Artificial intelligence (AI) in healthcare is a promising and constantly evolving field, already encompassing several diagnostic domains such as radiology, pathology, and dermatology. Besides application for healthcare professionals, increasingly more consumer-centered diagnostic tools, such as self-administered skin-screening apps, are entering the market. Considering that the accessibility to in-person healthcare is limited for many people worldwide, these self-administered tools, which are easily accessible to everyone with a smartphone, might bring substantial benefits to public health. However, now, it is unclear what motivates people to consult an AI-enabled health tool. Therefore, our study investigates the effect of several factors that might influence people’s decision to seek a skin cancer screening by an AI-enabled tool compared to a traditional dermatologist. To answer this question, we plan to conduct a choice-based conjoint experiment using vignettes in Qualtrics. We plan to recruit a representative sample with N = 1,500 from the US population via Prolific. This sample size has been estimated for a power of 80% and an estimated effect size of AMCE = .09. During the experiment, the participants will be first presented with two options of providers for a skin cancer screening: (a) using an AI-enabled smartphone app or (b) making an appointment with a dermatologist. Next, our participants will receive four additional pieces of information (= attributes) regarding the skin cancer screening for both providers. These attributes are (a) costs of the screening: low/medium/high, (b) data security: low/high, (c) level of expertise of the provider: low/high, and (d) informational details regarding the screening result: low/high. One manifestation of every attribute will be randomly assigned to each skin cancer screening provider, resulting in 48 possible vignettes. After presenting the two options, participants will be asked to choose which provider they would prefer to perform the screening. At last, the participants will have to complete a short survey including questions regarding their attitudes towards technology, data security concerns, previous experience with skin cancer screenings, relevant pre-existing health conditions, and demographic information (ethnicity, age, gender, BMI, education, socioeconomic status). The planned study aims to identify the most relevant factors that motivate or deter people from using AI-enabled health tools. These findings might be used to design AI-enabled consumer-centered diagnostic tools to provide easy access to health services for many people who otherwise might not be able to access these services.