A naukri.com initiative
UX Design
1M
356
Image Credit: UX Design
Does AI dream of synthetic experiences?
- Anthropomorphism helps build connections with AI, but AI falls short in real conversation contexts.
- AI, particularly Large Language Models (LLMs), can build trust and connection with users through anthropomorphism.
- LLMs like ChatGPT use probabilistic algorithms to generate responses, but may exhibit biases and lack empathy.
- Synthetic users, generated by AI, aim to mimic real users for research purposes, but can be biased and lack depth.
- Methods like RAG help LLMs retrieve up-to-date information, but biases from internet data remain a challenge.
- While synthetic users may offer some insights, they may lack genuine user feedback and emotional understanding.
- AI can assist in learning, research aid, and synthesizing data, but may fall short in innovation and real user problem identification.
- Synthetic users may not be suitable for directional research or understanding underserved user groups without comprehensive data.
- AI, like synthetic users, serves as a tool and companion in research and understanding, but cannot replace genuine human interaction.
- AI's role in aiding research and evolving technology presents potential, but its limitations in understanding human nuances and emotions persist.
Read Full Article
21 Likes
For uninterrupted reading, download the app