Qualitative Secondary Analysis as an Alternative Approach for Cross-Cultural Design

Title of the Paper

Qualitative Secondary Analysis as an Alternative Approach for Cross-Cultural Design

Bibliographic Information

• Subject Area: Human-Computer Interaction (HCI), Cross-Cultural Design
• Keywords: Culture, Cross-Cultural Design, Qualitative Secondary Analysis (QSA), Saudi Transnational Culture, HCI, Cultural Dimensions, User Research

Research Background and Problem Statement

• Identified Problems:

  • Current cultural models (e.g., Hofstede's model) offer a simplified and static perspective on culture, failing to capture its dynamic changes and specific nuances.
  • For underrepresented groups (e.g., Saudi transnational populations), traditional cultural models often lead to insufficient or overlooked cultural understanding.
  • Existing methods lack practicality in culturally relevant design research, particularly when aiming to understand specific cultural contexts.

• Significance:

  • Understanding the impact of culture on user behavior and perspectives is critical when designing technologies, especially for adaptation and localization.
  • An open and dynamic cultural perspective helps counteract misunderstandings, stereotypes, and the negative effects of cultural essentialism.

• Research Motivation and Related Work:

  • The authors aim to develop a cross-cultural design method that avoids static essentialism while delving into cultural specifics.
  • Unlike traditional cultural models based on quantitative data, the authors propose using Qualitative Secondary Analysis (QSA).
  • This method reanalyzes existing qualitative data to construct cultural dimensions from the ground up, providing richer cultural insights for cross-cultural design.

Solution

• Method/Approach:

  • Propose and validate Qualitative Secondary Analysis (QSA) as a "bottom-up" cultural analysis method for cross-cultural design.
  • QSA involves reanalyzing existing data (collected in original studies) to extract new cultural dimensions.
  • The authors conducted two independent qualitative studies involving 55 Saudi transnational individuals, collecting data on how culture influences their perceptions and behaviors.

• Innovative Aspects:

  • QSA reveals the dynamic and specific nature of culture while avoiding the rigid descriptions of traditional models.
  • Provides a tool that combines typical cultural models (e.g., Hofstede's model) with subjective cultural understanding methods.
  • Cultural dimensions are represented as spectrums, reflecting differences in participants' perspectives, unlike the static scores in quantitative models.

• Implementation Steps:

  1. Select qualitative datasets with a cultural focus (e.g., original studies exploring how culture influences privacy practices or women's public image).
  2. Develop a new research focus (e.g., exploring specific aspects of how participants' home culture influences their behavior).
  3. Use thematic analysis to extract new cultural dimensions from the data and document these dimensions as spectrums of values/barriers.
  4. Address complexity: employ reflexive thematic analysis to guide dimension selection, ensuring consideration of cultural dynamics and diversity.

Research Outcomes

• Specific Findings:

  • Identified three major cultural dimensions: Religious Adherence, Cultural Conformity, and Political Loyalty.
  • Each dimension is presented as a "spectrum," highlighting its role as either a value or a barrier for individuals, for example:
    • Religious Adherence can serve as an important value or be perceived as social pressure or a barrier.
    • The Cultural Conformity spectrum illustrates tensions between individualism and collectivism.
    • Political Loyalty reflects a coexistence of reverence and fear toward the nation.

• Comparison with Existing Solutions:

  • Compared to traditional cultural models, QSA uncovers more cultural nuances, such as "the influence of religious norms on social cohesion," rather than simply categorizing cultures as "collectivist" or "individualist."
  • QSA complements quantitative dimension models by uncovering cultural subtleties that cannot be captured through numerical analysis.

• Experimental or Evaluation Results:

  • QSA effectively supplements cultural models by revealing cultural dynamics and specifics.
  • The study demonstrates that QSA offers a non-intrusive and highly context-sensitive approach for exploring underrepresented cultural groups.

• Limitations and Future Directions:

  • The applicability of QSA for analyzing larger cultural groups requires further exploration.
  • Dimensions generated by QSA are more suited for the early stages of design research; further validation is needed for their application in design evaluation and implementation.
  • Tools need to be developed to simplify the operationalization of cultural dimensions, supporting cross-cultural design practices.

Conclusion

QSA provides an innovative method for cross-cultural design research, addressing the limitations of traditional cultural models and offering designers more specific and dynamic cultural insights. This method is particularly suitable for studying underrepresented and hard-to-reach groups. By deeply analyzing existing data and presenting cultural dimensions as spectrums, QSA advances cross-cultural design toward greater cultural sensitivity.