Chiara Longoni

Dean’s Research Scholar Assistant Professor, Marketing
  • Phone 617-353-9784
  • Office 619

  • BOSTON UNIVERSITY
    Questrom School of Business
    Rafik B. Hariri Building
    595 Commonwealth Avenue
    Boston, MA 02215

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I am a behavioral scientist and Assistant Professor of Marketing at Boston University’s Questrom School of Business. I conduct interdisciplinary research on psychological responses to artificial intelligence across domains spanning healthcare, recommendation systems, automated content generation, and government services. A secondary area of research broadly relates to consumer and societal well-being. My work in this area looks at the determinants of positive behavior change and the drivers of sustainability and climate action. I am the recipient of the 2022 Journal of Consumer Research Best Article Award and the 2021-22 American Marketing Association Best Article Award. My work has been published, among others, in the Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Journal of Consumer Psychology, Nature Human Behavior, and Nature Communications.

I teach a semester-long course in Branding to undergraduate and MBA students, and an intensive course on the psychology of artificial intelligence to executives. Prior to joining Boston University, I completed a Ph.D. in marketing at New York University’s Stern School of Business. I also hold a M.S. (summa cum laude) from Bocconi University, a M.A. (Honors) in Psychology from New York University, and a M. Phil. in Marketing from New York University’s Stern School of Business. Before joining academia, I worked in strategic consulting and brand management.

    Education
  • PhD, New York University, Leonard Stern School of Business, 2016
  • MPhil, New York University, Leonard Stern School of Business, 2015
  • MA, New York University, 2011
  • MS, Bocconi University, 2005
    Publications
  • Longoni, C. (In Press). "Social and moral psychology of COVID-19 across 69 countries", Nature Scientific Data
  • Longoni, C. (2023). "Do People Believe Generative AI?",
  • Pavlovic, T., Azevedo, F., De, K., Riaño-Moreno, J., Maglic, M., Gkinopoulos, T., Donnelly-Kehoe, P., Payán-Gómez, C., Huang, G., Kantorowicz, J., Birtel, M., Schönegger, P., Capraro, V., Santamaría-García, H., Yucel, M., Ibanez, A., Rathje, S., Wetter, E., Stanojevic, D., van Prooijen, J., Hesse, E., Elbaek, C., Franc, R., Pavlovic, Z., Mitkidis, P., Cichocka, A., Gelfand, M., Alfano, M., Ross, R., Sjåstad, H., Nezlek, J., Cislak, A., Lockwood, P., Abts, K., Agadullina, E., Amodio, D., Apps, M., Aruta, J., Besharati, S., Bor, A., Choma, B., Cunningham, W., Ejaz, W., Farmer, H., Findor, A., Gjoneska, B., Gualda, E., Huynh, T., Imran, M., Israelashvili, J., Kantorowicz-Reznichenko, E., Krouwel, A., Kutiyski, Y., Laakasuo, M., Lamm, C., Levy, J., Leygue, C., Lin, M., Mansoor, M., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Olsson, A., Otterbring, T., Packer, D., Palomäki, J., Perry, A., Petersen, M., Puthillam, A., Rothmund, T., Schmid, P., Stadelmann, D., Stoica, A., Stoyanov, D., Stoyanova, K., Tewari, S., Todosijevic, B., Torgler, B., Tsakiris, M., Tung, H., Umbre?, R., Vanags, E., Vlasceanu, M., Vonasch, A., Zhang, Y., Abad, M., Adler, E., Mdarhri, H., Antazo, B., Ay, F., Ba, M., Barbosa, S., Bastian, B., Berg, A., Bialek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J., Borau, S., Buchel, O., de Carvalho, C., Celadin, T., Cerami, C., Chalise, H., Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M., Crespi, C., Crouzevialle, M., Cutler, J., Cypryanska, M., Dabrowska, J., Davis, V., Minda, J., Dayley, P., Delouvée, S., Denkovski, O., Dezecache, G., Dhaliwal, N., Diato, A., Di Paolo, R., Dulleck, U., Ekmanis, J., Etienne, T., Farhana, H., Farkhari, F., Fidanovski, K., Flew, T., Fraser, S., Frempong, R., Fugelsang, J., Gale, J., García-Navarro, E., Garladinne, P., Gray, K., Griffin, S., Gronfeldt, B., Gruber, J., Halperin, E., Herzon, V., Hruška, M., Hudecek, M., Isler, O., Jangard, S., Jørgensen, F., Keudel, O., Koppel, L., Koverola, M., Kunnari, A., Leota, J., Lermer, E., Li, C., Longoni, C., McCashin, D., Mikloušic, I., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nitschke, J., Nurse, M., de Mello, V., Palacios-Galvez, M., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Perander, S., Pitman, M., Raza, A., Rêgo, G., Robertson, C., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W., Santi, G., Schultner, D., Schutte, E., Scott, A., Skali, A., Stefaniak, A., Sternisko, A., Strickland, B., Thomas, J., Tinghög, G., Traast, I., Tucciarelli, R., Tyrala, M., Ungson, N., Uysal, M., Van Rooy, D., Västfjäll, D., Vieira, J., von Sikorski, C., Walker, A., Watermeyer, J., Willardt, R., Wohl, M., Wójcik, A., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R., Boggio, P., Whillans, A., Van Lange, P., Prasad, R., Onderco, M., O'Madagain, C., Nesh-Nash, T., Laguna, O., Kubin, E., Gümren, M., Fenwick, A., Ertan, A., Bernstein, M., Amara, H., Van Bavel, J. (2022). "Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.", PNAS Nexus, 1 (3), pgac093-
  • Longoni, C., Cian, L., Kyung, E. (2022). "Algorithmic Transference: Overgeneralization of failures of artificial intelligence in the government", Journal of Marketing Research
  • Longoni, C., Fradkin, A., Cian, L., Pennycook, G. (2022). "News from generative artificial intelligence is believed less", FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
  • Van Bavel, J., Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J., Pavlovic, T., Alfano, M., Gelfand, M., Azevedo, F., Birtel, M., Cislak, A., Lockwood, P., Ross, R., Abts, K., Agadullina, E., Aruta, J., Besharati, S., Bor, A., Choma, B., Crabtree, C., Cunningham, W., De, K., Ejaz, W., Elbaek, C., Findor, A., Flichtentrei, D., Franc, R., Gjoneska, B., Gruber, J., Gualda, E., Horiuchi, Y., Huynh, T., Ibanez, A., Imran, M., Israelashvili, J., Jasko, K., Kantorowicz, J., Kantorowicz-Reznichenko, E., Krouwel, A., Laakasuo, M., Lamm, C., Leygue, C., Lin, M., Mansoor, M., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Minda, J., Mitkidis, P., Olsson, A., Otterbring, T., Packer, D., Perry, A., Petersen, M., Puthillam, A., Riaño-Moreno, J., Rothmund, T., Santamaría-García, H., Schmid, P., Stoyanov, D., Tewari, S., Todosijevic, B., Tsakiris, M., Tung, H., Umbre?, R., Vanags, E., Vlasceanu, M., Vonasch, A., Yucel, M., Zhang, Y., Abad, M., Adler, E., Akrawi, N., Mdarhri, H., Amara, H., Amodio, D., Antazo, B., Apps, M., Ay, F., Ba, M., Barbosa, S., Bastian, B., Berg, A., Bernal-Zárate, M., Bernstein, M., Bialek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J., Borau, S., Buchel, O., Cameron, C., Carvalho, C., Celadin, T., Cerami, C., Chalise, H., Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M., Crespi, C., Crouzevialle, M., Cutler, J., Cypryanska, M., Dabrowska, J., Daniels, M., Davis, V., Dayley, P., Delouvee, S., Denkovski, O., Dezecache, G., Dhaliwal, N., Diato, A., Di Paolo, R., Drosinou, M., Dulleck, U., Ekmanis, J., Ertan, A., Etienne, T., Farhana, H., Farkhari, F., Farmer, H., Fenwick, A., Fidanovski, K., Flew, T., Fraser, S., Frempong, R., Fugelsang, J., Gale, J., Garcia-Navarro, E., Garladinne, P., Ghajjou, O., Gkinopoulos, T., Gray, K., Griffin, S., Gronfeldt, B., Gümren, M., Gurung, R., Halperin, E., Harris, E., Herzon, V., Hruška, M., Huang, G., Hudecek, M., Isler, O., Jangard, S., Jørgensen, F., Kachanoff, F., Kahn, J., Dangol, A., Keudel, O., Koppel, L., Koverola, M., Kubin, E., Kunnari, A., Kutiyski, Y., Laguna, O., Leota, J., Lermer, E., Levy, J., Levy, N., Li, C., Long, E., Longoni, C., Maglic, M., McCashin, D., Metcalf, A., Mikloušic, I., El Mimouni, S., Miura, A., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nesh-Nash, T., Nitschke, J., Nurse, M., Ohtsubo, Y., Oldemburgo de Mello, V., O'Madagain, C., Onderco, M., Palacios-Galvez, M., Palomäki, J., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Pavlovic, Z., Payán-Gómez, C., Perander, S., Pitman, M., Prasad, R., Pyrkosz-Pacyna, J., Rathje, S., Raza, A., Rêgo, G., Rhee, K., Robertson, C., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W., Santi, G., Santiago-Tovar, N., Savage, D., Scheffer, J., Schönegger, P., Schultner, D., Schutte, E., Scott, A., Sharma, M., Sharma, P., Skali, A., Stadelmann, D., Stafford, C., Stanojevic, D., Stefaniak, A., Sternisko, A., Stoica, A., Stoyanova, K., Strickland, B., Sundvall, J., Thomas, J., Tinghög, G., Torgler, B., Traast, I., Tucciarelli, R., Tyrala, M., Ungson, N., Uysal, M., Van Lange, P., van Prooijen, J., van Rooy, D., Västfjäll, D., Verkoeijen, P., Vieira, J., von Sikorski, C., Walker, A., Watermeyer, J., Wetter, E., Whillans, A., Willardt, R., Wohl, M., Wójcik, A., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R., Boggio, P. (2022). "National identity predicts public health support during a global pandemic.", Nature Communications, 13 (1), 517-517
  • Schweidel, D., Bart, Y., Inman, J., Stephen, A., Libai, B., Andrews, M., Babic Rosario, A., Chae, I., Chen, Z., Kupor, D., Longoni, C., Thomaz, F. (2022). "How consumer digital signals are reshaping the customer journey", Journal of the Academy of Marketing Science 1-20
  • Cadario, R., Longoni, C., Morewedge, C. (2021). "Understanding, Explaining, and Utilizing Medical Artificial Intelligence", Nature Human Behaviour, 5 (12), 1636-1642
  • Longoni, C., Cadario, R., Morewedge, C. (2021). "For Patients to Trust Medical AI, They Need to Understand It", Harvard Business Review (digital)
  • Longoni, C., Cian, L. (2020). "Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of- Machine” Effect", Journal of Marketing, 86 (1), 91-108
  • Longoni, C., Cian, L. (2020). "When Do We Trust AI’s Recommendations More Than People’s?", Harvard Business Review (digital)
  • Longoni, C., Bonezzi, A., Morewedge, C. (2020). "Resistance to medical artificial intelligence is an attribute in a compensatory decision process: response to Pezzo and Becksted (2020)", Judgment and Decision Making, 15 (3)
  • Cian, L., Longoni, C., Krishna, A. (2020). "Advertising a Desired Change: When Process Simulation Fosters (vs. Hinders) Credibility and Persuasion", Journal of Marketing Research, 57 (3), 489-508
  • Longoni, C., Bonezzi, A., Morewedge, C. (2019). "Resistance To Medical Artificial Intelligence", Journal of Consumer Research, 46 (4), 629-650
  • Longoni, C., Morewedge, C. (2019). "AI can outperform doctors. So why don't patients trust it?", Harvard Business Review (digital)
  • Longoni, C., Gollwitzer, P., Oettingen, G. (2014). "A Green Paradox: Validating Green Choices Has Ironic Effects on Behavior, Cognition, and Perception", Journal of Experimental Social Psychology, 50 158-165
    Research Presentations
  • Longoni, C. The dark side of AI: The disruptive effects of technology on consumer choice, 12th Choice Symposium, 2023
  • Longoni, C. TBD, Moral Psychology & AI conference, Canterbury, UK, 2023
  • Longoni, C. TBD, University of Alberta, 2023
  • Longoni, C. LLMs and moral judgments, The Wharton School, University of Pennsylvania, 2023
  • Longoni, C. TBD, Stanford University, 2023
  • Longoni, C. TBD, University of Colorado Boulder, 2023
  • Longoni, C. TBD, Swiss Academy of Marketing Science, 2023
  • Longoni, C. Consumers on the frontlines, Case Western University, 2023
  • Longoni, C. Algorithmic transference, Tulane University, 2023
  • Longoni, C. New technology, Arizona State University, 2023
  • Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government, London Business School, 2022
  • Longoni, C. AI in the government: Responses to failures, Association for Consumer Research, 2022
  • Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government, University of Southern California, 2022
  • Longoni, C. Artificial intelligence in the government: Responses to failures and social impact., 2022 ACM Conference on Artificial Intelligence, Ethics, and Society, 2022
  • Longoni, C. News from generative artificial intelligence is believed less, 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
  • Longoni, C. Levers of policy and government in digital environments, Marketing and Public Policy Conference, 2022
  • Longoni, C. Overgeneralization of failures of artificial intelligence in the government, Bocconi University, 2022
  • Longoni, C. AI and patient care, Boston School of Law, 2022
  • Longoni, C. Overgeneralization of failures of artificial intelligence in the government, Cornell University, 2022
  • Longoni, C. Digital Health: Which Roles for Patients, Professionals and Machines?, 27th Annual Conference on Intelligent User Interfaces (IUI 2022), 2022
  • Longoni, C. Artificial intelligence in the government, Society for Consumer Psychology, virtual, 2022
  • Longoni, C. Artificial intelligence in the government: Responses to failures and social impact, George Washington University, 2022
  • Longoni, C. Artificial intelligence in the government: Responses to failures and social impact, Max Planck Institute for Human Development, 2022
  • Longoni, C. Artificial Intelligence in the government: Responses to failures and social impact, Wilfrid Laurier University, 2021
  • Longoni, C. Artificial intelligence in marketing and beyond: Interdisciplinary perspectives on the social impact of AI, Association for Consumer Research, 2021
  • Longoni, C. Artificial Intelligence in hedonic and utilitarian contexts: the Word-of-Machine effect, Society for Consumer Psychology, 2021
  • Longoni, C. News from generative artificial intelligence is believed less, 2022 Association for Computing Machinery Conference on Fairness, Accountability, and Transparency, Seul, Korea
    Awards and Honors
  • 2022, 2022 Journal of Consumer Research Best Article Award
  • 2021, AMA Consumer Behavior Special Interest Group Research-in-Practice Award