Descripción del proyecto
Sentar las bases del futuro diseño de interfaces de usuario
A pesar del rápido crecimiento de la industria informática y de la omnipresente digitalización en diversos sectores de la vida moderna, el ámbito de la interacción entre personas y ordenadores, así como las interfaces de usuario (IU), sigue careciendo de soluciones integrales. En respuesta a esta necesidad, el equipo del proyecto COMPUTED, financiado con fondos europeos, pretende sentar las bases de avances sustanciales en el diseño de las IU. Desarrollará un sistema pionero capaz de analizar y optimizar de forma automática los diseños de las IU, proporcionando a los desarrolladores información valiosa para las posibles mejoras. Este sistema destacará por su método revolucionario, que aprovecha el respaldo algorítmico junto con análisis formales de los problemas de decisión y un innovador paradigma de optimización de las IU. Gracias a estas iniciativas, en COMPUTED se impulsarán avances significativos en el ámbito de la interacción entre personas y ordenadores, mejorando en última instancia la experiencia del usuario en el ámbito digital.
Objetivo
PROBLEM: Despite extensive research on human-computer interaction (HCI), no method exists that guarantees the optimal or even a provably good user interface (UI) design. The prevailing approach relies on heuristics and iteration, which can be costly and even ineffective, because UI design often involves combinatorially hard problems with immense design spaces, multiple objectives and constraints, and complex user behavior.
OBJECTIVES: COMPUTED establishes the foundations for optimizing UI designs. A design can be automatically optimized to given objectives and constraints by using combinatorial optimization methods that deploy predictive models of user behavior as objective functions. Although previous work has shown some improvements to usability, the scope has been restricted to keyboards and widgets. COMPUTED researches methods that can vastly expand the scope of optimizable problems. First, algorithmic support is developed for acquiring objective functions that cover the main human factors in a given HCI task. Second, formal analysis of decision problems in UI design allows combating a broader range of design tasks with efficient and appropriate optimization methods. Third, a novel interactive UI optimization paradigm for UI designers promotes fast convergence to good results even in the face of uncertainty and incomplete knowledge.
IMPACT: Combinatorial UI optimization offers a strong complement to the prevailing design approaches. Because the structured search process has a high chance of finding good solutions, optimization could improve the quality of interfaces used in everyday life. Optimization can also increase cost-efficiency, because reference to optimality can eliminate fruitless iteration. Moreover, because no preknowledge of UI design is required, even novices will be able to design great UIs. Even in “messy,” less well-defined problems, it may support designers by allowing them to delegate the solving of well-known sub-problems.
Ámbito científico
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesartificial intelligenceheuristic programming
- natural sciencesmathematicsapplied mathematicsmathematical model
Programa(s)
Régimen de financiación
ERC-STG - Starting GrantInstitución de acogida
02150 Espoo
Finlandia