scholarly journals Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior

2020 ◽  
Vol 30 (1) ◽  
pp. 3-19
Author(s):  
John Buckell ◽  
David A Hensher ◽  
Stephane Hess
Keyword(s):  
Choice Model ◽  
Smoking Behavior ◽  
Model Investigation ◽  
Hybrid Choice Model

scholarly journals The role of intention as mediator between latent effects and behavior: application of a hybrid choice model to study departure time choices

2017 ◽  
Vol 46 (4) ◽  
pp. 1421-1445 ◽  
Author(s):  
Mikkel Thorhauge ◽  
Elisabetta Cherchi ◽  
Joan L. Walker ◽  
Jeppe Rich
Keyword(s):  
Choice Model ◽  
Departure Time ◽  
Latent Effects ◽  
And Behavior ◽  
Hybrid Choice Model

The Role of Education in the Production of Health: An Empirical Analysis of Smoking Behavior

2008 ◽  
Author(s):  
Steven Tenn ◽  
Douglas A. Herman ◽  
Brett W. Wendling
Keyword(s):  
Empirical Analysis ◽  
Smoking Behavior

scholarly journals How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model

2021 ◽  
Vol 143 ◽  
pp. 110896 ◽  
Author(s):  
B. Salak ◽  
K. Lindberg ◽  
F. Kienast ◽  
M. Hunziker
Keyword(s):  
Renewable Energy ◽  
Choice Model ◽  
Energy Infrastructure ◽  
Hybrid Choice Model

scholarly journals Role of tobacco exposure in the course of COVID‐19 disease and the impact of the disease on smoking behavior

2021 ◽  
Author(s):  
Tahsin Gökhan Telatar ◽  
Dilek Karadoğan ◽  
Mehmet Halit Baykal ◽  
Burcu Aykanat Yurtsever
Keyword(s):  
Smoking Behavior ◽  
Tobacco Exposure ◽  
The Impact

scholarly journals Mice tune out not in: Violation of prediction drives auditory saliency

2019 ◽  
Author(s):  
Meike M. Rogalla ◽  
Inga Rauser ◽  
Karsten Schulze ◽  
Lasse Osterhagen ◽  
K Jannis Hildebrandt
Keyword(s):  
Auditory Processing ◽  
Choice Model ◽  
Short Term ◽  
Probabilistic Choice ◽  
Auditory Detection ◽  
Irrelevant Distractors ◽  
Serial Correlations ◽  
Low Probability ◽  
Psychophysical Studies

SummarySuccessful navigation in complex acoustic scenes requires focusing on relevant sounds while ignoring irrelevant distractors. It has been argued that the ability to track stimulus statistics and generate predictions supports the choice what to attend and what to ignore. However, the role of these predictions about future auditory events in drafting decisions remains elusive. While most psychophysical studies in humans indicate that expected stimuli serve as implicit cues attracting attention, most work studying physiological auditory processing in animals highlights the detection of unexpected, surprising stimuli. Here, we tested whether in the mouse, target probability is used as an implicit cue attracting attention or whether detection is biased towards low-probability deviants using an auditory detection task. We implemented a probabilistic choice model to investigate whether a possible dependence on stimulus statistics arises from short term serial correlations or from integration over longer periods. Our results demonstrate that target detectability in mice decreases with increasing probability, contrary to humans. We suggest that mice indeed track probability over a time scale of at least several minutes but do not use this information in the same way as humans do: instead of maximizing reward by focusing on high-probability targets, the saliency of a target is determined by surprise.

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