scholarly journals Associative Relevance Based Eye Fixations Enhance Decision Making Processes in Scene Perception

2016 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Gufran Ahmad
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Eye Tracking ◽  
Scene Perception ◽  
Cognitive Dynamics ◽  
Movement Data ◽  
Business Applications ◽  
Eye Fixations ◽  
Decision Making Processes

<p>Recent research studies on eye movements in area of information processing task, such as scene perception have magnificently advanced towards understandings of underlying visual perception mechanism and human cognitive dynamics. Besides, business applications of eye tracking are unceasingly revealing innovative trends based on pragmatic scenarios. In this study, we conducted a number of eye tracking experiments to establish our hypothesis that the eye fixations based on the associative relevance found within the contexts of scenes during scene perception significantly bettered the processes of decision-making. The collected eye movement data from participants who viewed artistic scenes discovered that the tracks of eye fixations traversed along the existing associative relevance among the elements of scenes for decision-making processes. These experimental evidences confirmed our hypothesis that the associative relevance based eye fixations enhanced decision-making processes in scene perception.</p>

scholarly journals Eye Gazes Based on Associative Relevance Assist in Decision Making Processes during Scene Perception

2016 ◽  
Vol 8 (2) ◽  
pp. 74
Author(s):  
Gufran Ahmad
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Visual Perception ◽  
Eye Tracking ◽  
Scene Perception ◽  
Cognitive Dynamics ◽  
Movement Data ◽  
Business Applications ◽  
Decision Making Processes

<p>Research studies on eye movements in area of information processing task, such as scene perception have recently advanced towards understandings of underlying visual perception mechanism and human cognitive dynamics. Besides, business applications of eye tracking are endlessly revealing groundbreaking trends based on practical scenarios. In this study, we conducted a number of eye tracking experiments to establish our hypothesis that the eye gazes based on the associative relevance found within the contexts of scenes during scene perception significantly supported the processes of decision making. The collected eye movement data from participants who viewed artistic scenes discovered that the tracks of eye gazes traversed along the existing associative relevance among the elements of scenes for decision making processes. These experimental evidences confirmed our hypothesis that the eye gazes based on associative relevance assisted in decision making processes during scene perception.</p>

scholarly journals Visual Focus of Attention Actively Associates Relevancy in Eye Movements

2015 ◽  
Vol 3 (2) ◽  
pp. 209
Author(s):  
Gufran Ahmad
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Social Economic ◽  
Tracking System ◽  
Underlying Mechanism ◽  
Focus Of Attention ◽  
Movement Data ◽  
Business Applications ◽  
Human Eye Movements

<p><em>Advancements in the studies of eye movements have excelled beyond frontiers and transited into the phase of next generation splendidly. The business applications, like online shopping, advertisement, web designing, search engine optimization, of eye movement studies in real world scenarios have started to dominate as well. Tracking of eye movements can communicate the underlying mechanism of visual perception and dynamics of humans’ cognition that are of prime concerns for a number of social, economic, and scientific purposes. In this study, we conducted a series of eye tracking experiments to verify our hypothesis that during human eye movements, the visual focus of attention dynamically associated relevant constituents of artistic portrait. We collected the eye movement data of participants who regarded artistic portraits during active viewing. The trails produced from eye tracking system during portrait viewing traced connected focuses of attention in eye movements based on relevancy in visual contexts. These experimental facts validated the hypothesis that visual focus of attention actively associated relevancy in eye movements.</em></p>

scholarly journals Automated Filtering of Eye Movements Using Dynamic AOI in Multiple Granularity Levels

2021 ◽  
Vol 12 (1) ◽  
pp. 49-64
Author(s):  
Gavindya Jayawardena ◽  
Sampath Jayarathna
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Eye Gaze ◽  
Movement Analysis ◽  
Movement Data ◽  
Bounding Boxes ◽  
Multiple Granularity ◽  
Instance Segmentation ◽  
Segmentation Models

Eye-tracking experiments involve areas of interest (AOIs) for the analysis of eye gaze data. While there are tools to delineate AOIs to extract eye movement data, they may require users to manually draw boundaries of AOIs on eye tracking stimuli or use markers to define AOIs. This paper introduces two novel techniques to dynamically filter eye movement data from AOIs for the analysis of eye metrics from multiple levels of granularity. The authors incorporate pre-trained object detectors and object instance segmentation models for offline detection of dynamic AOIs in video streams. This research presents the implementation and evaluation of object detectors and object instance segmentation models to find the best model to be integrated in a real-time eye movement analysis pipeline. The authors filter gaze data that falls within the polygonal boundaries of detected dynamic AOIs and apply object detector to find bounding-boxes in a public dataset. The results indicate that the dynamic AOIs generated by object detectors capture 60% of eye movements & object instance segmentation models capture 30% of eye movements.

Identifying E-Business Options

2009 ◽  
pp. 1-10
Author(s):  
Albert Boonstra ◽  
Bert de Brock
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Dynamic Environments ◽  
The Internet ◽  
Decision Making Process ◽  
Business Opportunity ◽  
Business Applications ◽  
Decision Making Processes ◽  
Business Purpose ◽  
Made In

The past few years, many organizations have been using the Internet in quite arbitrary and experimental ways. This phase, which can be considered as a period of learning and experimentation, has created a need for a more systematic approach to the identification, the ordering and the assessment of e-business options. It is the objective of this paper to address this need by presenting a methodology that aims at supporting management in using alternative e-business applications in the first stage of the decision-making process. Figure 1 shows how a systematic decision-making process can be organized by using e-business options. The steps are based on Simon’s intelligence, design, and choice trichotomy (Simon, 1960). First, alternative e-business options have to be identified and ordered. Then the possible options have to be assessed and selected. After this stage the selected opportunities have to be specified and designed. Next, implementation, operation, maintenance, and evaluation may follow. In Figure 1 this is called the “formal life cycle”. We will apply the word “e-business option” referring to the possibility to use an electronic network for a business purpose. An e-business opportunity is defined here as an assessed and selected e-business option. In practice, different intermediate feedback activities, interrupts, delays and adjustments are often necessary to reconsider earlier steps (Mintzberg, Raisinghani, & Théorêt, 1976). This is—among other reasons—because decision-making processes of this kind take place in dynamic environments and decisions are made in political contexts (Pettigrew, 2002). Moreover, participants in decision-making processes are often lacking the necessary information to make well-considered decisions right from the start (Miller, Hickson, & Wilson, 1996). In Figure 1 these activities are called “intermediate feedback”.

Baseball Players’ Eye Movements and Higher Coincident-Timing Task Performance

2020 ◽  
Vol 127 (3) ◽  
pp. 571-586
Author(s):  
Ikumi Tochikura ◽  
Daisuke Sato ◽  
Daiki Imoto ◽  
Atsuo Nuruki ◽  
Koya Yamashiro ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Task Performance ◽  
Visual Information ◽  
Absolute Error ◽  
Visual Information Processing ◽  
Baseball Players ◽  
Mobile Targets ◽  
Timing Task

Previous studies have reported that baseball players have higher than average visual information processing abilities and outstanding motor control. The speed and position of the baseball and the batter are constantly changing, leading skilled players to acquire highly accurate visual information processing and decision-making. This study sought to clarify how movement of the eyes is associated with baseball players’ higher coincident-timing task performance. We recruited 15 right-handed baseball players and 15 age-matched track and field athletes. On a computer-based coincident-timing task, we instructed participants to stop a computer image of a moving target by pressing a button at a designated point. We presented bidirectional moving targets with various velocities, presented in a random order. The targets’ moving angular velocity varied between 100, 83, 71, 63, 56, 50, and 46 deg/s. We conducted 168 repetitions (42 reps × 4 sets) of this coincident-timing task and measured participants’ eye movements during the task using Pupil Centre Corneal Reflection. Mixed-design analysis of variance results revealed participant group effects in favor of baseball players for timing absolute error and low absolute error, as predicted from prior visual processing and decision-making research with baseball players. However, in contrast to prior research, we found significantly shorter smooth-pursuit onset latency in elite baseball players, and there were no significant group differences for saccade onset and offset latencies. This may be explained by the difference in our research paradigm with mobile targets randomly presented at various velocities from the left and right. Our data showed baseball players’ higher than normal simultaneous timing execution for making decisions and movements based on visual information, even under laboratory conditions with randomly moving mobile targets.

scholarly journals Psychological Effects of Poverty on Time Preferences

2021 ◽  
Author(s):  
Vojtěch Bartoš ◽  
Michal Bauer ◽  
Julie Chytilová ◽  
Ian Levely
Keyword(s):  
Decision Making ◽  
Eye Tracking ◽  
Psychological Effects ◽  
Time Preferences ◽  
Discount Rates ◽  
Monitoring Tools ◽  
Subject Pool ◽  
Decision Making Processes ◽  
Economic Constraints

Abstract We test whether an environment of poverty affects time preferences through purely psychological channels. We measured discount rates among farmers in Uganda who made decisions about when to enjoy entertainment instead of working. To circumvent the role of economic constraints, we experimentally induced thoughts about poverty-related problems, using priming techniques. We find that thinking about poverty increases the preference to consume entertainment early and to delay work. Using monitoring tools similar to eye tracking, a novel feature for this subject pool, we show that this effect is unlikely to be driven by less careful decision-making processes.

scholarly journals Eye-movements can help disentangle mechanisms underlying disfluency

2020 ◽  
Author(s):  
Aurélie Pistono ◽  
Robert Hartsuiker
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Lexical Selection ◽  
Self Monitoring ◽  
Speech Encoding ◽  
Movement Data ◽  
Multivariate Pattern

To reveal the underlying cause of disfluency, several authors related the pattern of disfluencies to difficulties at specific levels of production, using a Network Task. However, disfluencies are arguably multifactorial. To disentangle disfluency related to word preparation from other factors, we combined this task with eye-tracking. We manipulated lexical and grammatical selection difficulty. In Experiment 1, lines connecting the pictures varied in length. Experiment 2 only used short lines. In both experiments, lexical selection difficulty promoted self- corrections and pauses and longer viewing times. Multivariate pattern analyses (MVPA) demonstrated that lexical selection difficulty is predictable from disfluency and eye-movement data patterns. In Experiment 1, participants spent less time gazing at pictures preceded by long lines, while producing more pauses. This suggests they used a strategy to inspect other areas than the upcoming picture. We conclude that eye-tracking is informative about mechanisms underlying disfluency related to speech encoding, self-monitoring, and stalling strategies.

scholarly journals Using Eye-Tracking to Understand Decision-Making in Conjoint Experiments

2020 ◽  
Vol 29 (1) ◽  
pp. 75-101
Author(s):  
Libby Jenke ◽  
Kirk Bansak ◽  
Jens Hainmueller ◽  
Dominik Hangartner
Keyword(s):  
Decision Making ◽  
Eye Tracking ◽  
Cognitive Processing ◽  
Local Community ◽  
Relevant Information ◽  
Absolute Number ◽  
Choice Data ◽  
Attribute Importance ◽  
New Information ◽  
Decision Making Processes

Conjoint experiments are popular, but there is a paucity of research on respondents’ underlying decision-making processes. We leverage eye-tracking methodology and a series of conjoint experiments, administered to university students and local community members, to examine how respondents process information in conjoint surveys. There are two main findings. First, attribute importance measures inferred from the stated choice data are correlated with attribute importance measures based on eye movement. This validation test supports the interpretation of common conjoint metrics, such as average marginal component effects (AMCEs), as measures of attribute importance. Second, when we experimentally increase the number of attributes and profiles in the conjoint table, respondents view a larger absolute number of cells but a smaller fraction of the total cells displayed. Moving from two to three profiles, respondents search more within-profile, rather than within-attribute, to build summary evaluations. However, respondents’ stated choices remain fairly stable regardless of the number of attributes and profiles in the conjoint table. Together, these patterns speak to the robustness of conjoint experiments and are consistent with a bounded rationality mechanism. Respondents adapt to complexity by selectively incorporating relevant new information to focus on important attributes, while ignoring less relevant information to reduce cognitive processing costs.

Analysis or intuition? Reframing the decision-making styles debate in technological settings

2020 ◽  
Vol 58 (1) ◽  
pp. 129-145 ◽  
Author(s):  
Ludovico Bullini Orlandi ◽  
Paul Pierce
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Data Availability ◽  
Mobile Technologies ◽  
Content Type ◽  
Processing Styles ◽  
Analytical Information ◽  
Decision Making Styles ◽  
Decision Making Processes

Purpose The debate over intuitive vs analytical decision-making styles began almost 40 years ago and had yet to deliver definite answers. The debate – however – has led to divergent theoretical stances and empirical results. The purpose of this paper is to investigate the role of these information processing styles in customer-related decision-making in the context of mobile technologies. Design/methodology/approach The hypotheses are derived from the contrasting theoretical propositions and empirical evidence present in the debate around decision-making styles. The study also introduces and investigates the moderating role of environmental dynamism (ED). Analyses and results are based on survey research that involves 251 managers with responsibility for organizational decision-making processes. Findings The study’s findings suggest that both intuitive and analytical styles are relevant in the actual context characterized by mobile technologies. Intuition still plays a central role in managers’ decision-making processes, but when the industry environment is highly dynamic analytical information processing also plays an essential role in supporting organizational responsiveness and performance. Practical implications This study can help managers in reconsidering the way in which they employ analytical or intuitive information processing activities inside their decision making at different levels of ED. Originality/value The novelty of this paper relies on testing hypothesis simultaneously developed by both the theoretical stances favorable to intuitive and to analytical information processing. Besides, it tests these hypotheses in the actual empirical context characterized by a transformed scenario in terms of data availability.

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