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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Aligning actions are communicative strategies individuals employ to maintain social harmony and preserve personal identity in the face of potential disruptions to social norms. These actions are particularly important in managing social impressions when one's behavior might be seen as inappropriate, incompetent, or morally questionable.Types of Aligning ActionsThe three principal types of aligning actions are disclaimers, accounts, and apologies.DisclaimersDisclaimers are preventive; they are...
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Various factors, including the type of relationship, gender, and duration of the relationship, influence the perception of desirable characteristics in others. While certain traits such as trustworthiness, cooperativeness, agreeableness, and extraversion are universally valued across all relationships, other characteristics are context-dependent and gain prominence based on specific relational dynamics.Universal and Context-Dependent TraitsTrustworthiness and cooperativeness are fundamental...
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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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Colaboración Humano-IA: compensaciones entre rendimiento y preferencias

Lukas W Mayer1, Sheer Karny2, Jackie Ayoub3

  • 1Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, USA. lwmayer@uci.edu.

Cognitive research: principles and implications
|February 27, 2026
PubMed
Resumen

Las personas prefieren agentes de inteligencia artificial (IA) colaborativos que consideran las acciones humanas sobre aquellos que se centran únicamente en el rendimiento. El diseño de IA centrado en el ser humano mejora la simpatía sin sacrificar la eficacia, promoviendo contribuciones humanas significativas.

Palabras clave:
modelado bayesiano de preferenciastoma de decisiones dinámicadiseño de algoritmos centrado en el ser humanocolaboración humano-IA

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Área de la Ciencia:

  • Interacción Humano-Computadora
  • Inteligencia Artificial
  • Ciencias Cognitivas

Sus antecedentes:

  • La integración de la entrada humana en los sistemas de inteligencia artificial (IA) colaborativa presenta importantes desafíos de diseño.
  • La comprensión de las preferencias humanas es crucial para desarrollar una colaboración humano-IA eficaz.

Objetivo del estudio:

  • Investigar sistemáticamente las preferencias humanas por agentes de IA colaborativos con diversas estrategias de adaptación.
  • Identificar los factores que influyen en las elecciones humanas en la colaboración humano-IA.

Principales métodos:

  • Se desarrolló una tarea para evaluar cinco agentes de IA colaborativos con distintas estrategias de adaptación.
  • Los participantes interactuaron con los agentes, evaluaron sus rasgos y seleccionaron los agentes preferidos.
  • Se empleó un modelo bayesiano para analizar las estrategias de los agentes, el rendimiento del equipo, los rasgos percibidos de la IA y las preferencias humanas.

Principales resultados:

  • Los agentes de IA colaborativos que tienen en cuenta las acciones humanas fueron preferidos sobre los agentes que maximizan el rendimiento.
  • El diseño de IA centrado en el ser humano mejoró la simpatía del colaborador de IA sin comprometer el rendimiento del equipo.
  • La aversión a la desigualdad se identificó como un factor clave, y los humanos prefirieron agentes que permitieran contribuciones significativas.

Conclusiones:

  • Los principios de diseño centrado en el ser humano son vitales para desarrollar colaboradores de IA simpáticos y eficaces.
  • Es esencial equilibrar las preferencias subjetivas con las métricas de rendimiento objetivas para una colaboración humano-IA exitosa.
  • Abordar los deseos humanos de contribución significativa puede mejorar la aceptación y la utilidad de los sistemas de IA.