Using mobile eye-tracking technology to examine adolescent daughters’ attention to maternal affect during a conflict discussion

2020 ◽  
Author(s):  
Mary L. Woody ◽  
Rebecca B. Price ◽  
Marlissa Amole ◽  
Emily Hutchinson ◽  
Kristy Benoit Allen ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Maternal Affect ◽  
Tracking Technology ◽  
Mobile Eye Tracking

scholarly journals Exploring the Awe-some: Mobile eye-tracking insights into awe in a science museum

2020 ◽  
Author(s):  
Sheila Krogh-Jespersen ◽  
Kimberly A Quinn ◽  
William Leo Donald Krenzer ◽  
Christine Thi Nguyen ◽  
Jana Greenslit ◽  
...  
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Informal Learning ◽  
Emotional Experience ◽  
Science Museum ◽  
Exhibit Design ◽  
Informal Learning Environments ◽  
Survey Responses ◽  
Tracking Technology ◽  
Mobile Eye Tracking

Informal learning environments provide the opportunity to study guests’ experiences as they engage with exhibits specifically designed to invoke the emotional experience of awe. The current paper presents insight gained by using both traditional survey measures and innovative mobile eye-tracking technology to examine guests’ experiences of awe in a science museum. We present results for guests’ visual attention in two exhibit spaces, one chosen for its potential to evoke positive awe and one for negative awe, and examine associations between visual attention and survey responses with regard to different facets of awe. In this exploratory study, we find relationships between how guests attend to features within an exhibit space (e.g., signage) and their feelings of awe. We discuss implications of using both methods concurrently to shed new light on exhibit design, and more generally for working in transdisciplinary multimethod teams to move scientific knowledge and application forward.

scholarly journals Using a mobile eye-tracking technology to explore pedestrians’ gaze distribution on street space

2021 ◽  
Vol 263 ◽  
pp. 05015
Author(s):  
Sergey Rudenko ◽  
Nina Danilina ◽  
Borislav Hristov
Keyword(s):  
Eye Tracking ◽  
Tracking System ◽  
City Development ◽  
Urban Streets ◽  
The Gaze ◽  
City Street ◽  
Street Space ◽  
Surrounding Space ◽  
Tracking Technology ◽  
Mobile Eye Tracking

The paper deals with the question of smart sustainable city development on the example of public city street space study using a modern mobile eye-tracking technology. The article presents a methodology to obtain data on the distribution of human gaze on dynamic and static objects located on urban streets as well as computer technologies that are used for the acquisition and processing of data. With the help of these technologies, it is possible to study people’s behavior in dynamic environments and to obtain results describing the nature of the pedestrians’ perception of their surrounding space. The results of a survey on urban streets in Berlin using a mobile eye tracking system are shown in this paper. Based on the results of the study, a list of objects that catch people’s attention and a numerical description of the gaze distribution are presented.

scholarly journals Clustering consumers' shopping journeys: eye tracking fashion m-retail

2020 ◽  
Vol 24 (3) ◽  
pp. 381-398 ◽  
Author(s):  
Zofija Tupikovskaja-Omovie ◽  
David Tyler
Keyword(s):  
Eye Tracking ◽  
Mobile Apps ◽  
Complex Behaviour ◽  
Content Type ◽  
Mobile Shopping ◽  
Segmentation Approach ◽  
Mobile Consumer ◽  
Purchasing Behaviour ◽  
Tracking Technology ◽  
Mobile Eye Tracking

PurposeDespite the rapid adoption of smartphones among digital fashion consumers, their attitude to retailers' mobile apps and websites is one of increasing dissatisfaction. This suggests that understanding how mobile consumers use smartphones for fashion shopping is important in developing digital shopping platforms that fulfil consumer' expectations.Design/methodology/approachFor this research, mobile eye-tracking technology was employed in order to develop unique shopping journeys for 30 consumers, using fashion retailers' websites on smartphones, documenting their differences and similarities in browsing and purchasing behaviour.FindingsBased on scan path visualisations and observed shopping experiences, three prominent mobile shopping journeys and shopper types were identified: “directed by retailer's website”, “efficient self-selected journey” and “challenging shopper”. These prominent behaviour patterns were used to characterise mixed cluster behaviours; three distinct mixed clusters were identified, namely, “extended self-selected journey”, “challenging shoppers directed by retailer's website” and “focused challenging shopper”.Research limitations/implicationsThis research argues that mobile consumers can be segmented based on their activities and behaviours on the mobile website. Knowing the prominent shopping behaviour types any other complex behaviour patterns can be identified, analysed and described.Practical implicationsThe findings of this research can be used in developing personalised shopping experiences on smartphones by feeding these shopper types into retailers' digital marketing strategy and artificial intelligence (AI) systems.Originality/valueThis paper contributes to consumer behaviour literature by proposing a novel mobile consumer segmentation approach based on detailed shopping journey analysis using mobile eye-tracking technology.

Making Sense of Mobile Eye-Tracking Data in the Real-World

2016 ◽  
Vol 60 (1) ◽  
pp. 1569-1573 ◽  
Author(s):  
Allan Fong ◽  
Daniel Hoffman ◽  
Raj M. Ratwani
Keyword(s):  
Decision Making ◽  
Eye Tracking ◽  
Eye Movement ◽  
Real World ◽  
Interaction Mechanism ◽  
Tracking Data ◽  
The Real ◽  
Human In The Loop ◽  
Tracking Technology ◽  
Mobile Eye Tracking

Stationary eye-tracking technology has been used extensively in human-computer interaction to both understand how humans interact with computers and as an interaction mechanism. Mobile eye-tracking technology is becoming more prevalent, yet the analysis and annotation of mobile eye-tracking data remains challenging. We present a novel human-in-the-loop approach for mobile eye-tracking data analysis that dramatically reduces resource requirements. This method incorporates human insight in a semi-automatic decision making process, leveraging both computational power and human decision making abilities. We demonstrate the accuracy of this approach with eye movement data from two real-world use cases. Average accuracy across the two environments is 82.3%. Our approach holds tremendous promise and has the potential to open the door to more robust eye movement studies in the real-world.

Do you see what I mean?: Using mobile eye tracking to capture parent–child dynamics in the context of anxiety risk

2021 ◽  
pp. 1-16
Author(s):  
Leigha A. MacNeill ◽  
Xiaoxue Fu ◽  
Kristin A. Buss ◽  
Koraly Pérez-Edgar
Keyword(s):  
Eye Tracking ◽  
Positive Reinforcement ◽  
Parental Behavior ◽  
Anxiety Level ◽  
Eye Tracker ◽  
Fine Grained ◽  
Controlling Parenting ◽  
Attractor Strength ◽  
Child Age ◽  
Mobile Eye Tracking

Abstract Temperamental behavioral inhibition (BI) is a robust endophenotype for anxiety characterized by increased sensitivity to novelty. Controlling parenting can reinforce children's wariness by rewarding signs of distress. Fine-grained, dynamic measures are needed to better understand both how children perceive their parent's behaviors and the mechanisms supporting evident relations between parenting and socioemotional functioning. The current study examined dyadic attractor patterns (average mean durations) with state space grids, using children's attention patterns (captured via mobile eye tracking) and parental behavior (positive reinforcement, teaching, directives, intrusion), as functions of child BI and parent anxiety. Forty 5- to 7-year-old children and their primary caregivers completed a set of challenging puzzles, during which the child wore a head-mounted eye tracker. Child BI was positively correlated with proportion of parent's time spent teaching. Child age was negatively related, and parent anxiety level was positively related, to parent-focused/controlling parenting attractor strength. There was a significant interaction between parent anxiety level and child age predicting parent-focused/controlling parenting attractor strength. This study is a first step to examining the co-occurrence of parenting behavior and child attention in the context of child BI and parental anxiety levels.

scholarly journals Effects of age on memory for pragmatic implications in advertising

2021 ◽  
Vol 15 ◽  
pp. 183449092110004
Author(s):  
Jing Yu ◽  
Xue-Rui Peng ◽  
Ming Yan
Keyword(s):  
Older Adults ◽  
Eye Tracking ◽  
Cognitive Processes ◽  
Time Processing ◽  
Movement Data ◽  
Processing Strategies ◽  
Health Related ◽  
Advertising Content ◽  
Inferential Processing ◽  
Tracking Technology

People employ automatic inferential processing when confronting pragmatically implied claims in advertising. However, whether comprehension and memorization of pragmatic implications differ between young and older adults is unclear. In the present study, we used eye-tracking technology to investigate online cognitive processes during reading of misleading advertisements. We found an interaction between age and advertising content, manifested as our older participants generated higher misleading rates in health-related than in health-irrelevant products, whereas this content-bias did not appear in their younger counterparts. Eye movement data further showed that the older adults spent more time processing critical claims for the health-related products than for the health-irrelevant products. Moreover, the correlations between fixation duration on pragmatic implications and misleading rates showed opposite trends in the two groups. The eye-tracking evidence novelly suggests that young and older adults may adopt different information processing strategies to comprehend pragmatic implications in advertising: More reading possibly enhances young adults’ gist memory whereas it facilitates older adults’ verbatim memory instead.

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