ATM UX Evaluation Using Emotion Detection and Interface Adaptation
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Solution Overview
Problem
ATMs often present design challenges for users outside the nominal height range, with fixed aspects like display location, button size, and language that can make operation difficult or uncomfortable, and existing personalized user experience systems lack effective evaluation methods.
Innovation Solution
A system and method for determining user experience effectiveness by analyzing recorded user interactions, including emotion states and environmental data, to update user profiles and adjust interfaces based on personalized preferences, using a server communicatively coupled to ATMs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ATM design aspects (display location, button size, language) are fixed, then the ATM structure is simple and reliable, but it becomes difficult to operate for users outside the nominal height range
Solution Approach 1:
The patent applies dynamics by making ATM interface elements adjustable rather than fixed. The display location, button size, and other interface parameters can be dynamically modified based on user characteristics (such as height) detected by the system, allowing the ATM to adapt to different users while maintaining a relatively simple hardware structure.
Solution Approach 2:
The patent changes parameters of the ATM interface (display position, button dimensions, text size) based on detected user characteristics. By modifying these parameters dynamically, the system improves ease of operation for users outside the nominal height range without requiring complete hardware redesign.
2Ease of operation
If ATM design aspects are made adjustable for different users, then ease of operation improves, but device complexity increases
Solution Approach 1:
The ATM system performs self-service by automatically detecting user characteristics (such as height) and adjusting interface parameters without requiring manual configuration. The system serves itself by using sensors to gather user data and automatically modifying display and control element settings, reducing the need for complex manual adjustment mechanisms.
Solution Approach 2:
The patent implements feedback mechanisms where the ATM detects user characteristics and adjusts interface parameters accordingly. This closed-loop approach allows the system to adapt to user needs based on real-time detection, improving ease of operation while managing complexity through automated feedback-driven adjustments.
3Adaptability or versatility
If personalized user experiences are provided without evaluation methods, then adaptability improves, but it is unknown which experiences are most optimal for users
Solution Approach 1:
The patent introduces feedback mechanisms to evaluate personalized user experiences by measuring user interactions and outcomes. This feedback data allows the system to determine which personalized experiences are most effective, enabling continuous improvement of adaptability based on measured performance rather than assumptions.
Solution Approach 2:
The patent replaces mechanical evaluation methods with computational analysis of user interactions. Instead of physical measurement or manual evaluation, the system uses software-based analysis of user behavior data to determine the effectiveness of personalized experiences, improving measurement precision through digital analytics.
Data Source
AI summary
Systems and methods are provided for determining an emotion state for a user during an interaction with an automated teller machine. In some embodiments, the system may be configured to receive image data associated with a recorded interaction of a user with the interface. The system may be configured to receive interaction data indicative of a process associated with the interface. The system may be configured to apply image data processing to the image data to determine an emotion state for the user during the recorded interaction.