Short answer
When designing for intelligent environments, adopt a holistic UX evaluation approach that considers user emotions and perceptions throughout their entire interaction lifecycle, not just task completion.
- Field
- User-Centred Design
- Source
- Technologies (2021)
- Method
- Framework development and evaluation
- Evidence
- Strong effect
User experience (UX) in intelligent environments extends beyond traditional usability to encompass a user's holistic emotional response before, during, and after interaction. This user-centred design research insight is drawn from a 2021 study published in Technologies. Using Framework development and evaluation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing for intelligent environments, adopt a holistic UX evaluation approach that considers user emotions and perceptions throughout their entire interaction lifecycle, not just task completion.
A Comprehensive Framework for Measuring User Experience in Intelligent Environments
User experience (UX) in intelligent environments extends beyond traditional usability to encompass a user's holistic emotional response before, during, and after interaction.
Technologies · 2021
Key Findings
- 01Existing UX measurement approaches are insufficient for complex intelligent environments.
- 02A comprehensive framework is needed to guide the measurement of UX parameters across the entire user journey.
- 03The proposed framework aids researchers and practitioners in planning, executing, and analyzing UX studies effectively.
Application
Design takeaway
When designing for intelligent environments, adopt a holistic UX evaluation approach that considers user emotions and perceptions throughout their entire interaction lifecycle, not just task completion.
How to apply
When designing a smart home system, use the framework to identify key emotional touchpoints and usability challenges that users might encounter from initial setup to daily use and long-term adaptation.
Project actions
- 01When evaluating your design, ask users about their feelings before, during, and after using it.
- 02Consider how the environment itself contributes to the user's experience, not just the specific product.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a structured and comprehensive approach to UX evaluation.
- +Addresses a gap in research concerning UX in intelligent environments.
Limitations
It can be challenging to objectively measure subjective emotional responses.
Reliability & validity
The framework's validity was assessed through its evaluation by researchers and practitioners, suggesting its utility in guiding UX studies.
Think critically
How can we ensure that the emotional responses measured are truly attributable to the design of the intelligent environment and not external factors?
Design Principles
"Holistic User Experience Assessment: Design and evaluate interactive systems by considering the full spectrum of user emotions, perceptions, and satisfaction across all stages of interaction."
Designing for intelligent environments requires a broader perspective than just functional usability. Understanding the full spectrum of user emotions and perceptions is crucial for creating truly effective and engaging experiences.
What This Means for Your Design
Think about how a user *feels* when using a smart device or space, not just if they can use it. This research gives a way to measure those feelings.
How to use in your project
- 1.Reference this framework when discussing the importance of a comprehensive UX evaluation for your design project, especially if it involves interactive or environmental elements.
Add to My Project
Quick Cite
Paragraph starter
This research highlights the critical need for a comprehensive framework to evaluate user experience (UX) in intelligent environments, moving beyond traditional usability metrics to encompass the user's emotional journey. For this design project, understanding the holistic UX is paramount, as the interaction with the designed system will influence user feelings before, during, and after use.
Source
Technologies
User Experience Evaluation in Intelligent Environments: A Comprehensive Framework
journal · 2021
View sourceQuestions About This Research
- What does the research say about a comprehensive framework for measuring user experience in intelligent environments?
- When designing for intelligent environments, adopt a holistic UX evaluation approach that considers user emotions and perceptions throughout their entire interaction lifecycle, not just task completion. Evidence: Technologies (2021).
- Why does "A Comprehensive Framework for Measuring User Experience in Intelligent Environments" matter for design?
- Designing for intelligent environments requires a broader perspective than just functional usability. Understanding the full spectrum of user emotions and perceptions is crucial for creating truly effective and engaging experiences.
- How can designers apply this research?
- When designing for intelligent environments, adopt a holistic UX evaluation approach that considers user emotions and perceptions throughout their entire interaction lifecycle, not just task completion.
- What were the main findings?
- Existing UX measurement approaches are insufficient for complex intelligent environments.. A comprehensive framework is needed to guide the measurement of UX parameters across the entire user journey.. The proposed framework aids researchers and practitioners in planning, executing, and analyzing UX studies effectively.
- What research method was used?
- Framework development and evaluation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2021 journal from Technologies.
- What should I do differently in my next project?
- When designing a smart home system, use the framework to identify key emotional touchpoints and usability challenges that users might encounter from initial setup to daily use and long-term adaptation.
- What are the limitations?
- The framework's applicability may vary depending on the specific type and complexity of the intelligent environment.