Frequently asked questions

IDA (Interior Design Assistant) is a platform that combines AI-assisted interior design with environmental psychology methods. Based on a photo of your space, your aesthetic preference profile, and — in full mode — personality traits, the system generates personalized interior concepts: visualizations you can compare, refine, and iterate on. IDA does not impose a single “trendy” style — it helps uncover an aesthetic direction aligned with how you want to live and feel in your space.

Some features are available without creating an account — you can start in quick mode and see your first interior proposals. Registration and email verification are required if you want the full user profile, to save progress across sessions, use the launch offer (Basic plan, credit package), or access account-based features. Registration is straightforward and primarily ensures data security and continuity as you work on your interior project.

Quick mode (about 3–5 minutes) is designed for people who want to see a design direction fast. It includes a space photo, basic aesthetic preferences, and initial AI generations. Full mode builds a deeper profile: including the Big Five personality test (IPIP-NEO-120), inspiration analysis, explicit and behavioral preference measures, and a more precise synthesis of generation parameters. The result of full mode is a closer match between interior concepts and your psycho-aesthetic profile, through a longer and more engaging process.

No. IDA produces visual concepts and inspirational material during the early design direction phase — it supports decisions rather than replacing professional design services. The system does not produce construction documentation, and it does not account for building codes, installations, structural requirements, or formal approvals. We recommend treating IDA outputs as a starting point for dialogue with an interior designer or architect, or as support for defining aesthetics and spatial function before later implementation stages.

In full mode, IDA uses the validated Big Five questionnaire IPIP-NEO-120, measuring five major personality dimensions together with finer facets. Results are combined with aesthetic preference data — both declared (e.g. semantic differential scales, palette ranking) and behavioral (e.g. rapid visual choices, response times). From this, a user profile is built and translated into AI generation parameters: including color palette, saturation, lighting, materials, visual complexity, and overall interior mood. The goal is not “diagnosis”, but more coherent concept personalization within an environmental psychology framework.

IDA is currently available through early access. A launch offer for early users includes the Basic plan ($0) together with a credit package for generations. Paid subscription plans with larger credit pools are also available — details, limits, and current prices are published at pricing page. As the product is still evolving, pricing may be updated; the version shown on the plans page at the time of purchase always applies.

Credits are the platform’s internal billing unit, reflecting the cost of cloud-based AI operations. They are consumed mainly when generating new interior visualizations, modifying existing proposals (e.g. color, lighting, or detail changes), and selected image-enhancement operations. The number of credits charged per action depends on the operation type and is described in the pricing page. Unused credits remain on your account for the period defined in the terms and plan conditions — we recommend checking your balance regularly in the user dashboard.

Yes — a photograph of your actual space is the preferred starting point, as it preserves room proportions, window and door layout, and architectural context. If you do not yet have your own photo, you can begin from an example interior to explore how the system works. For best results, we recommend a daylight shot with as wide a frame as possible covering the full room. Uploaded photographs are processed according to the rules described in privacy policy.

IDA serves a dual role: it is a working digital product and a research platform within doctoral work at the Academy of Art in Szczecin. The project follows Research Through Design methodology — instead of an artificial laboratory setting, research data emerges from natural use of the tool. This approach makes it possible to study how aesthetic preferences, personality traits, and generative AI jointly shape interior concept personalization — while still delivering genuine design value to the user.

Depending on the mode selected and consents given, the platform may process including: account data (email address, user identifier), questionnaire and psychometric test responses, aesthetic profile results, interface interaction metadata (e.g. response times, choice sequences), uploaded interior and inspiration photos, AI generation parameters and outcomes, and technical data required for service operation and security. The scope of processing is always tied to a specific feature and the legal basis stated during onboarding. A full list of data categories, purposes, and recipients is available in privacy policy.

Participation in the research component of the platform requires informed, voluntary consent, collected during onboarding before the full process begins. Consent is presented with clear information about the study purpose, data scope, and your rights. Without research consent, your data is not used for scientific analysis, although core service features may remain available within the scope defined by the terms and privacy policy. You may withdraw consent at any time by contacting the data controller.

Data used for research purposes is processed with measures that limit identifiability — including a participant identifier (hash) rather than open linkage to identity in analytical datasets. We do not publish users’ personal data and we do not sell it to third parties. Research findings are reported in aggregate or de-identified form, in line with research ethics and GDPR. Details on pseudonymization and retention periods are described in privacy policy.

The data controller for personal data in the IDA service is Jakub Palka, conducting the project as part of doctoral work at the Academy of Art in Szczecin. For matters concerning privacy, exercise of user rights (access, rectification, erasure, restriction of processing), and research consent, you can contact jakub.palka@akademiasztuki.eu or use contact form. We respond to requests within a reasonable timeframe, in accordance with applicable law.

Yes. You have the right to request erasure of personal data, unless another legal basis requires further retention (e.g. statutory obligations or the need to archive research data in de-identified form). To submit a request, contact the controller using the email address linked to your account. We review requests individually, in line with GDPR and the privacy policy, and inform you about the scope and consequences of deletion.

In preference psychology, a distinction is made between explicit declarations and behavioral (implicit) indicators. In IDA, explicit preferences include questionnaire responses, semantic differential scales (e.g. warm–cool, bright–dark), and rankings of palettes and materials. Implicit preferences are measured through interface behavior: rapid visual choices in swipe-style tasks, response time, image viewing duration, and hesitation patterns before a decision. Comparing both layers makes it possible to study how declared taste aligns with actual choices — one of the doctoral project’s core questions in AI-assisted interior personalization.