The TAEG Questionnaire: Assessing Individual Affinity for Technology Across Different Countries

Research Background and Issues

• What problems or challenges did the authors identify?
  Individuals exhibit varying levels of affinity for technology, which can influence their attitudes and behaviors toward new technologies. However, there is currently a lack of effective tools that can assess this trait across languages and national boundaries, limiting global research on technology acceptance and usage motivations. Additionally, many existing tools are not only unidimensional but also constrained by linguistic and cultural differences.

• Why is this issue important?
  Understanding individual technology affinity is crucial for advancing technology design, user adoption, educational interventions, and cross-cultural technology research. It can help design more personalized technological solutions and provide insights to enhance the adoption and user satisfaction of technology in various application scenarios.

• Research Motivation and Related Work
  The authors focus on prior research in the field of human-technology interaction, such as Parasuraman's Technology Readiness Index. These studies often focus on unidimensional assessments and specific attitudes toward technology, with few addressing technology affinity as a general psychological trait. This study aims to fill this gap by expanding the TAEG questionnaire across languages and countries, establishing it as a standard tool for cross-national comparisons, while also exploring the influence of demographic variables such as age and gender on technology affinity.

Solution

• What methods or solutions did the authors propose?
  The authors developed English, Japanese, and Spanish versions of the multidimensional TAEG questionnaire and conducted translation and validation processes. The TAEG questionnaire is based on four dimensions: technology enthusiasm, self-assessed technological competence, positive consequences of technology, and negative consequences of technology. Additionally, a shorter version of the TAEG questionnaire, TAEG-S, was introduced to enhance usability and efficiency.

• What are the innovative aspects of this solution?

  1. Multidimensional Framework: Technology affinity is decomposed into four dimensions (enthusiasm, competence, positive impact, and negative impact), offering a more nuanced perspective for psychological and technology application research.
  2. Cross-Language Validation: Scientifically translated and validated multilingual versions (English, Japanese, Spanish) facilitate global communication and application.
  3. Economical Questionnaire Version: TAEG-S captures the overall construct using only four items, making it suitable for time-constrained scenarios.

• What are the implementation steps and key techniques used?

  1. Translation: Following the TRAPD translation guidelines, the original German questionnaire was translated into other languages using a bidirectional process, refined through expert discussions and qualitative pretesting.
  2. Validation: Data was collected from stratified samples (by age and gender) in Germany, the United States, Japan, and Mexico. Confirmatory factor analysis (CFA) was used to ensure the validity of the questionnaire's dimensional structure. Internal consistency and criterion validity were also analyzed.
  3. Data Analysis: Exploratory analysis was conducted to examine relationships between variables, including the effects of age, gender, and country on the dimensions of technology affinity.

Research Findings

• What specific results were achieved?

  1. Validation of Questionnaire Structure: The established four-dimensional structure of the German version performed well in the English, Japanese, and Spanish versions, demonstrating consistency across languages and cultures.
  2. Internal Consistency: Except for the negative consequences dimension in the U.S. sample, internal consistency for all dimensions and countries met excellent or good standards.
  3. Criterion Validity: TAEG total scores significantly predicted participants' technology usage time and experience levels, and the short version of the questionnaire showed a significant positive correlation with the original version.

• What advantages does it have over existing solutions?
  Compared to unidimensional questionnaires, TAEG provides more detailed insights into why individuals accept or resist technology. Additionally, its multilingual validation enhances global applicability, and the short version increases practicality.

• What were the experimental or evaluation results?

  1. The Mexican sample scored significantly higher than other countries in technology enthusiasm, self-assessed competence, and positive consequences, while Japan scored the lowest.
  2. Age had a significant impact on all dimensions of technology affinity; for example, technology enthusiasm and self-assessed competence decreased with age, while perceived negative consequences also declined.
  3. Significant gender differences were observed, with males scoring higher in technology enthusiasm and self-assessed competence, while females were more inclined to perceive negative consequences of technology.

• Limitations and Future Directions

  1. Limitations:
     • Online questionnaire collection may underestimate individuals with low technology affinity.
     • The questionnaire relies on subjective self-assessments, lacking behavioral measurements.
     • Cross-country comparisons lack sufficient control for variables such as technology exposure and economic development indices.
  2. Future Directions:
     • Explore methods to reduce response bias in cross-cultural research, potentially by introducing non-Likert scale responses.
     • Investigate the complex interactions of age and gender with technology affinity, as well as the potential role of social factors such as cultural norms.
     • Test the practical application of the questionnaire in technology design and educational interventions.

By validating and extending the TAEG questionnaire, this study provides a necessary tool for improving human-technology interaction while opening new avenues for global research.