A neuro-advertising property video recommendation system

Kaklauskas, Artūras; Zavadskas, Edmundas Kazimieras; Banaitis, Audrius; Meidutė‐Kavaliauskienė, Ieva; Liberman, Alvin M.; Dziţac, Simona; Ubarte, Ieva; Binkyte, A.; Cerkauskas, Justas; Kuzminske, Agne; Naumcik, Andrej

doi:10.1016/j.techfore.2017.07.011

Cited by 21 publications

(29 citation statements)

References 41 publications

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“…This research integrates Damasio's Somatic marker hypothesis (Damasio, 1994), statistical analysis (LOGIT, KNN, MBP, RBP), biometric methods and systems (Kaklauskas et al, 2018a;Kaklauskas, 2015), the neuro-questionnaire method and system (Kaklauskas et al, 2018b), and multiple criteria analysis methods and decision support systems (Kaklauskas, 2015;Kaklauskas, 2016, Kaklauskas, 1999 The INVAR Neuromarketing method and system allows stakeholders to determine: a) the effectiveness of a video ad and its individual frames; b) which video ads and frames have made the strongest impression and caused the most intense feelings; c) the effect of a video ad on the short-term and long-term memory; d) ad frames that have made viewers most happy, sad, angry, surprised, scared, disgusted, bored, interested or confused; e) the most positive or negative video ad; f) physiological states (medium breathing and heart rates, pupil sizes, facial temperature), valence and arousal when viewing brandexposing ad frames; and g) advertisements where physiological states, happiness and interest are rising/falling throughout the advertisement. The System also offers tips on ways to make video ads more effective (see Chapter 2).…”

Section: Invar Neuromarketing Methods and Systemmentioning

confidence: 99%

INVAR Neuromarketing Method and System

Kaklauskas¹,

Bučinskas²,

Vinogradova³

et al. 2019

SIC

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In recent years, the focus of marketing methods has been the user rather than advertising. A wide range of customer satisfaction surveys, post-screening answers and reviews are a staple of marketing for that purpose. In search for innovative ways to survey customer satisfaction, new concepts have emerged recently and several biometric methods and systems have been developed. This research integrates Damasio's Somatic marker hypothesis, statistical analysis, biometric systems, the neuro-questionnaire, multiple criteria analysis methods and intelligent systems. The objective of this research was to develop the .INVAR Neuromarketing method and system. The INVAR Neuromarketing method and system can determine: the effectiveness of a video ad and its individual frames; ad frames that make viewers most happy, sad, angry, surprised, scared, disgusted, bored, interested or confused; the effect of a video ad on the short-term and long-term memory; the most positive or negative video ad, etc. This article presents these studies and their results in greater detail.

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Section: Invar Neuromarketing Methods and Systemmentioning

confidence: 99%

INVAR Neuromarketing Method and System

Kaklauskas¹,

Bučinskas²,

Vinogradova³

et al. 2019

SIC

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“…Ringer et al [44] used deep learning to measure emotion of a face camera during streaming of video games; this work is restricted to highlight the generation of video games, which similarly to sports, is strongly correlated with audio energy. Kaklauskas et al [45,46] study specifically video ads, and require a plethora of hardware and human interaction to gather various physiological signals.…”

Section: Hybrid Content Techniquesmentioning

confidence: 99%

Intelligent Video Highlights Generation with Front-Camera Emotion Sensing

Meyer

Wei

Jiang

2021

Sensors

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In this paper, we present HOMER, a cloud-based system for video highlight generation which enables the automated, relevant, and flexible segmentation of videos. Our system outperforms state-of-the-art solutions by fusing internal video content-based features with the user’s emotion data. While current research mainly focuses on creating video summaries without the use of affective data, our solution achieves the subjective task of detecting highlights by leveraging human emotions. In two separate experiments, including videos filmed with a dual camera setup, and home videos randomly picked from Microsoft’s Video Titles in the Wild (VTW) dataset, HOMER demonstrates an improvement of up to 38% in F1-score from baseline, while not requiring any external hardware. We demonstrated both the portability and scalability of HOMER through the implementation of two smartphone applications.

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“…Multi-criteria decision-making methods (MCDMs) are used to help individuals or project teams to choose the best alternative, taking into account a variety of factors (Kaklauskas et al, 2018a). Selection of a plot for the construction of a single house shows a compromise among different variants.…”

Section: Literature Reviewmentioning

confidence: 99%

“…What kind of house and place to choose to improve the quality of life and not reduce it? For Lithuanians, as well as for the majority of residents of other countries, the quality housing purchased is equivalent to a successful and long-term investment (Kaklauskas et al, 2018a). A citizen who owns a land-plot for a single-family home can live in that environment for the rest of his life, and future generations often inherit it.…”

Section: Introductionmentioning

confidence: 99%

The Residence Plot Selection Model for Family House in Vilnius by Neutrosophic Waspas Method

Baušys

Juodagalvienė

Žiūrienė

et al. 2020

International Journal of Strategic Property Management

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Good quality dwelling and the environment are related to the values of citizens’ existence. It can be highlighted as important questions in creating a sustainable living environment. The research and analysis carried out so far include global planning of the plot of a particular country or city according to economic aspects. Meanwhile, our model, which covers the key social aspects of choosing a residential house, will fill this gap. We propose an original problem formulated which includes the planning of the plot of a particular city according to economic, environmental and social aspects. Our work aims to investigate the criteria for the selection of single-family houses and to develop a theoretical evaluation model based on decision-making methods. The presented study deals with the problem of selecting a one-family house plot using the Weighted Aggregate Sum Product Assessment Methods (WASPAS) and the Step-Wise Weight Assessment Ratio Analysis Method (SWARA). During the research, parameters related to plot selection were evaluated: infrastructure, distance, cost, privacy, security and aesthetic view.

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A neuro-advertising property video recommendation system

Cited by 21 publications

References 41 publications

INVAR Neuromarketing Method and System

INVAR Neuromarketing Method and System

Intelligent Video Highlights Generation with Front-Camera Emotion Sensing

The Residence Plot Selection Model for Family House in Vilnius by Neutrosophic Waspas Method

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