Conrad, C., Moylan, R. and O. Diaz, G. (2022). University life has gone digital: Influences of institutional mobile social network use during the Covid-19 emergency. Library Hi Tech https://doi.org/10.1108/LHT-12-2021-0458
Conrad, C., Aziz, J., Henneberry, J. M. and Newman, A. J. (2022). Do emotions influence safe browsing? Towards an EEG marker of affective responses to cybersecurity notifications. Frontiers in Neuroscience 16. 10.3389/fnins.2022.922960
Conrad, C., Caron, I., Deng, Q., Shkurska, O., Skerrett, P., and Sundararajan, B. (2022). How student perceptions about online learning difficulty influenced their satisfaction during Canada’s Covid-19 response. British Journal of Educational Technology. 10.1111/bjet.13206
Conrad, C., Newman, A. (2021). Measuring mind wandering during online lectures assessed with EEG. Frontiers in Human Neuroscience 14. 10.3389/fnhum.2021.697532
Beaubien, L., Conrad, C., Music, J. and Toze, S. (2021). Evaluating simplified web interfaces of risk models for clinical use: Pilot survey study. JMIR Formative Research 5(7), e22110. 10.2196/22110
Klesel, M., Oschinsky, F., Conrad, C., and Niehaves, B. (2021). Does the type of mind-wandering matter? Extending the inquiry about the role of mind-wandering in the IT use experience. Internet Research 31(3), 1018-1039.
Conrad, C., Bliemel, M., & Ali-Hassan, H. (2019). The role of flow in learning distributed computing and mapreduce concepts using hands-on analogy. Journal of Information Systems Education 30(1), 57-66.
Papers in conference proceedings
Conrad, C., Klesel, M., Oschinsky, F., Mayhew, K., O’Neil, K., and Usai, F. (forthcoming). It’s not the number of meetings: Social presence and workplace control predict perceived remote work performance. Proceedings of the 2023 Hawaii International Conference on System Sciences.
Gawai, H., Conrad, C., and Keselj, V. (2022). It’s more than memes: User risk appetite and app enjoyment predict simulated mobile trading app behavior. In 2022 International Conference on Information Resources Management.
Conrad, C, Klesel, M., Mayhew, K., O’Neil, K., Oschinsky F. and Usai, F. (2022). Is your ability to detect errors an indicator of mind wandering? An experiment proposal. In NeuroIS 2022 NeuroIS Retreat.
Conrad, C. and Newman, A. (2022). Toward mind wandering adaptive online learning and virtual work experiences. In 2022 NeuroIS Retreat.
O. Diaz, G., and Conrad, C. (2021). Online communities and dating apps: The effects of social presence, trust, and Covid-19. Proceedings of the 2021 Americas Conference on Information Systems (AMCIS).
Godfrey, D., Findlay, C., Mulchandani, D., Subramanilyer, R., Conrad, C., & Newman, A. (2020). A Tri-Hybrid Brain-Computer Interface for Neuro-Information Systems. In NeuroIS Retreat (pp. 291-297). Springer, Cham.
Gone, P. and Conrad, C. (2020). Comparing changes in attitudes towards COVID-19 expressed on social media: the case of USA and Canada. Proceedings of the International Conference on Knowledge Management (ICKM).
Klesel, M., Schlechtinger, M., Oschinsky, F. M., Conrad, C., & Niehaves, B. (2020). Detecting Mind Wandering Episodes in Virtual Realities Using Eye Tracking. In NeuroIS Retreat (pp. 163-171). Springer, Cham.
Conrad, C., Agarwal, O., Woc, C. C., Chiles, T., Godfrey, D., Krueger, K., … & Newman, A. (2020). On Using Python to Run, Analyze, and Decode EEG Experiments. In Information Systems and Neuroscience (pp. 287-293). Springer.
Conrad, C., & Bailey, L. (2020). What can NeuroIS learn from the replication crisis in psychological science?. In Information Systems and Neuroscience (pp. 129-135). Springer, Cham.
Conrad, C., Aziz, J., Smith, N., & Newman, A. (2020). What do users feel? Towards affective EEG correlates of cybersecurity notifications. In NeuroIS Retreat (pp. 153-162). Springer, Cham.
Conrad, C. and Newman, A. (2019). How attention networks can inform research in information systems. In Davis, F. D., Riedl, R., vom Brocke, J., Léger, P. M. and Randolph A. B. In Information Systems and Neuroscience (pp. 155-162). Springer.
Conrad, C. and Newman, A. (2019). Measuring the impact of mind wandering in real time using an auditory evoked potential. In Davis, F. D., Riedl, R., vom Brocke, J., Léger, P. M. and Randolph A. B. In Information Systems and Neuroscience (pp. 37-45). Springer.
Jankowska, M, Conrad, C., Harris, J. & Keselj, V. (2018). N-gram based approach for automatic prediction of essay rubric marks. In Advances in Artificial Intelligence: 31st Canadian Conference on Artificial Intelligence, Canadian AI. Springer.
Conrad, C., Ali, N., Gao, Q. & Keselj, V, (2016). ELM: an extended matching method on record linkage analysis of disparate databases for profile data mining. In Proceedings of the 18th IEEE Conference on Business Informatics. IEEE.
Conrad, C., & Keselj, V. (2016). Predicting political donations using twitter hashtags and character n-grams. Proceedings of the 18th IEEE Conference on Business Informatics. IEEE.
Conrad, C., & Bliemel, M. (2016). Psychophysiological measures of cognitive absorption and cognitive load in e-learning applications. In Proceedings of the 2016 International Conference on Information Systems.
Peer-reviewed abstracts or posters presented at conferences
Conrad, C. (forthcoming). Measures and impacts of mind wandering when using online learning software. 2022 Meeting of the Canadian Society of Brain and Behaviour and Cognitive Science, July 2022.
Mongeon, P., Taylor, S. and Conrad, C. (2022). On achieving greater research impact through interdisciplinary collaboration in Canada. 2022 Meeting of the Administrative Sciences Association of Canada, June 2022.
Conrad, C. and Newman, A. (2019). An ERP approach to measuring mind wandering during learning multimedia use. Poster presented at the Annual Meeting of the Society for Neuroscience.
Conrad, C., Ali-Hassan, H. and Bliemel, M. (2015). Hadoop Hands On: teaching mapreduce to business students through analogy. 2015 Americas Conference on Information Systems Big Data and Analytics EdCon.