Enhancing Preference-based Linear Bandits via Human Response Time
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Clithero, John A., 2018. "Improving out-of-sample predictions using response times and a model of the decision process," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 344-375.
- Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2021.
"Time Will Tell: Recovering Preferences When Choices Are Noisy,"
Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1828-1877.
- Alós-Ferrer, Carlos & Fehr, Ernst & Netzer, Nick, 2021. "Time Will Tell: Recovering Preferences When Choices Are Noisy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 129(6), pages 1828-1877.
- Alós-Ferrer, Carlos & Fehr, Ernst & Netzer, Nick, 2018. "Time Will Tell: Recovering Preferences When Choices Are Noisy," IZA Discussion Papers 11918, Institute of Labor Economics (IZA).
- Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time Will Tell: Recovering Preferences when Choices Are Noisy," CESifo Working Paper Series 7333, CESifo.
- Carlos Alos-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time will tell - Recovering Preferences when Choices are Noisy," Papers 1811.02497, arXiv.org.
- Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time will tell: recovering preferences when choices are noisy," ECON - Working Papers 306, Department of Economics - University of Zurich, revised Jun 2020.
- Thomas, Armin W. & Molter, Felix & Krajbich, Ian & Heekeren, Hauke R. & Mohr, Peter N. C., 2019. "Gaze bias differences capture individual choice behaviour," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(6), pages 625-635.
- Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
- Armin W. Thomas & Felix Molter & Ian Krajbich & Hauke R. Heekeren & Peter N. C. Mohr, 2019. "Gaze bias differences capture individual choice behaviour," Nature Human Behaviour, Nature, vol. 3(6), pages 625-635, June.
- Paat Rusmevichientong & David Shmoys & Chaoxu Tong & Huseyin Topaloglu, 2014. "Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters," Production and Operations Management, Production and Operations Management Society, vol. 23(11), pages 2023-2039, November.
- Shipra Agrawal & Vashist Avadhanula & Vineet Goyal & Assaf Zeevi, 2019. "MNL-Bandit: A Dynamic Learning Approach to Assortment Selection," Operations Research, INFORMS, vol. 67(5), pages 1453-1485, September.
- Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
- Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
- S. Cerreia-Vioglio & F. Maccheroni & M. Marinacci & A. Rustichini, 2017.
"Multinomial logit processes and preference discovery: inside and outside the black box,"
Working Papers
615, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Aldo Rustichini, 2020. "Multinomial logit processes and preference discovery: inside and outside the black box," Papers 2004.13376, arXiv.org, revised Jan 2021.
- Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci, 2020. "Multinomial logit processes and preference discovery: outside and inside the black box," Working Papers 663, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Bansal, Prateek & Kim, Eui-Jin & Ozdemir, Semra, 2024. "Discrete choice experiments with eye-tracking: How far we have come and ways forward," Journal of choice modelling, Elsevier, vol. 51(C).
- Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Aldo Rustichini, 2023. "Multinomial Logit Processes and Preference Discovery: Inside and Outside the Black Box," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(3), pages 1155-1194.
- Shuo Liu & Nick Netzer, 2023.
"Happy Times: Measuring Happiness Using Response Times,"
American Economic Review, American Economic Association, vol. 113(12), pages 3289-3322, December.
- Shuo Liu & Nick Netzer, 2020. "Happy times: measuring happiness using response times," ECON - Working Papers 371, Department of Economics - University of Zurich, revised Mar 2023.
- Shuo Liu & Nick Netzer, 2023. "Happy Times: Measuring Happiness Using Response Times," CESifo Working Paper Series 10360, CESifo.
- Carlos Alós-Ferrer & Michele Garagnani, 2022.
"Strength of preference and decisions under risk,"
Journal of Risk and Uncertainty, Springer, vol. 64(3), pages 309-329, June.
- Carlos Alós-Ferrer & Michele Garagnani, 2019. "Strength of preference and decisions under risk," ECON - Working Papers 330, Department of Economics - University of Zurich, revised Feb 2022.
- Duffy, Sean & Smith, John, 2020. "An economist and a psychologist form a line: What can imperfect perception of length tell us about stochastic choice?," MPRA Paper 99417, University Library of Munich, Germany.
- Moshe Glickman & Orian Sharoni & Dino J Levy & Ernst Niebur & Veit Stuphorn & Marius Usher, 2019. "The formation of preference in risky choice," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-25, August.
- Hébert, Benjamin & Woodford, Michael, 2023.
"Rational inattention when decisions take time,"
Journal of Economic Theory, Elsevier, vol. 208(C).
- Benjamin M. Hébert & Michael Woodford, 2019. "Rational Inattention when Decisions Take Time," NBER Working Papers 26415, National Bureau of Economic Research, Inc.
- Konrad Grabiszewski & Alex Horenstein, 2022. "Profiling dynamic decision-makers," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-22, April.
- Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
- Fischbacher, Urs & Hausfeld, Jan & Renerte, Baiba, 2022.
"Strategic incentives undermine gaze as a signal of prosocial motives,"
Games and Economic Behavior, Elsevier, vol. 136(C), pages 63-91.
- Urs Fischbacher & Jan Hausfeld & Baiba Renerte, 2020. "Strategic incentives undermine gaze as a signal of prosocial motives," TWI Research Paper Series 120, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
- Aleksandr Alekseev, 2019.
"Using response times to measure ability on a cognitive task,"
Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 65-75, August.
- Aleksandr Alekseev, 2018. "Using Response Times to Measure Ability on a Cognitive Task," Working Papers 18-16, Chapman University, Economic Science Institute.
- Frederick Callaway & Antonio Rangel & Thomas L Griffiths, 2021. "Fixation patterns in simple choice reflect optimal information sampling," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-29, March.
- Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2021.
"Time Will Tell: Recovering Preferences When Choices Are Noisy,"
Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1828-1877.
- Alós-Ferrer, Carlos & Fehr, Ernst & Netzer, Nick, 2021. "Time Will Tell: Recovering Preferences When Choices Are Noisy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 129(6), pages 1828-1877.
- Alós-Ferrer, Carlos & Fehr, Ernst & Netzer, Nick, 2018. "Time Will Tell: Recovering Preferences When Choices Are Noisy," IZA Discussion Papers 11918, Institute of Labor Economics (IZA).
- Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time will tell: recovering preferences when choices are noisy," ECON - Working Papers 306, Department of Economics - University of Zurich, revised Jun 2020.
- Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time Will Tell: Recovering Preferences when Choices Are Noisy," CESifo Working Paper Series 7333, CESifo.
- Carlos Alos-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time will tell - Recovering Preferences when Choices are Noisy," Papers 1811.02497, arXiv.org.
- Carlos Alós-Ferrer & Johannes Buckenmaier, 2021.
"Cognitive sophistication and deliberation times,"
Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 558-592, June.
- Carlos Alós-Ferrer & Johannes Buckenmaier, 2018. "Cognitive sophistication and deliberation times," ECON - Working Papers 292, Department of Economics - University of Zurich, revised Apr 2019.
- Andrew Schotter & Isabel Trevino, 2021.
"Is response time predictive of choice? An experimental study of threshold strategies,"
Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 87-117, March.
- Schotter, Andrew & Trevino, Isabel, 2014. "Is response time predictive of choice? An experimental study of threshold strategies," Discussion Papers, Research Unit: Economics of Change SP II 2014-305, WZB Berlin Social Science Center.
- Nathan Kallus & Madeleine Udell, 2020. "Dynamic Assortment Personalization in High Dimensions," Operations Research, INFORMS, vol. 68(4), pages 1020-1037, July.
- Kris Johnson Ferreira & Joel Goh, 2021. "Assortment Rotation and the Value of Concealment," Management Science, INFORMS, vol. 67(3), pages 1489-1507, March.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2024-10-14 (Discrete Choice Models)
- NEP-ECM-2024-10-14 (Econometrics)
- NEP-UPT-2024-10-14 (Utility Models and Prospect Theory)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2409.05798. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.