Ensemble Artificial Neural Networks for Prediction of Dew Point temperature. - Daniel B. Shank; Ronald W. McClendon; Joel A. Paz; Gerrit Hoogenboom (Appl. Artif. Intell., 2008)

Are computers good or bad for business? How mediated customer-computer interaction alters emotions, impressions, and patronage toward organizations. - Daniel B. Shank (Comput. Hum. Behav., 2013)

Does technology empower urban youth? The relationship of technology use to self-efficacy. - Daniel B. Shank; Shelia R. Cotten (Comput. Educ., 2014)

Gender, technology use and ownership, and media-based multitasking among middle school students. - Shelia R. Cotten; Daniel B. Shank; William A. Anderson (Comput. Hum. Behav., 2014)

Impressions of computer and human agents after interaction: Computer identity weakens power but not goodness impressions. - Daniel B. Shank (Int. J. Hum. Comput. Stud., 2014)

Attributions of morality and mind to artificial intelligence after real-world moral violations. - Daniel B. Shank; Alyssa DeSanti (Comput. Hum. Behav., 2018)

Feeling our way to machine minds: People's emotions when perceiving mind in artificial intelligence. - Daniel B. Shank; Christopher Graves 003; Alexander Gott; Patrick Gamez; Sophia Rodriguez (Comput. Hum. Behav., 2019)

Artificial virtue: the machine question and perceptions of moral character in artificial moral agents. - Patrick Gamez; Daniel B. Shank; Carson Arnold; Mallory North (AI Soc., 2020)

Exposed by AIs! People Personally Witness Artificial Intelligence Exposing Personal Information and Exposing People to Undesirable Content. - Daniel B. Shank; Alexander Gott (Int. J. Hum. Comput. Interact., 2020)

Knowledge, Perceived Benefits, Adoption, and Use of Smart Home Products. - Daniel B. Shank; David Wright 008; Rohan Lulham; Clementine Thurgood (Int. J. Hum. Comput. Interact., 2021)

Rejecting and Restricting Smart Home Technology. - David Wright 008; Daniel B. Shank (ProComm, 2022)

Discontinuance and Restricted Acceptance to Reduce Worry after Unwanted Incidents with Smart Home Technology. - Daniel B. Shank; David Wright 008; Sumina Nasrin; Mariter White (Int. J. Hum. Comput. Interact., 2023)

Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review. - Harishankar V. Subramanian; Casey Inez Canfield; Daniel B. Shank (Artif. Intell. Medicine, 2024)

Knowing When to Pass: The Effect of AI Reliability in Risky Decision Contexts. - Hannah Elder; Casey Inez Canfield; Daniel B. Shank; Tobias Rieger; Casey Hines (Hum. Factors, 2024)

Moral behaviour alters impressions of humans and AIs on teams: unethical AIs are more powerful while ethical humans are nicer. - Daniel B. Shank; Matthew Dew; Fatima Sajjad (Behav. Inf. Technol., 2025)