Design Foundations for AI Assisted Decision Making: A Self Determination Theory Approach

Progress of technology and processing power has enabled the advent of sophisticated technology including Artificial Intelligence (AI) agents. AI agents have penetrated society in many forms including conversation agents or chatbots. As these chatbots have a social component to them, is it critical to evaluate the social aspects of their design and its impact on user outcomes. This study employs Social Determination Theory to examine the effect of the three motivational needs on user interaction outcome variables of a decision-making chatbot. Specifically, this study looks at the influence of relatedness, competency, and autonomy on user satisfaction, engagement, decision efficiency, and decision accuracy. A carefully designed experiment revealed that all three needs are important for user satisfaction and engagement while competency and autonomy is associated with decision accuracy. These findings highlight the importance of considering psychological constructs during AI design. Our findings also offer useful implications for AI designers and organizations that plan on using AI assisted chatbots to improve decision-making efforts

Creating a Short, Public-Domain Version of the CPAI-2: Using an Algorithmic Approach to Develop Public-Domain Measures of Indigenous Personality Traits

In this study we aimed to create a short, public-domain analogue of the Cross-Cultural (Chinese) Personality Assessment Inventory (CPAI-2; F. M. Cheung et al., 1996). Emic (culture-specific) traits measured by the CPAI-2 are purportedly specific to the Chinese culture and argued to not be fully captured by the consensus Big Five personality trait taxonomy. Research suggests that CPAI-2 traits may have unique predictive power, especially in non-Western contexts. However, research has been hampered by several limitations of the measure. The inventory is proprietary and long, with 341 items forming 28 scales and four factors. Cross-cultural personality research would benefit from a short, public-domain analogue to the CPAI-2 to permit assessment in a wider range of contexts. Using two analytic approaches—item factor analysis and a genetic algorithm (Yarkoni, 2018)—we developed two short, public-domain measures to assess the 11 emic CPAI-2 scales that have no clear analogues in the current public-domain personality measure library. When examining the resulting measures’ factor structure, reliability, and criterion-related validity, we see that both short-form measures adequately replicate the pattern of correlations exhibited by the full-form measure as well as the original CPAI-2. Implications for research using automated scale abbreviation and the cultural specificity hypothesis of personality are discussed

Creating a Short, Public-Domain Version of the CPAI-2: Using an Algorithmic Approach to Develop Public-Domain Measures of Indigenous Personality Traits

In this study we aimed to create a short, public-domain analogue of the Cross-Cultural (Chinese) Personality Assessment Inventory (CPAI-2; F. M. Cheung et al., 1996). Emic (culture-specific) traits measured by the CPAI-2 are purportedly specific to the Chinese culture and argued to not be fully captured by the consensus Big Five personality trait taxonomy. Research suggests that CPAI-2 traits may have unique predictive power, especially in non-Western contexts. However, research has been hampered by several limitations of the measure. The inventory is proprietary and long, with 341 items forming 28 scales and four factors. Cross-cultural personality research would benefit from a short, public-domain analogue to the CPAI-2 to permit assessment in a wider range of contexts. Using two analytic approaches—item factor analysis and a genetic algorithm (Yarkoni, 2018)—we developed two short, public-domain measures to assess the 11 emic CPAI-2 scales that have no clear analogues in the current public-domain personality measure library. When examining the resulting measures’ factor structure, reliability, and criterion-related validity, we see that both short-form measures adequately replicate the pattern of correlations exhibited by the full-form measure as well as the original CPAI-2. Implications for research using automated scale abbreviation and the cultural specificity hypothesis of personality are discussed