Comparing Usability and Emotional Responses in Interations with AI Tools

  • Objectives

    • Compare the interface usability of ChatGPT, DeepSeek, and Google Gemini using standardized usability metrics

    • Measure and analyze emotional responses—specifically arousal, valence, and engagement—elicited during user interactions with each AI tool

    • Examine the correlation between perceived usability scores and physiological/emotional engagement data collected via EEG and eye tracking

  • Methods

    • EEG data (Emotiv Insight) for emotional response

    • Eye tracking data (Tobii) for attention and cognitive load

    • Post-task usability questionnaires (UEQ+)

    • Metrics Captured: Arousal, Valence, Engagement, Fixation time, Saccade rate, Usability score

  • Tools & Materials

    • AI Tools: ChatGPT, DeepSeek, Google Gemini

    • BCI Device: Emotiv Insight headset

    • Eye Tracking: Tobii Pro Nano

    • Usability Instruments: UEQ+

  • Outcomes

    • Insights into how interface design influences cognitive and emotional response

    • Data-driven design recommendations for emotionally intelligent AI interfaces

Previous

An Approach to System Architecture Design Through Usability Heuristics
Next

Usability Testing of Healthcare Portals for Individuals with Mental and Physical Disabilities