Human Aspects in Adaptive and Personalized Interactive Environments
26-29 June 2023
Limassol, Cyprus
HAAPIE 2023 Event
Interactive Session Outcomes
Research outcomes of exchange on current challenges in relation to Recent AI Breakthroughs and their Influence on Human Aspects in Personalization
User Studies: A challenging question extends on how to deal with user studies: "Replace users with AI"?
- Research on user modeling requires user studies and these are notoriously hard for a variety of reasons (see UMAP proceedings and practices during the years)
Large Language Models (LLMs): There are concerns and opportunities of LLMs in "human-in-the-loop" research, that relate to
- Generating synthetic data that do not reflect real users
- Data labeling with the support of LLMs maybe be proved untransparent and untruthful
- Crowdsourced users using LLMs to fill-in surveys
Redefining the User: In this new reality, what is a user?
- Are we referring to an "augmented user" = human + LLM
- A user should learn 21st century skills: critical thinking, posing questions (prompting)
Potential: Advantages or opportunities may relate to
- No need to explain to a LLM the domain knowledge
- Preference elicitation can be more efficient
- Encouragement to define/ frame better the problem