Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21982, first published .
User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study

User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study

User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study

Journals

  1. Asensio-Cuesta S, Blanes-Selva V, Conejero A, Portolés M, García-Gómez M. A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity. Informatics for Health and Social Care 2022;47(1):38 View
  2. Asensio-Cuesta S, Blanes-Selva V, Portolés M, Conejero J, García-Gómez J. How the Wakamola chatbot studied a university community’s lifestyle during the COVID-19 confinement. Health Informatics Journal 2021;27(2):146045822110179 View
  3. Oreški D, Vukovac D, Hajdin G. Assessment and Comparison of Meta-features for Educational Chatbots Data and Survey Data. WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION 2022;19:22 View
  4. Tulsiani S, Ichimiya M, Gerard R, Mills S, Bingenheimer J, Hair E, Vallone D, Evans W. Assessing the Feasibility of Studying Awareness of a Digital Health Campaign on Facebook: Pilot Study Comparing Young Adult Subsamples. JMIR Formative Research 2022;6(8):e37856 View
  5. Chen Y, Jensen S, Albert L, Gupta S, Lee T. Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success. Information Systems Frontiers 2023;25(1):161 View
  6. Sorici A, Băjenaru L, Mocanu I, Florea A, Tsakanikas P, Ribigan A, Pedullà L, Bougea A. Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol. Healthcare 2023;11(19):2656 View
  7. Albino de Queiroz D, Silva Passarello R, Veloso de Moura Fé V, Rossini A, Folchini da Silveira E, Aparecida Isquierdo Fonseca de Queiroz E, André da Costa C. A wearable chatbot-based model for monitoring colorectal cancer patients in the active phase of treatment. Healthcare Analytics 2023;4:100257 View
  8. Habicht J, Viswanathan S, Carrington B, Hauser T, Harper R, Rollwage M. Closing the accessibility gap to mental health treatment with a personalized self-referral chatbot. Nature Medicine 2024;30(2):595 View
  9. Šafran V, Lin S, Nateqi J, Martin A, Smrke U, Ariöz U, Plohl N, Rojc M, Bēma D, Chávez M, Horvat M, Mlakar I. Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST). Sensors 2024;24(4):1101 View
  10. Cingillioglu I. What impacts matriculation decisions? Identifying students’ university choice factors on a global scale with Artificial Intelligence. Studies in Higher Education 2024:1 View
  11. Cingillioglu I, Gal U, Prokhorov A. AI-experiments in education: An AI-driven randomized controlled trial for higher education research. Education and Information Technologies 2024 View
  12. Jin Y, Chen L, Zhao X, Cai W. The way you assess matters: User interaction design of survey chatbots for mental health. International Journal of Human-Computer Studies 2024;189:103290 View

Books/Policy Documents

  1. Plantak Vukovac D, Horvat A, Čižmešija A. Learning and Collaboration Technologies: Games and Virtual Environments for Learning. View
  2. Roeske A, Büntemeyer D, Zakharova I, Breiter A. Datafizierung (in) der Bildung. View
  3. Zwicky A, Stallone V, Haarmann J. Information Systems and Technologies. View