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This study analyzed the factors affecting visual attention toward sugar-reduction information (SRI) on sugar-reduced beverages (SRBs) and identified the most optimal SRI type and location using eye-tracking. The eye-tracking results were compared with those of a self-reported questionnaire.

An eye-tracking experiment was conducted on 50 Korean people in their 20s and 30s to analyze implicit responses. Subsequently, a self-reported questionnaire was administered to analyze explicit responses, facilitating the investigation of perceptions, attitudes, preferences, intentions to purchase SRBs, and preferred SRI types and positions.

The results were as follows. First, personal trait-, state-, and product-related factors were found to affect eye movement in relation to SRI. Second, eye-tracking revealed that SRI types and locations that drew long-lasting fixation and attracted considerable attention were similar to those preferred in the self-reported questionnaire. Therefore, to efficiently convey information on SRBs, SRI should be combined with a graphic, and not merely a word, and placed in the upper-right corner, exhibiting consistency with the results of two previous experiments.

This study specifically focused on considering personal and product-related traits while conducting an eye-tracking experiment to investigate the factors that attract consumers' attention. Furthermore, this study is the first to investigate the use of SRI labels to promote SRB selection. What is significant is that both explicit and implicit responses were assessed and compared via a self-reported survey and eye-tracking experiments for various SRB categories.

The main purpose of this study is to analyze how consumers’ visual attention to wine label design correlates with their preferences. Accordingly, this study uses quantitative eye-tracking metrics to understand which design proposal has greater visual salience. A more specific objective was to assess which design proposal was preferred to be marketed.

The experiment involved evaluating of three different labeling proposals of an Italian winery. Infrared eye-tracking was used to measure implicit eye movements on the three bottles displayed, simultaneously, on a computer screen. A generalized linear model was used to test how consumers' visual attention to wine label design correlated with their preferences.

The design proposals were evaluated significantly differently, with one set being preferred. In general, a strong positive relationship was found between pausing to peruse a specific design proposal and making an explicit choice of the same bottle.

The main limitation of the experiment concerns the sample interviewed. As the sample is homogeneous, the results may not be generalizable to other segments. Furthermore, the addition of electroencephalographic devices that monitor brain activity could provide crucial information for understanding consumer behavior during the purchase decision-making process.

Eye-tracking methods could be useful for designers and wine producers during the evaluation process of design projects.

The use of eye-tracking for evaluating design proposals before placing a product on the market is relatively novel. This method provides objective, quantitative and predictive information on consumer preferences contributing guidelines to designers and marketers during the product conception phase.

Construction companies are increasingly adopting sensing technologies like laser scanners, making it necessary to upskill the future workforce in this area. However, limited jobsite access hinders experiential learning of laser scanning, necessitating the need for an alternative learning environment. Previously, the authors explored mixed reality (MR) as an alternative learning environment for laser scanning, but to promote seamless learning, such learning environments must be proactive and intelligent. Toward this, the potentials of classification models for detecting user difficulties and learning stages in the MR environment were investigated in this study.

The study adopted machine learning classifiers on eye-tracking data and think-aloud data for detecting learning stages and interaction difficulties during the usability study of laser scanning in the MR environment.

The classification models demonstrated high performance, with neural network classifier showing superior performance (accuracy of 99.9%) during the detection of learning stages and an ensemble showing the highest accuracy of 84.6% for detecting interaction difficulty during laser scanning.

The findings of this study revealed that eye movement data possess significant information about learning stages and interaction difficulties and provide evidence of the potentials of smart MR environments for improved learning experiences in construction education. The research implication further lies in the potential of an intelligent learning environment for providing personalized learning experiences that often culminate in improved learning outcomes. This study further highlights the potential of such an intelligent learning environment in promoting inclusive learning, whereby students with different cognitive capabilities can experience learning tailored to their specific needs irrespective of their individual differences.

The classification models will help detect learners requiring additional support to acquire the necessary technical skills for deploying laser scanners in the construction industry and inform the specific training needs of users to enhance seamless interaction with the learning environment.

Graphic health warnings (GHWs) on tobacco product packaging constitute one component within a multifaceted set of tobacco control measures. This study aims to understand whether consumers’ attention to GHWs will be associated with recall and quit intentions, using Australia as the case for this study.

Using the 14 GHWs currently in market as visual stimuli, non-probability intercept sampling was conducted, eye tracking and post-survey datasets were collected from a total of 419 respondents across three Australian cities.

Results show the front graphic image areas draw initial attention and the Quitline message area holds the longest attention duration. Attention is highly correlated with better quality of recall of health warning information, emotive responses, believability ratings among smokers and smokers’ perception of health risks and quit intentions. Associations are also noted with perceived health risk and quitting intentions.

To the best of the authors’ knowledge, this is the first study that has objectively tested the effectiveness of in-market tobacco GHWs in Australia and highlights eye tracking as a valid measurement approach that can enhance and drive new insights to evaluate consumer behaviour towards visual stimuli. This study extends new knowledge around the physiological relationships between viewing behaviours, health vulnerability perceptions and intentions to quit smoking, which has theoretical implications for the extended parallel process model which underpins this research.

This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to investigate the influencing factors of the public acceptance of 5G base stations.

This study used a combination of eye-tracking experiments and questionnaires. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

(1) The Technology Acceptance Model (TAM) could be used to explain the effects on public acceptance of 5G base stations in the context of the COVID-19 pandemic. The public's perceived usefulness and ease of use of 5G base stations positively affects public acceptance of 5G base stations. (2) The public's perceived risk of 5G base stations has a negative influence on the public acceptance of 5G base stations. (3) The public's visual attention to the different valence information about 5G base stations positively impacts the perceived ease of use while having negative impacts on perceived risk. (4) Visual attention to various valence information of 5G base stations can indirectly influence public acceptance through the perceived risk.

Applying the SOR and TAM to data obtained from eye-tracking experiments and questionnaires, this study analyzed the factors and mechanisms influencing public acceptance of 5G base stations in the context of the COVID-19 pandemic.

Technological innovation has made it possible to review how a film cues particular reactions on the part of the viewers. The purpose of this paper is to capture and interpret visual perception and attention by the simultaneous use of eye tracking and electroencephalography (EEG) technologies.

The authors have developed a method for joint analysis of EEG and eye tracking. To achieve this goal, an algorithm was implemented to capture and interpret visual perception and attention by the simultaneous use of eye tracking and EEG technologies. All parameters have been measured as a function of the relationship between the tested signals, which, in turn, allowed for a more accurate validation of hypotheses by appropriately selected calculations.

The results of this study revealed a coherence between EEG and eye tracking that are of particular relevance for human perception.

This paper endeavors both to capture and interpret visual perception and attention by the simultaneous use of eye tracking and EEG technologies. Eye tracking provides a powerful real-time measure of viewer region of interest. EEG technologies provides data regarding the viewer’s emotional states while watching the movie.

The approach in this paper is distinct from similar studies because it takes into account the integration of the eye tracking and EEG technologies. This paper provides a method for determining a fully functional video introspection system.

Destination management organizations deliver travel-related information through visitor guides to build destination awareness and attract potential tourists. Therefore, this research aims to investigate how people read such a guide, understand their attitudes and to provide recommendations on enhancing its design.

This research used eye-tracking technology in tandem with surveys and in-depth interviews. Eye-tracking technology uncovered the elements of a visitor guide that attracted particular attention, whereas surveys and interviews provided deeper insights into people’s attitudes toward them.

People do not spend attention equally on each page of a visitor guide. Instead, they look at the reference points (i.e. photo credits, photos, headings and bolded words) and then read the adjacent areas if the information triggers their interest. The characteristics of the attractive components of a visitor guide were discussed and suggestions on designing a more appealing guide were provided.

The triangulated approach not only generated objective and insightful results but also enhanced research validity. This exploratory sequential mixed method can usefully be applied to test other stimuli and assess attention.

To be deemed appealing, a visitor guide should avoid ads unrelated to the destination, include more photos, use the list format and bolded words, add stories or selected comments from social media and provide well-designed maps.

This research fills a gap in the literature by using a triangulated approach including eye-tracking, survey and interviews to examine a 68-page visitor guide. The concept of reference-point reading behavior is proposed. Practical implications are discussed to improve the design of a visitor guide.

This study is an “Action-Research-based” bridge that connects sketching and photographic processes. The article’s objective encompasses designing, assessing and validating a perceived difference between sketching and photography through a structured task by ensuring the systematic creation and implementation of the assignments. This study is part of a larger research project exploring the differences between thinking about sketching and final photographic outcomes.

This experimental mixed-method methodology was collected in three phases: the creation phase, where participants were asked to sketch and photograph a balanced composition; the evaluation phase, where the sketches and photographs were evaluated by “Self, Peer, and Independent” reviewers for their perceived differences. An analysis of variance (ANOVA) was implemented to test the result. In the validation phase, eye-tracking technology is applied to understand the subconscious eye movements of individuals.

This study of 37 samples has helped develop a self-study model in photography, as students have learnt to evaluate themselves critically. This experience will help students be active and reflective learners, thus increasing attention and retention in their course, specifically “Photography Design Education”. A pedagogical approach by design instructors for practical, student-friendly, process-oriented assignments for their photography courses in higher education.

The trans-mediation process requires cognition amongst different mediums, such as pencil and paper for sketching and light for light painting. Photography courses in design education need knowledge of the photo/light medium, contrasting with the understanding of sketching/drawing. Exploring and addressing research gaps for transforming and designing assignments based on adaptive understanding presents an exciting opportunity.