Travelers' Need for Information in Traffic and Transit: Results from a Web Survey. - Caspar G. Chorus; Theo A. Arentze; Harry J. P. Timmermans; Eric J. E. Molin; Bert van Wee (J. Intell. Transp. Syst., 2007)

The Value of Travel Information: A Search-Theoretic Approach. - Caspar G. Chorus; Joan L. Walker; Moshe E. Ben-Akiva (J. Intell. Transp. Syst., 2010)

Travel Information: Time to Drop the Labels? - Caspar G. Chorus (IEEE Trans. Intell. Transp. Syst., 2012)

Acquisition of Ex-Post Travel Information: A Matter of Balancing Regrets. - Caspar G. Chorus (Transp. Sci., 2014)

Incorporating Mental Representations in Discrete Choice Models of Travel Behavior: Modeling Approach and Empirical Application. - Theo A. Arentze; Benedict G. C. Dellaert; Caspar G. Chorus (Transp. Sci., 2015)

Sampling of Alternatives in Random Regret Minimization Models. - Cristian Angelo Guevara; Caspar G. Chorus; Moshe E. Ben-Akiva (Transp. Sci., 2016)

Secure or usable computers? Revealing employees' perceptions and trade-offs by means of a discrete choice experiment. - Eric J. E. Molin; Kirsten Meeuwisse; Wolter Pieters; Caspar G. Chorus (Comput. Secur., 2018)

Learning Opinions by Observing Actions: Simulation of Opinion Dynamics Using an Action-Opinion Inference Model. - Tanzhe Tang; Caspar G. Chorus (J. Artif. Soc. Soc. Simul., 2019)

An Empirical Approach to Capture Moral Uncertainty in AI. - Andreia Martinho; Maarten Kroesen; Caspar G. Chorus (AIES, 2020)

Un processus pour la sélection de stratégie de gestion de l'information dans les systèmes de confiance. - Nicolas Cointe; Amineh Ghorbani; Caspar G. Chorus (JFSMA, 2020)

Perspectives about artificial moral agents. - Andreia Martinho; Adam Poulsen; Maarten Kroesen; Caspar G. Chorus (AI Ethics, 2021)

A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence. - Andreia Martinho; Maarten Kroesen; Caspar G. Chorus (Artif. Intell. Medicine, 2021)

Computer Says I Don't Know: An Empirical Approach to Capture Moral Uncertainty in Artificial Intelligence. - Andreia Martinho; Maarten Kroesen; Caspar G. Chorus (Minds Mach., 2021)

Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence. - Caspar G. Chorus; Sander van Cranenburgh; Aemiro Melkamu Daniel; Erlend Dancke Sandorf; Anae Sobhani; Teodóra Szép (Math. Soc. Sci., 2021)

Perceived challenges and opportunities of machine learning applications in governmental organisations: an interview-based exploration in the Netherlands. - Jeroen Delfos; Anneke Zuiderwijk; Sander van Cranenburgh; Caspar G. Chorus (ICEGOV, 2022)

Integral system safety for machine learning in the public sector: An empirical account. - Jeroen Delfos; Anneke Zuiderwijk-van Eijk; Sander van Cranenburgh; Caspar G. Chorus; Roel I. J. Dobbe (Gov. Inf. Q., 2024)