Investigating Narratives of Social Intention in Restaurant Interactions
Researching scenarios for Intention Prediction
A. Sak (TU Delft - Electrical Engineering, Mathematics and Computer Science)
H.S. Hung – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
R. Guerra Marroquim – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Inferring social intention in everyday settings is challenging because the same observable behavior can support multiple plausible interpretations. This issue is pronounced in restaurants, where roles and norms structure interaction but do not uniquely determine what is socially “meant.” The research question addressed is: How can scenarios in a restaurant setting be created that allow investigation into how humans and intelligent systems construct multiple plausible narratives of social intention?A literature-grounded scenario design method is presented that separates observable cues from inferred psychological meanings and situation classes, and frames interactions using external scripts (norms, roles, scenes) and internal script variants (observer-dependent interpretations). Two short scenarios with three controlled variations each are specified to modulate openendedness through cue completeness, norm clarity, and perspective. It is concluded that openendedness can be designed systematically by controlling observability and introducing norm tensions and perspective differences that keep multiple narratives simultaneously plausible.