학술논문

User vs. System Conceptual Models of Productivity and Accountability in Human-Machine Interaction
Document Type
Conference
Source
2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS) Human-Machine Systems (ICHMS), 2022 IEEE 3rd International Conference on. :1-3 Nov, 2022
Subject
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Productivity
Human computer interaction
Technology acceptance model
Cognitive science
Usability
Man-machine systems
productivity
accountability
mental models
usability
usefulness
Language
Abstract
In human-machine interaction (HMI), productivity is based on the performance of the system or user. Similarly, different mental models may exist when assessing accountability for productivity between a human or system. The present research examines how differences between user and system-based mental models of productivity and accountability affect perceived usability, usefulness, and intention to use technology within the Technology Acceptance Model framework. Differential models of productivity and accountability showed differences in the relationship between usefulness, usability, and intention to use an intelligent productivity application. This research demonstrates that differing mental models of productivity and accountability within HMI teams may impact adoption of technology.