Work

Cognitive-behavioral Responses to Kitchen Cabinet Interfaces: Implications for Sensor-integrated Materials and Smart Usability Design

Year: 2026

Type: article

Abstract: Product usability is linked to how design elements align with human cognitive processes.We investigated the cognitive-behavioral responses to kitchen cabinet interfaces by integrating Norman's three levels of design-instinct, behavior, and reflection-with modern material and sensor technologies.Through three psychophysical experiments using E-Prime software, we examined the effects of cabinet type, handle form, handle position, signifiers, and physical gaps on user perception.The results from Experiment 1 revealed that cabinet type and handle position significantly affect the instinctive classification of units as either drawers or doors.The results of Experiment 2 demonstrated that handle form and signifiers are critical behavioral determinants for perceived opening mechanisms (pull vs press).Furthermore, handle form and signifiers significantly impacted perception latency, with specially shaped handles and physical gaps increasing cognitive load and uncertainty.Reflective usability assessments in Experiment 3 confirmed that alignment with cognitive habits, such as vertical orientations for doors, optimizes accuracy and response speed.Such results underscore the necessity of incorporating smart interfaces, such as piezoelectric sensors and graphene-based touch-sensitive coatings, to provide active feedback and visible affordances.The results provide a reference for the development of a framework for integrating sensor technologies and functional materials, such as piezoelectric thin films, graphene coatings, and organic polymers, into intelligent furniture design to harmonize advanced materials with human behavioral habits to enhance usability.

Source: Sensors and Materials

DOI: 10.18494/sam6167

Authors: Xin Deng, Boming Xu, Ce Guo, Tiantian Yang

Institutions: Central South University of Forestry and Technology, Nanjing Forestry University

Language: English

Topic: Interactive and Immersive Displays

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $748

OpenAlex ID: W7131896912