Relevant bibliographies by topics / Time-Dependent preference

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Time-Dependent preference'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Time-Dependent preference"

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Toure, M. Wyatt, Fletcher J. Young, W. Owen McMillan, and Stephen H. Montgomery. "Heliconiini butterflies can learn time-dependent reward associations." Biology Letters 16, no. 9 (September 2020): 20200424. http://dx.doi.org/10.1098/rsbl.2020.0424.

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For many pollinators, flowers provide predictable temporal schedules of resource availability, meaning an ability to learn time-dependent information could be widely beneficial. However, this ability has only been demonstrated in a handful of species. Observations of Heliconius butterflies suggest that they may have an ability to form time-dependent foraging preferences. Heliconius are unique among butterflies in actively collecting pollen, a dietary behaviour linked to spatio-temporally faithful ‘trap-line' foraging. Time dependency of foraging preferences is hypothesized to allow Heliconius to exploit temporal predictability in alternative pollen resources. Here, we provide the first experimental evidence in support of this hypothesis, demonstrating that Heliconius hecale can learn opposing colour preferences in two time periods. This shift in preference is robust to the order of presentation, suggesting that preference is tied to the time of day and not due to ordinal or interval learning. However, this ability is not limited to Heliconius , as previously hypothesized, but also present in a related genus of non-pollen feeding butterflies. This demonstrates time learning likely pre-dates the origin of pollen feeding and may be prevalent across butterflies with less specialized foraging behaviours.
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Chu, Hsun, Ching-chong Lai, and Chih-hsing Liao. "A NOTE ON ENVIRONMENT-DEPENDENT TIME PREFERENCES." Macroeconomic Dynamics 20, no. 6 (April 16, 2015): 1652–67. http://dx.doi.org/10.1017/s1365100514000960.

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In this paper we investigate the growth effect of environmental taxes when time preference is endogenously determined by environmental quality. We find that if people become more patient because of a cleaner environment, raising the environmental tax may reduce pollution and stimulate growth. Moreover, the Pigouvian principle may be inefficient in the presence of endogenous time preference.
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Trope, Yaacov, and Nira Liberman. "Temporal construal and time-dependent changes in preference." Journal of Personality and Social Psychology 79, no. 6 (2000): 876–89. http://dx.doi.org/10.1037/0022-3514.79.6.876.

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Chen, Shou, and Guangbing Li. "Time-Inconsistent Preferences, Retirement, and Increasing Life Expectancy." Mathematical Problems in Engineering 2019 (January 10, 2019): 1–9. http://dx.doi.org/10.1155/2019/8681471.

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We study consumption behavior, retirement decisions, and endogenous growth within a dynamic equilibrium when individuals have present-biased preferences. Compared to individual with exponential preferences, individual with hyperbolic preferences will choose to retire early for present-biased preferences but to delay retirement for the initial time preference rate. We extend the benchmark equilibrium model to age-dependent survival law and solve numerically the equilibrium effects. It shows that, at the same age, the consumption-capital ratio may have slightly positive effect on increasing life expectancy before retirement but has a significantly positive effect on it after retirement.
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Lin, Chaonan, Hong-Yi Chen, Kuan-Cheng Ko, and Nien-Tzu Yang. "Time-dependent lottery preference and the cross-section of stock returns." Journal of Empirical Finance 64 (December 2021): 272–94. http://dx.doi.org/10.1016/j.jempfin.2021.09.005.

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Baucells, Manel, and Lin Zhao. "Everything in Moderation: Foundations and Applications of the Satiation Model." Management Science 66, no. 12 (December 2020): 5701–19. http://dx.doi.org/10.1287/mnsc.2019.3505.

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Models in which current utility depends solely on current consumption (a.k.a. time-separable preferences) are widely acknowledged to be unrealistic, especially when attempting to describe preferences over consumption rates. Alternatively, one may stipulate that instant utility also depends on a state, for example, some stock of past consumption. Escaping the gravitational pull of time separability, however, is difficult because (1) the behavioral axioms that characterize the state and the instant utility are not known, (2) how to elicit the preference parameters—most notably the initial level of the state and the decay rate—is not known, and (3) managerial applications where state-dependent preferences produce interesting insights and solutions are scarce. This paper makes advances on these three fronts by proposing a novel set of axioms that characterize the satiation model, a proof of concept on how to elicit all preference parameters using consumption rates, and a mixed-integer linear formulation to solve the optimal design of experiential services under satiation. Our preferences introduce a de-satiation motive, absent in separable preferences, and we explore how to optimally manage this motive. This paper was accepted by David Simchi-Levi, decision analysis.
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Cirillo, Cinzia, Yan Liu, and Michael Maness. "A time-dependent stated preference approach to measuring vehicle type preferences and market elasticity of conventional and green vehicles." Transportation Research Part A: Policy and Practice 100 (June 2017): 294–310. http://dx.doi.org/10.1016/j.tra.2017.04.028.

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Gecu, Zeynep, and Kursat Cagiltay. "Mental Rotation Ability and Computer Game Experience." International Journal of Game-Based Learning 5, no. 4 (October 2015): 15–26. http://dx.doi.org/10.4018/ijgbl.2015100102.

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Computer games, which are currently very popular among students, can affect different cognitive abilities. The purpose of the present study is to examine undergraduate students' experiences and preferences in playing computer games as well as their mental rotation abilities. A total of 163 undergraduate students participated. The results showed a significant difference between students' mental rotation abilities in terms of their experiences and preferences in playing computer games. Moreover, 2D or 3D computer game preference was shown to be dependent on gender. This study also explores the quantity of time spent by undergraduate students playing computer games.
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Sen, Rohini, Alan L. Shields, and Koichiro Atsuda. "Patient Preference for Once-Weekly Dosing in Type 2 Diabetes Mellitus in Japan." Journal of Health Economics and Outcomes Research 4, no. 1 (March 18, 2016): 55–66. http://dx.doi.org/10.36469/9826.

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Background: Among several factors that impair adherence to available therapies in type 2 diabetes mellitus (T2DM) is the complexity of the dosing regimen. Moreover, the value of a once-weekly (QW) administration of oral medications for T2DM compared to once, twice, or thrice daily (QD, BID, TID) regimens is unclear. This study aims to identify subgroups and patient characteristics correlated with a preference for QW dosing compared to daily dosing using survey-based methods. Methods: This was a cross-sectional online survey study among patients with T2DM in Japan. Patients with T2DM were categorized into one of the three groups: (1) patients on treatment with oral hypoglycemic agent(s) only, (2) patients on combination treatment with oral hypoglycemic agent(s) and insulin, and (3) patients diagnosed with or suspected to have T2DM with no current or past experience with T2DM drug treatment (treatment naïve). Preliminary logistic regressions and classification and regression tree analysis (QW/QD dosing preferences as the dependent variable) were conducted to identify key predictors of dosing preference, followed by an evaluation of frequencies and trends in dosing preferences by the identified factors (subgroups). Results: Current treatment regimen, age, and work status were identified as the major demographic factors that were most predictive of QW preference. While, overall, 55.5% preferred QD and 33.3% preferred QW, the preference toward QW is higher in a specific cohort of patients that is treatment naïve (i.e., patients diagnosed with T2DM and/on diet/exercise therapy with no current or past experience with T2DM drug treatment) than who are on treatment, younger (age ≤64 years old), working full-time than part-time, and/or currently taking 0 or 1 drugs or more than 6 drugs (68.67% versus 30.12%). The most commonly cited reasons for QW preference were (1) “less burdensome because they didn’t have to take it every day” (47.8%), (2) “less psychological burden” (14.6%), and (3) “forget to take it less often”(12.5%). Conclusion: Patients with T2DM vary in terms of preference for dosing regimens. Daily dosing was preferred over QW dosing in the overall population, however, preference for QW was higher in younger, full-time working, treatment naïve subjects, who are/or currently taking 0 or 1 drugs or more than 6 drugs.
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Lubbers, Bart R., Mariana R. Matos, Annemarie Horn, Esther Visser, Rolinka C. Van der Loo, Yvonne Gouwenberg, Gideon F. Meerhoff, et al. "The Extracellular Matrix Protein Brevican Limits Time-Dependent Enhancement of Cocaine Conditioned Place Preference." Neuropsychopharmacology 41, no. 7 (December 29, 2015): 1907–16. http://dx.doi.org/10.1038/npp.2015.361.

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Dissertations / Theses on the topic "Time-Dependent preference"

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Gao, Liping. "Efficient approaches for large-scale time-dependent route planning problems with traveler's preference." Electronic Thesis or Diss., université Paris-Saclay, 2023. https://www.biblio.univ-evry.fr/theses/2023/interne/2023UPASG084.pdf.

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La planification d'itinéraires en fonction du temps dans les réseaux du monde réel reste aujourd'hui un défi majeur. De plus, les voyageurs peuvent avoir simultanément de multiples préférences telles que le temps de trajet, la beauté des paysages, la sécurité et les faibles émissions de carbone. Avec le développement des infrastructures et les progrès des technologies de l'information, diverses données spatio-temporelles qui enregistrent les interactions entre les humains et le monde cyber-physique peuvent être collectées et utilisées pour concevoir la planification d'itinéraires en fonction des préférences des voyageurs. Cependant, la plupart des recherches se concentrent sur la recherche du chemin le plus court dans un réseau dépendant du temps. En particulier, 1) certains travaux se concentrent sur l'optimisation du score de préférence total du voyageur, mais proposent uniquement un modèle non linéaire qui ne peut être abordé efficacement ; 2) peu de travaux étudient les problèmes de planification d'itinéraires multi-objectifs dépendant du temps, dans lesquels le score de préférence du voyageur est supposé in- changé. Cependant, les préférences du voyageur peuvent varier avec le temps ; 3) des travaux récents étudient les problèmes de planification d'itinéraires axés sur les groupes, mais considèrent que le temps de trajet et les préférences des voyageurs ne varient pas dans le temps. Afin de réduire les écarts entre la théorie et la pratique, trois nouveaux problèmes de planification d'itinéraires dépendant du temps en prenant compte des préférences du voyageur (TRPPs-TP) sont étudiés dans cette thèse.Premièrement, un TRPP-TP à objectif unique est étudié dans la mesure où le score de préférence sur les segments routiers est supposé dépendre du temps. L'objectif est de maximiser le score de préférence total. Pour le problème, un modèle de programmation linéaire en nombres entiers est proposé et la complexité NP-difficile du problème est analysée. Pour résoudre le problème efficacement, une nouvelle méthode en deux phases est développée. Des expériences numériques sur des réseaux routiers générés aléatoirement et sur des réseaux routiers réels démontrent la supériorité de la méthode développée.Deuxièmement, un TRPP-TP bi-objectif avec un score de préférence dépendant du temps est étudié. Le premier objectif est de maximiser le score de préférence total, et le second est de minimiser le temps de trajet total. Pour résoudre ce problème, un modèle de programmation linéaire en nombres entiers est formulé. Pour résoudre le problème, une méthode de epsilon-contrainte exacte est appliquée pour trouver le front de Pareto sur des instances de petite taille. Pour gérer des instances de grande taille, un algorithme génétique de tri non dominé spécifique à un problème-II (NSGA-II) est développé. En particulier, un nouveau codage basé sur la région est conçu et une condition d'itinéraire réalisable est fournie pour trouver des solutions quasi optimales dans un temps de calcul raisonnable. Des expériences sur des réseaux routiers générés aléatoirement et sur des réseaux routiers réels démontrent les performances du NSGA-II proposé.Enfin, un TRPP-TP bi-objectif éco-responsable et orienté groupe est abordé. Le premier objec- tif est de maximiser le score total de préférence des voyageurs et le second est de minimiser les émissions totales de CO2. Pour ce problème, un nouveau modèle de programmation linéaire en nombres entiers est proposé, et une méthode de epsilon-contrainte est utilisée. Des expérimentations numériques sur des réseaux routiers générés aléatoirement sont menées afin de trouver les meilleures solutions d'équilibrage
Time-dependent route planning in real-world networks is still a big challenge today. In addition, travelers may have multi-preferences such as travel time, beautiful scenery, safety, and low carbon, simultaneously. With the development of infrastructures and the advancement of information technology, various spatio-temporal data that record the interactions between humans and the cyber-physical world can be collected and used to design traveler's preference-driven route planning. However, most of research focuses on finding the shortest path in a time-dependent network. In particular, 1) some works focus on optimizing the total traveler's preference score, but only propose a non-linear model that cannot be efficiently addressed; 2) few works investigate multi-objective time-dependent route planning problems, in which traveler preference score is assumed to be unvarying. However, traveler preference can vary with time; 3) recent works study group-oriented route planning problems, but consider the travel time and traveler preference to be time-unvarying. To reduce theory and practice gaps, three new time-dependent route planning problems with traveler's preference (TRPPs-TP) are investigated in this thesis.Firstly, a single-objective TRPP-TP is investigated in that the preference score on road segments is assumed to be time-dependent. The objective is to maximize the total preference score. For the problem, an integer linear programming model is proposed, and the NP-hard complexity of the problem is analyzed. To address the problem efficiently, a novel two-phase method is developed. Numerical experiments on randomly generated road networks and real-world road networks demonstrate the superiority of the developed method.Secondly, a bi-objective TRPP-TP with the time-dependent preference score is studied. The first objective is to maximize the total preference score, and the second one is to minimize the total travel time. For the problem, an integer linear programming model is formulated. For the problem, an exact epsilon-constraint method is applied to find the Pareto front on small-sized instances. To handle large-sized instances, an efficient problem-specific non-dominated sorting genetic algorithm-II (NSGA-II) is developed. Especially, a new region-based coding is designed and a feasible route condition is provided to find near-optimal solutions in a reasonable computation time. Experiments on randomly generated road networks and real-world road networks demonstrate the performance of the proposed NSGA-II.Finally, a bi-objective eco-friendly group-oriented TRPP-TP is addressed. The first objective is to maximize the total traveler preference score and the second one is to minimize the total CO2 emissions. For this problem, a new integer linear programming model is proposed, and an epsilon-constraint method is used. Numerical experiments on randomly generated road networks are conducted to find the best balancing solutions
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Books on the topic "Time-Dependent preference"

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Abellan, Jose Maria, Carmen Herrero, and Jose Luis Pinto. QALY-Based Cost-Effectiveness Analysis. Edited by Matthew D. Adler and Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.8.

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This chapter introduces the main ideas about the use of quality-adjusted life years (QALYs) in the evaluation of health policies. It starts by explaining the theoretical underpinnings of the QALY model understood as individual utilities. Afterward, it reviews the empirical evidence about the descriptive validity of the main assumptions supporting the model. Then, it explains the main preference elicitation techniques (visual analog scale, time trade-off, and standard gamble). It also shows the practical psychological problems faced by these techniques, such as the existence of context-dependent preferences. The chapter ends by explaining how QALYs are used in priority setting, in particular, the rules governing resources allocation decisions using QALYs, the ethical implications of these rules, and the relationship between cost-benefit analysis and cost-effectiveness analysis.
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Book chapters on the topic "Time-Dependent preference"

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Baum, Moritz, Julian Dibbelt, Thomas Pajor, and Dorothea Wagner. "Dynamic Time-Dependent Route Planning in Road Networks with User Preferences." In Experimental Algorithms, 33–49. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38851-9_3.

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Davies, Derek C., and Bryan D. Youngt. "Chromosome analysis and sorting by flow cytometry." In Flow Cytometry, 189–202. Oxford University PressOxford, 2000. http://dx.doi.org/10.1093/oso/9780199638253.003.0012.

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Abstract Many types of cancer and genetic disease are characterized by chromosomal abnormalities. These can be detected by conventional cytogenetics, which involves photographing banded chromosomes on metaphase spreads. Although this is a widely used technique in haematology, oncology, and pre-natal diagnosis, it is a time-consuming process that relies heavily on the skill and experience of the cytogeneticist. In addition, in cancerous cells, the sometimes complex karyotypes encountered mean that such analysis is often extremely difficult. An alternative approach is to prepare a monodispersed suspension of chromosomes, stain with one or two fluorescent DNA dyes, and pass them through a flow cytometer. The intensity of the fluorescence signal from each chromosome is recorded, the values being dependent on their DNA content. In single-colour analysis, a non-base-specific dye such as ethidium bromide is used. Accumulating data from 50000 chromosomes and presenting this as a histo gram of fluorescence intensity produces a distinctive species-specific pattern of peaks. However, not all chromosomes appear as a single peak. An improvement is to use bivariate analysis that exploits the base-pair binding preferences of DNA specific dyes: usually Hoechst 33258 (which has an adenine/thymidine (AT) binding preference) in combination with chromomycin A3 (which has a guanine/cytosine (GC) binding preference). The intensity of staining with these fluorochromes is dependent not only on the DNA content but also on the base composition of each chromosome. The data accumulated can be presented as an isometric plot or, better, as a dot plot or contour map (see Figure 1). The bivariate plot resolves all the human chromosomes as separate peaks, with the exception of chromosomes 9, 10, 11, and 12.
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Böckenholt, Ulf. "Modeling Time-Dependent Preferences." In Visualization of Categorical Data, 461–75. Elsevier, 1998. http://dx.doi.org/10.1016/b978-012299045-8/50035-8.

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Coolbear, Tim, Nathalie Janin, Rachel Traill, and Rebecca Shingleton. "Sensory properties of milk: understanding and analysis." In Understanding and improving the functional and nutritional properties of milk, 557–92. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2022.0099.17.

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Quality fresh milk is generally described by consumers familiar with the milk type as quite mild flavoured, with core creamy and sweet notes and a smooth, relatively rich mouthfeel. There are flavour differences that are species-specific, but these are overlaid within and between species by flavours that are determined mainly from the feed stock, the nature of which can vary widely through the seasons of the year. Preservation technologies and storage also add to the complexities of the flavour profiles of liquid milk in a time dependent manner. Depending on consumer familiarity and expectations, these flavour differences can be appreciated and desired, or can be deemed off-flavours or defects. There is a wide range of methods available for the sensory analysis of milk, both with trained panels that provide quantitative data on the sensory characteristics and the intensities of the attributes, and with consumers who provide preference and acceptance data.
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Trope, Yaacov, and Nira Liberman. "Temporal Construal Theory of Time-Dependent Preferences." In The Psychology of Economic Decisions, 235–50. Oxford University PressOxford, 2003. http://dx.doi.org/10.1093/oso/9780199251063.003.0012.

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Abstract For more than a century, questions about the psychological consequences of time perspective have provided the impetus for a large amount of research in the behavioral sciences (see review by Loewenstein, 1993). This research has been conducted by investigators across different disciplines, including psychology (e.g., Ainslie, 1975; Ainslie and Haslam, 1992;
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Cang, Jianhua, and Adema Ribic. "Critical Period Plasticity and Development of Binocular Vision." In The Cerebral Cortex and Thalamus, edited by Chinfei Chen, 536–44. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197676158.003.0051.

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Abstract The cortical circuits underlying binocular vision are established in an experience-dependent manner during critical periods of early life. Binocular development and critical period plasticity are most commonly studied by examining changes of ocular dominance in response to visual deprivation during early postnatal development (i.e., ocular dominance plasticity). These studies have identified the vital role of balanced visual input in structural and functional development of the primary visual cortex (V1), as well as molecular, synaptic, and circuit mechanisms that regulate the onset and closure of the critical period for ocular dominance plasticity. Binocular V1 neurons are further tuned to similar orientations through the 2 eyes and are selective for certain disparities between the 2 eyes’ input, a property important for computing stereoscopic depth. Interocular matching of orientation preference and development of disparity selectivity require normal visual experience and take place in time windows that are similar but not identical to the critical period of ocular dominance plasticity. This chapter reviews current understandings of the developmental mechanisms underlying all 3 measures of binocular vision. The authors focus the discussion on general concepts of binocular development, as well as significant gaps and opportunities for future studies.
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Ay, Cihan, and Florian Posch. "Management of pulmonary embolism in patients with cancer." In ESC CardioMed, 2790–94. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0666.

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Pulmonary embolism (PE) is a frequent complication in patients with cancer. Clinicians have to maintain a high index of suspicion to reduce the large proportion of PEs that remain undiagnosed in the cancer population. Thrombolysis is not a standard treatment for haemodynamically unstable patients with cancer-associated PE because the risk of haemorrhage can be excessive. Anticoagulation with a low-molecular-weight heparin (LMWH) for at least 6 months is the current standard of care for the treatment of cancer-associated PE, while vitamin K antagonists are a reasonable second choice for patients with contraindications against LMWH or a strong preference towards an oral agent. Although an indirect network meta-analysis suggests that non-vitamin K-dependent oral anticoagulants may be comparably efficacious and safe as LMWH for treating PE in cancer patients, these agents cannot be recommended as a standard first-line treatment at this time because a head-to-head comparison to the standard of care has not yet been reported. Anticoagulation beyond 6 months is an emerging concept; however, the patient population that may benefit from this intervention still needs to be defined. Guidance statements facilitate the management of challenging patients with brain metastases, unsuspected PE, thrombocytopenia, and recurrent PE.
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de Almeida, Giovana Goretti Feijó, and Paulo Almeida. "Territorial Brand as Strategy in Competitiveness Between Tourist Destinations." In Cases on Traveler Preferences, Attitudes, and Behaviors, 33–53. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6919-4.ch002.

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The objective of this study is to understand how the territorial brand has been used in the competitiveness of tourist destinations. The method adopted is a systematic literature review with an exploratory-descriptive approach. Research findings address the relationships between territorial brand and destination image that are independent and, at a certain point over time, become co-dependent. Research is original in that it analyzes, as a background, the dependence, co-dependence, or their absence among the investigated constructs. Tourism is an interdisciplinary and multidisciplinary area, according to the conclusion, and tourism research helps in understanding the processes involved and their implications for the territory on both a global and local scale.
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Gintis, Herbert. "Decision Theory and Human Behavior." In The Bounds of Reason. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691160849.003.0001.

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This chapter begins by describing the beliefs, preferences, and constraints (BPC) model of the rational actor. It develops a set of behavioral properties that together will ensure the modeling of agents as maximizers of preferences. It then explains the existence time inconsistency and its importance in modeling human behavior. This is followed by discussions of Bayesian rationality and subjective priors, and how preferences are state dependent. The chapter argues that the rational actor model in general, and the expected utility principle in particular, are acceptably accurate as a basis of modeling behavior in most situations. However, there are well established situations in which individuals violate, or at least appear to violate, these principles. It goes on to review the most challenging of these apparent violations of decision–theoretic rationality.
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Bahramian, Zahra, Rahim Ali Abbaspour, and Christophe Claramunt. "Toward Geospatial Collaborative Tourism Recommender Systems." In GIS Applications in the Tourism and Hospitality Industry, 212–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5088-4.ch010.

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Tourism activities are highly dependent on spatial information. Finding the most interesting travel destinations and attractions and planning a trip are still open research issues to GIScience research applied to the tourism domain. Nowadays, huge amounts of information are available over the world wide web that may be useful in planning a visit to destinations and attractions. However, it is often time consuming for a user to select the most interesting destinations and attractions and plan a trip according to his own preferences. Tourism recommender systems (TRSs) can be used to overcome this information overload problem and to propose items taking into account the user preferences. This chapter reviews related topics in tourism recommender systems including different tourism recommendation approaches and user profile representation methods applied in the tourism domain. The authors illustrate the potential of tourism recommender systems as applied to the tourism domain by the implementation of an illustrative geospatial collaborative recommender system using the Foursquare dataset.
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Conference papers on the topic "Time-Dependent preference"

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Tantai, Xinyue. "The analysis of space junk clean-up program based on Fuzzy preference decision time-dependent model based on entropy weight and ameliorative AHP." In 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceeecs-16.2016.71.

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Cao, Huai, Xiuling Wang, and Kaixuan He. "Influence Mechanism of Air Humidifier Product Color and Shape on User Preference Based on Eye Tracking." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001704.

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Eye tracking realizes the tracking of eye movement by tracking the position of the eye's gaze point or the movement trajectory of the eyeball. It objectively shows the user's real experience of a certain product in a scientific experimental way; according to the literature, the eye The research and application of motion tracking technology in air humidifiers are few; based on this, this article takes air humidifier products as the research object, and through the method of eye movement test experimental psychology, the influence mechanism of color and shape in the field of humidifier products Conduct research to measure the user experience of consumers. Based on the eye movement method, we will conduct experimental research. The independent variables are the different colors and shapes of the air humidifier products. Dependent variables include first fixation time, first fixation duration, total fixation time, second fixation time and subjective evaluation. It is estimated that X subjects will participate in the experimental test. Through the test data analysis of the subjects, this research mainly explores the following conclusions: (1) Whether the different colors of the air humidifier products can cause significant differences in the eye movements of users (2) Whether the shape of the air humidifier product causes a significant difference to the user's eye movement attention. In addition, this research provides a reference value method for consumer decision-making for industrial design optimization in related product fields; based on quantitative analysis of eye tracking technology, explores user experience, so as to better grasp the visual preferences of target consumers and clarify products Design, development and upgrade direction, accurate market positioning.
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Wu, Bing, Xinping Yan, and Yang Wang. "Dynamic Decision-Making Model for Traffic Organization Within Traffic Separation Scheme During Maritime Accident Process." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54616.

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The traffic organization within traffic separation scheme can be generally treated as a trade-off between shipping efficiency and maritime safety. As the maritime accident development is widely accepted as a process including initiating event, mid-event and end event, the traffic organization during this process should not only consider the current situation but also the future situation. In order to address this problem, a dynamic decision-making method, where time is treated as dependent, is proposed in this paper. The kernel of the proposed approach is to analyze the sequence of accident using event tree, to establish a dynamic decision-making method with decision matrix of multiple states, and to make final decision by introducing Technique for Order Preference by Similarity to an Ideal Solution. The result is also compared with the traditional time independent decision-making, which makes decisions only with the current data. Consequently, the dynamic decision-making method can make a comprehensive and feasible solution to traffic organization during maritime accident process.
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Hatami, Mohammad, Markus Leinonen, and Marian Codreanu. "Online Caching Policy with User Preferences and Time-Dependent Requests: A Reinforcement Learning Approach." In 2019 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2019. http://dx.doi.org/10.1109/ieeeconf44664.2019.9048832.

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Pandey, Vijitashwa, and Zissimos P. Mourelatos. "Decision-Based Design Using Time-Varying Preferences Represented by Stochastic Processes." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70558.

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Soliciting and expressing the preferences of a decision maker in engineering design is critical. In general, the preferences vary through time, complicating the design of engineering systems. In this article, we propose that if parameterized utility functions are used to model the preferences, the time-varying characteristics of the parameters can provide valuable information on the likely decisions the decision maker can make at a future time. To model the time-dependent uncertainty in preferences, we use parameterized utility functions with the parameters characterized by stochastic processes and demonstrate how the design process is affected by stationarity properties of the random parameters. We work in the normative utility theoretic domain and show a property of the multiplicative utility function that allows us to use the common Black-Scholes-Merton options pricing model from finance, to account for variability in preferences with time. Finally, we discuss how to modify the design process so that optimal products are ready when there is a future need for them. The applicability of our approach is demonstrated using a cell phone example.
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Hason, B., and Y. Y. Zeevi. "Interaction between lateral and eccentricity-dependent preferences in saccadic responses." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.fq3.

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Eye movement responses to dual targets provide insight into mechanisms of visual information acquisition. It was previously shown1 that symmetric point targets stimulating both hemispheres require extra processing time compared to either a single or a dual unidirectional stimulus. These so-called bifurcating point stimuli reveal the existence of preferred lateral direction. We substantiate and refine these results incorporating the effects of eccentricity. In the case of a unidirectional dual target an absolute preference exists for the target closer to the fovea. Responses to asymmetric bihemifield stimuli show that the lateral direction preference is contingent on target eccentricities. Being close to the fovea enchances, whereas being away from the fovea inhibits, the preference level of the point target. If one of the points is delayed, the overall lateral, spatial, and temporal preferences determine the response direction. At large interpoint delays for which the second point is still the preferred one, the response time measured with respect to the onset of this target is much shorter than the average latency. We propose a stochastic model accounting for the temporal aspect of our observations. Each point stimulus is processed in a separate channel in two stages, the first providing a general intermediate output utilizable in the processing of any additional input. Interaction between opposite hemispheric channels results in longer response duration due to the second stage processing time. The model reproduces the timing of events in responses to dual targets.
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Wu, Peizhi, Yi Tu, Xiaojie Yuan, Adam Jatowt, and Zhenglu Yang. "Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/226.

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Modeling the evolution of user feedback and social links in dynamic social networks is of considerable significance, because it is the basis of many applications, including recommendation systems and user behavior analyses. Most of the existing methods in this area model user behaviors separately and consider only certain aspects of this problem, such as dynamic preferences of users, dynamic attributes of items, evolutions of social networks, and their partial integration. This work proposes a comprehensive general neural framework with several optimal strategies to jointly model the evolution of user feedback and social links. The framework considers the dynamic user preferences, dynamic item attributes, and time-dependent social links in time evolving social networks. Experimental results conducted on two real-world datasets demonstrate that our proposed model performs remarkably better than state-of-the-art methods.
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Li, Chang, and Maarten de Rijke. "Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/396.

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Non-stationarity appears in many online applications such as web search and advertising. In this paper, we study the online learning to rank problem in a non-stationary environment where user preferences change abruptly at an unknown moment in time. We consider the problem of identifying the K most attractive items and propose cascading non-stationary bandits, an online learning variant of the cascading model, where a user browses a ranked list from top to bottom and clicks on the first attractive item. We propose two algorithms for solving this non-stationary problem: CascadeDUCB and CascadeSWUCB. We analyze their performance and derive gap-dependent upper bounds on the n-step regret of these algorithms. We also establish a lower bound on the regret for cascading non-stationary bandits and show that both algorithms match the lower bound up to a logarithmic factor. Finally, we evaluate their performance on a real-world web search click dataset.
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