Technical system for determining individual adaptation profiles of people when interacting with digital environments
The system objectively determines individual adaptation profiles by integrating EEG-based sensors and structured tasks to analyze physiological data, addressing the subjectivity and unreliability of existing methods.
Patent Information
- Application Number
- DE202026000463
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-01-31
- Publication Date
- 2026-05-13
- Estimated Expiration
- 2036-01-31
AI Technical Summary
Existing methods for determining individual adaptation profiles in digital environments are subjective and lack objectivity and reliability, and existing physiological measurement systems are not designed for systematic profiling during interaction with digital systems.
A technical system comprising a sensor system, digital environment, processing unit, and classification module that records and analyzes physiological data to objectively determine individual adaptation profiles using EEG-based measurements and structured tasks.
Enables objective and standardized determination of individual adaptation profiles by combining physiological data with structured tasks, enhancing precision and flexibility.
Abstract
Description
Technical field
[0001] The invention relates to a technical system for determining individual adaptation profiles of persons when interacting with digital environments based on physiological or psychophysiological measurement data.
[0002] The system belongs to the technical field of recording, processing and analyzing physiological signals to determine the condition of users of digital systems. State of the art
[0003] With the increasing digitization of work, learning and communication environments, there is a growing need to objectively record individual differences in how people adapt to digital environments.
[0004] Known approaches are predominantly based on subjective self-reports, questionnaires, or isolated performance parameters. However, these methods do not allow for a sufficiently reliable and objective determination of individual adaptation profiles during the actual use of digital systems.
[0005] Furthermore, systems are known that record physiological measurement data, particularly EEG signals, to determine the condition of individuals. However, these systems are predominantly used for medical diagnostics or isolated measurement purposes and are not designed for the systematic determination of individual adaptation profiles when interacting with digital environments. Object of the invention
[0006] The object of the invention is to provide a technical system with which individual adaptation profiles of persons when using digital environments can be determined objectively, reproducibly and using physiological measurement data. Description of the invention
[0007] The task is solved by a technical system in accordance with the protection claims.
[0008] The system according to the invention comprises in particular: - a sensor system for recording physiological or psychophysiological measurement data of a person during the use of a digital environment; - a digital environment with a multitude of structured tasks designed to trigger different cognitive and emotional states; - a processing unit for analyzing the recorded measurement data; - an allocation of the recorded measurement data to individual tasks or task sections; - an evaluation module for determining the person's state parameters, in particular attention, cognitive load and relaxation state; - as well as a classification module for the automated assignment of the determined state parameters to an individual adaptation profile based on predefined classification rules.
[0009] The sensor system may include, in particular, an EEG-based measuring device for recording brain activity, for example, a portable EEG system. Likewise, other functionally equivalent sensor systems suitable for recording comparable physiological signals may be used.
[0010] The digital tasks can be designed as a structured sequence of different forms of interaction, in particular cognitive tasks, decision-making tasks or reactive tasks, with each task specifically addressing certain states of the person.
[0011] The processing of the measurement data can be software-supported and carried out both in real time and retrospectively.
[0012] In one embodiment, additional subjective information about the person's condition can be recorded and evaluated in combination with the physiological measurement data. Advantages of the invention
[0013] The system according to the invention enables an objective and standardized determination of individual adaptation profiles when using digital environments.
[0014] By combining physiological measurement data with a structured task environment and software-supported analysis, individual reaction patterns of users can be recorded more precisely than with purely subjective methods.
[0015] The system is flexible and can be used independently of specific digital applications. Example of implementation
[0016] In one embodiment, the system comprises a portable sensor system for the continuous acquisition of physiological measurement data during the use of a digital application.
[0017] The person completes a defined sequence of structured digital tasks. The measurement data recorded during each task is assigned to the corresponding task sections and evaluated.
[0018] Based on this classification, state parameters such as attention, cognitive load, and relaxation level are determined. These are then assigned to an individual adaptation profile using predefined classification rules. Commercial applicability
[0019] The system is commercially applicable, particularly in the areas of digital training, work-related adaptation analysis, educational applications, user-centered system development, and research and development in the field of digital technologies.
Claims
[1] Technical system for determining individual adaptation profiles of persons when interacting with digital environments, comprising - a sensor system for recording physiological or psychophysiological measurement data of a person during the use of a digital environment, - a digital environment with a multitude of structured tasks designed to trigger specific cognitive and emotional states, - a processing unit for analyzing the recorded measurement data in relation to the tasks performed, - an evaluation module for determining the person's state parameters, in particular attention, cognitive load and relaxation state, - as well as a classification module for the automated assignment of the determined state parameters to an individual adaptation profile based on predefined classification rules. [2] System according to claim 1, characterized bythat the structured tasks are performed as a combination of different forms of digital interaction, in particular cognitive tasks, decision-making tasks and reactive tasks. [3] System according to any one of the preceding claims, characterized by that the processing unit performs an assignment of the physiological measurement data to individual task sections. [4] System according to any one of the preceding claims, characterized by that the classification module performs a rule-based or algorithmic determination of the adaptation profile. [5] System according to any one of the preceding claims, characterized by that the system includes a software-based evaluation unit that is designed to perform automated profiling. [6] System according to any one of the preceding claims, characterized by, that additionally subjective information about the person's condition is recorded and evaluated in combination with the physiological measurement data. [7] System according to any one of the preceding claims, characterized by that the sensor system includes an EEG-based measuring device or a functionally equivalent physiological measuring system. [8] System according to any one of the preceding claims, characterized by that the adaptation profile is used to adapt digital training, work or learning environments.