Method and system for customized hair-coloring
Systems and methods for computing a hair-coloring composition (HCC) or for dispensing ingredients for the HCC are disclosed herein. In some embodiments, the system comprises a hair-treatment objective-prioritization user interface (HTOP UI) for receiving multi-objective relative-importance data describing a relative importance of different hair-treatment objectives (e.g. immediate post-treatment accuracy versus auxiliary goals, or one auxiliary goal versus another) for a potential hair-coloring treatment. In some embodiments, a hair-coloring-composition (HCC) prediction-engine is responsive to input received via the HTOP UI to compute, from the initial hair-state data and from the target color-state, a customized hair-coloring composition predicted to transform a color state of the user's hair from the initial color state to the target color state. This may be performed according to the multi-objective relative-importance data.
1. A system for preparing a customized hair-coloring composition by dispensing material, the system comprising:
a hair-treatment objective-prioritization user interface (HTOP UI) for receiving multi-objective relative-importance data describing a relative importance of different hair-treatment objectives for a potential hair-coloring treatment;
a hair-state circuit configured to store a target color state for the potential hair-coloring treatment and initial hair-state data describing at least an initial color-state of the user's hair before being subjected to the potential hair-coloring treatment; and
a hair-coloring-composition (HCC) prediction-engine responsive to input received via the HTOP UI, the hair-coloring-composition prediction-engine configured to compute, from the initial hair-state data and from the target color-state, a customized hair-coloring composition predicted to transform a color state of the user's hair from the initial color state to the target color state;
wherein:
the HTOP UI is configured so that the multi-objective relative-importance data describes a relative importance of (A) reaching the target color-state; and (B) achieving at least one auxiliary objective(s) or achieving a user-specified weighted combination of auxiliary objective(s);
in response to receipt, via the HTOP UI, of multi-objective relative-importance data that prioritizes immediate-post-treatment color-state accuracy at the expense of achieving the auxiliary objective, the HCC prediction-engine computes a hair-coloring composition predicted to more accurately transform the user's hair to the target color state at the expense of achieving the auxiliary objective; and
in response to receipt, via the HTOP UI, of multi-objective relative-importance data that prioritizes achieving the auxiliary objective at the expense of predicted immediate-post-treatment color-state accuracy, the HCC prediction-engine computes a hair-coloring composition that achieves the auxiliary objective at the expense of immediate-post-treatment color-state accuracy.
2. The system of claim 1 , wherein at least one of the auxiliary objectives is post-treatment color-retaining wash-robustness.
3. The system of claim 1 , wherein at least one of the auxiliary objectives is achieving uniform color-state between initial hair-shafts of different colors.
4. The system of claim 1 , wherein at least one of the auxiliary objectives is minimizing a post-treatment damage state and/or predicting that the post-treatment damage state does not exceed a threshold.
5. The system of claim 1 , wherein at least one of the auxiliary objectives is minimizing a treatment complexity.
6. The system of claim 1 wherein the target color state and/or the initial hair-state data comprises at least one of spectral data and colorimetric data.
7. The system of claim 6 wherein the spectral data comprises at least one of a reflection spectrum, a transmission spectrum and an absorption spectrum.
8. A system for preparing a customized hair-coloring composition by dispensing material, the system comprising:
a hair-treatment objective-prioritization user interface (HTOP UI) for receiving multi-objective relative-importance data describing a relative importance of different hair-treatment objectives for a potential hair-coloring treatment;
a hair-state circuit configured to store a target color state for the potential hair-coloring treatment and initial hair-state data describing at least an initial color-state of the user's hair before being subjected to the potential hair-coloring treatment; and
a hair-coloring-composition (HCC) prediction-engine responsive to input received via the HTOP UI, the hair-coloring-composition prediction-engine configured to compute, from the initial hair-state data and from the target color-state, a customized hair-coloring composition predicted to transform a color state of the user's hair from the initial color state to the target color state;
wherein:
the HTOP UI is configured so that the multi-objective relative-importance data describes a relative importance of (A) reaching the target color-state; and (B) achieving at least one auxiliary objective(s) or achieving a user-specified weighted combination of auxiliary objective(s);
in response to receipt, via the HTOP UI, of multi-objective relative-importance data that prioritizes the first auxiliary objective the expense of the second auxiliary objective, the hair-coloring-composition (HCC) prediction engine computes a hair-coloring composition that is predicted to achieve the first auxiliary objective at the expense of the second auxiliary objective; and
in response to receipt, via the HTOP UI, of multi-objective relative-importance data that prioritizes the second auxiliary objective the expense of the first auxiliary objective, the hair-coloring-composition (HCC) prediction engine computes a hair-coloring composition that is predicted to achieve the second auxiliary objective at the expense of the first auxiliary objective.