Towards the Development of an Inter-cultural Scale to Measure Trust in Automation

Abstract

Abstract. Trust is conceived as an attitude leading to intentions resulting in user actions involving automation. It is generally believed that trust is dynamic and that a user's prior experience with automation affects future behavior indirectly through causing changes in trust. Additionally, individual differences and cultural factors have been frequently cited as the contributors to influencing trust beliefs about using and monitoring automation. The presented research focuses on modeling human's trust when interacting with automated systems across cultures. The initial trust assessment instrument, comprising 110 items along with 2 perceptions (general vs. specific use of automation), has been empirically validated. Detailed results comparing items and dimensionality with our new pooled measure will be presented.

The Role of Trust in Human-Robot Interaction

“…A recent effort [21,23] has led to a general measure of trust in automation validated across large populations in three diverse cultures, US, Taiwan and Turkey, as representative of Dignity, Face, and Honor cultures [63]. The Cross-cultural measure of trust is consistent with the three (performance, purpose, process) dimensions of [58,81] and contains two 9 item scales, one measuring the propensity to trust as in [46] and the other measuring trust in a specific system.…”

Influence of cultural factors in dynamic trust in automation

“…Prior to beginning, participants were asked to complete the trust instrument we developed in earlier research [15], [16], Big Five inventory [17] and CVSCALE [IS] measuring initial trust in automation, personality traits, and cultural characteristics respectively. Participants then took an interactive training tutorial (approximately 20 minutes) to practice control operations and, based on the randomly assigned condition, learn all aspects of the simulation with the assisted applications (i.e., target finder or/and conflict detector).…”

Relationships between physiological signals and stress levels in the case of automated technology failure

“…For a subjective measure, perceived trust was evaluated using an online questionnaire with a 21-point Likert scale (very low, − 10; neutral, 0; very high, + 10). The definition of the perceived trust was designed in this study to be an expectation of the auto-correction system working as expected (for more information for measuring trust in automation, see Chien et al 2014;Jeong et al 2018a;Jian et al 2000). Since trust is a variable between a human and automation, depending on a context, the measured trust in this study is valid only in auto-correction tasks.…”