Overview

Experimental application built to measure the impact of visible attributes on simulated hiring decisions. It isolates several factors (gender, height, etc) while logging behavioral indicators such as decision time.

The participant moves in a minimalist 3D scene. Thirty avatars are spawned, each showing two numeric indicators (e.g., donation, risk, etc) in a floating panel. These values come from a modifiable spreadsheet and can be adapted to any protocol.

The task is to select 10 profiles. A selected avatar waves and can be deselected before validation. A counter, control hints, and a final confirm button guide the user. Each selection stores the elapsed time since trial start.

Details

The app controls several visual factors : gender (M/W), style (casual/suit),height (small/average/tall), skin color (black/white). Interaction is simple and reversible with a quota of 10 selections and explicit validation, with clear feedback via waving and world-space panels.

Exported data are Excel-ready: session DateTime, SelectionTime , Gender, Size, etc, plus Data1 and Data2 coming from a customizable spreadsheet. Customization covers the number of avatars, attribute distribution and positions, the two info fields, quotas, stop rules, UI wording, etc.