human-Agent Score (NHAS) to address how Agentic Artificial Intelligence impacts traditional customer loyalty. The DVM-HALL model formalizes brand choice based on human emotional equity, machine utility, trust, authority, and verifiable execution, particularly within decentralized finance settings. The NHAS metric is proposed as an auditable, risk-weighted score to measure human-agent alignment using various feedback and execution data. AI
IMPACT This research provides a theoretical framework for brands to understand and adapt to the shift towards AI-driven customer interactions and purchasing decisions.
RANK_REASON Research paper published on arXiv detailing a new model and scoring system.
- Agentic Artificial Intelligence
- alphaXiv
- CatalyzeX
- DagsHub
- decentralized finance
- DVM-HALL
- Gotit.pub
- Hugging Face
- Net Human-Agent Score
- Peplluis Esteva R
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