Development and Initial Validation of the Haptic Experience Inventory (HXI)

Research Background and Issues

• Issues and Challenges: This paper identifies Haptic Experience (HX) as a domain concerning the quality of haptic interaction. However, there is currently no standardized tool to quantify and measure HX. This creates challenges for researchers and developers in understanding, communicating, and evaluating haptic-related experiences.
• Importance of the Issue: Haptic technologies, such as mid-air haptics, force feedback, and vibrotactile haptics, are becoming increasingly popular and can enhance user experiences. However, due to the lack of quantitative evaluation tools, HX research and assessment rely on qualitative analyses, which are inefficient and yield results that are difficult to generalize and compare.
• Research Motivation and Related Work: Although some existing studies have attempted to develop HX evaluation tools, these tools have limitations in terms of reliability or applicability. This paper references existing research models (e.g., the five-factor model proposed by Kim and Schneider) and previous tool development attempts, aiming to support a more validated scale with data and theory.

Solution

• Proposed Method: The authors propose and develop the Haptic Experience Inventory (HXI), a standardized questionnaire tool designed to quantify and measure HX across various application scenarios.
• Innovations:
  • Theory-based construction: Integrates the five-factor model proposed in existing research (including dimensions like harmony and authenticity) and further validates and refines it.
  • Independently establishes a new five-dimension model: Autotelics, Authenticity, Immersion, Harmony, and Discordance.
  • Developed through systematic and rigorous validation, including exploratory factor analysis, confirmatory factor analysis, and psychometric evaluation.
• Implementation Steps:
  1. Theoretical Construction and Initial Item Generation: Drafted 84 items based on the original theoretical model.
  2. Expert Review and Cognitive Interviews: Gathered feedback from domain experts (N=10) and refined items through non-expert cognitive interviews (N=9).
  3. Exploratory Factor Analysis (EFA): Collected data from 360 participants to extract latent factors, initially identifying five dimensions.
  4. Confirmatory Factor Analysis (CFA): Validated the model to ensure consistency with the theory and tested its applicability.
  5. Psychometric Evaluation: Assessed the scale's internal consistency reliability, convergent validity, and measurement invariance across contexts.

Research Findings

• Specific Results:
  • The final HXI consists of 20 items across five dimensions.
  • Demonstrates high internal consistency (overall Cronbach's α = 0.94, minimum α for individual factors = 0.84).
  • Confirmed logical model consistent with the theoretical framework.
  • Provides convergent validity (correlation coefficient with UEQ-S = 0.75) and predictive validity (correlation coefficient with overall user haptic experience = 0.817).
  • Established measurement invariance, making it applicable to three types of haptic devices (force feedback, mid-air haptics, and vibrotactile haptics) and both online and offline research methods.
• Comparison with Existing Solutions: HXI is the first validated scale specifically designed for HX. Compared to existing user experience (UX) questionnaires (e.g., UEQ, AttrakDiff), it focuses more on haptic-specific characteristics and can quantify the multidimensional quality of the experience.
• Experimental and Evaluation Results:
  • EFA and CFA data confirmed the model's structural fit, showing good fit indices (e.g., RMSEA = 0.042).
  • Psychometric evaluations validated its reliability and applicability.
• Limitations and Future Directions:
  • Although the study sample covered three widely used haptic technologies, it did not include all forms of haptic feedback (e.g., surface haptic devices and passive props).
  • The scale's applicability in specific use cases (e.g., underwater or medical applications) has not been fully validated.
  • Lacks analysis of long-term test-retest validity.
  • Future research is encouraged to explore how HXI can be integrated into processes such as design or user behavior prediction and to expand validation samples and usage scenarios.

Conclusion

This paper addresses the long-standing gap in HX measurement tools by developing and validating the Haptic Experience Inventory (HXI). HXI not only provides a new method for assessing the quality of haptic design but also advances HX theory and design practices. The authors recommend conducting broader research and application validation based on HXI to support the optimization of haptic experiences across diverse scenarios.