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Why Buttons Matter: Repurposing Facebook’s Reactions for Analysis of the Social Visual

Studying images on social media introduces several challenges that relate to the size of datasets and the different meaning-making grammars of social visuality; or as aptly pointed out by others in the field, it means ‘studying the qualitative on a quantitative scale’. Although cultural analytics provides an automated process through which patterns can be detected in large numbers of images, this methodology doesn’t account for other modalities of the image than the image itself. However, images circulating social media can (and should) be analyzed on the level of their audience as the latter is co-creating the meaning of images. Bridging the study of platform affordances and affect theory, this paper presents a novel methodology that repurposes Facebook Reactions to infer collective attitudes and performative emotional expressions vis á vis images shared on the large Syrian Revolution Network public page (+2M). We found visual patterns that co-occur with certain collective combinations of buttons, displaying how socio-technical features shape the discursive frameworks of online publics.

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Using feedback through digital technology to disrupt and change habitual behavior

Habitual behavior is often hard to change because of a lack of self-monitoring skills. Digital technologies offer an unprecedented chance to facilitate self-monitoring by delivering feedback on undesired habitual behavior. This review analyzed the results of 72 studies in which feedback from digital technology attempted to disrupt and change undesired habits. A vast majority of these studies found that feedback through digital technology is an effective way to disrupt habits, regardless of target behavior or feedback technology used.

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Using feedback through digital technology to disrupt and change habitual behavior

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(Eye)tracking users’ patterns

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Movement behavior patterns composition remains stable, but individuals change their movement behavior pattern over time in people with a first-ever stroke

Background Movement behaviors (i.e., physical activity levels, sedentary behavior) in people with stroke are not self-contained but cluster in patterns. Recent research identified three commonly distinct movement behavior patterns in people with stroke. However, it remains unknown if movement behavior patterns remain stable and if individuals change in movement behavior pattern over time. Objectives 1) To investigate the stability of the composition of movement behavior patterns over time, and 2) determine if individuals change their movement behavior resulting in allocation to another movement behavior pattern within the first two years after discharge to home in people with a first-ever stroke. Methods Accelerometer data of 200 people with stroke of the RISE-cohort study were analyzed. Ten movement behavior variables were compressed using Principal Componence Analysis and K-means clustering was used to identify movement behavior patterns at three weeks, six months, one year, and two years after home discharge. The stability of the components within movement behavior patterns was investigated. Frequencies of individuals’ movement behavior pattern and changes in movement behavior pattern allocation were objectified. Results The composition of the movement behavior patterns at discharge did not change over time. At baseline, there were 22% sedentary exercisers (active/sedentary), 45% sedentary movers (inactive/sedentary) and 33% sedentary prolongers (inactive/highly sedentary). Thirty-five percent of the stroke survivors allocated to another movement behavior pattern within the first two years, of whom 63% deteriorated to a movement behavior pattern with higher health risks. After two years there were, 19% sedentary exercisers, 42% sedentary movers, and 39% sedentary prolongers. Conclusions The composition of movement behavior patterns remains stable over time. However, individuals change their movement behavior. Significantly more people allocated to a movement behavior pattern with higher health risks. The increase of people allocated to sedentary movers and sedentary prolongers is of great concern. It underlines the importance of improving or maintaining healthy movement behavior to prevent future health risks after stroke.

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Movement behavior patterns composition remains stable, but individuals change their movement behavior pattern over time in people with a first-ever stroke

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In the eye of the beholder

This study explored how dressage judges focus their attention on different parts of horse-rider performances during competitions. By using eye tracking technology, we analyzed where judges look and how long they focus on specific areas. We included twenty judges with varying levels of experience and recorded their eye movements as they assessed Grand Prix dressage tests on video. We found that all judges mostly looked at the front of the horse compared to the rider or other parts of the horse. However, advanced level judges paid more attention to the horse’s feet, while judges engaged at the lower level of the sport looked more at the rider. These patterns suggest that judges concentrate on a few highly relevant areas, depending on the underlying criteria for evaluating performances. Understanding judges’ visual patterns and how they interpret what they see can help improve judging, making it more accurate and transparent, ensuring more consistent evaluations in competition and improving equine welfare.

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Visual Affect in Solidarity Hashtags on Twitter: Toward a New Methodology

Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention towards the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the circulation and contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by networked publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images is limited. However, combining automated analyses of images - broken down by their compositional elements - with repurposing platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This paper explores the capacities of platform data - hashtag modularity and retweet counts - to complement the automated assessment of social media images; doing justice to both the visual elements of an image and the contextual elements encoded by networked publics that co-create meaning.

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Visual Affect in Solidarity Hashtags on Twitter: Toward a New Methodology

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(Eye)tracking users’ patterns

Over the next 10 years, the City of Amsterdam plans to develop major housing schemes provide 90,000 new homes within the existing urban fabric. At the same time, an urban renewal program is being launched to revitalize the most deprived neighbourhoods. Together, these challenges call for more evidence based designprinciples to secure liveable places. Recent development in neuroscience, provides innovative tools to examine in a measurable, cause-effect way, the relationships between the physical fabric, users’ (visual) experience and their behavior in public spaces. In neuroscience, eye-tracking technology (ET) complements brain and behavioral measures (for overview see Eckstein et al. 2017). ET is already used to evaluate the spatial orienting of attention, behavioral response and emotional and cognitive impact in neuroscience, psychology and market research (Popa et al. 2015). ET may also radically change the way we (re)design and thus, experience cities (Sita et al. 2016; Andreani 2017). Until now, eye-tracking pilot studies collected eye fixation patterns of architecture using images in a lab-setting (Lebrun 2016).In our research project Sensing Streetscapes, we take eye-tracking outdoors and explore the potential ET may offer for city design. In collaboration with the municipality of Amsterdam and the local community, the H-neighborhood is used as a single case study. The main focus for urban renewal lies in the “transition-spaces”. They connect the neighborhood with the rapidly developing adjacent areas and are vital for improving the weak social-economic status. The commonly used design principles are validated (Alexander et al. 1977; Gehl 2011, 2014; Pallasmaa 2012) and the consistency of ET is tested, alongside (walk along) interviews and behavioral observations. In the next phase, the data will be analyzed by a panel of applied psychologists and urban designers. The initial results provide valuable lessons for the use of eye-tracking in urban design research. For example, a visual pattern analysis offers more accurate images of the spatial key-elements that matter when moving through transition spaces. More sensory-based city design research is needed to gather a full understanding of the relationships between the configuration of space, users’ (visual) experience, behavioral responses and in turn, perceptual decision making.

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Eye-tracking street users' visual exploration of buildings across the Western World

People in western countries spend approximately 90% of their time indoors. This severely affects their health (WHO 2013; Klepeis et al. 2001). The health risks are exacerbated if people travel between indoor spaces by car or public transport. Buildings on streets specifically designed to create a human scale and connected with the street-space can potentially invite people to walk and enhance their engagement with their surroundings (O’Mara 2019; Ewing et al. 2013). Since the 1960s, influential empirical studies have raised awareness of the walkability of streets (e.g. Jacobs 2008) but reliable evidence on the effectiveness of applied design solutions remains scarce (Spanjar & Suurenbroek 2020). This eye-tracking study focused on the visual ‘scanning’ of streetscapes and people’s appreciation of applied design principles. The aim was to gather together lessons learned from a variety of streetscapes in cities around the world and use them to inform the design of new developments in the Netherlands. Google Street View was used to select 19 images of streets in high-density environments with human-scale attributes in their façades and street-spaces. They were presented in a randomized order in a laboratory setting to 40 participants, who viewed them for 5 seconds. The participants’ visual explorative behaviour was recorded with advanced eye-tracking technology. A survey recorded their overall appreciation of the scenes and mouse-tracking collated their specific areas of interest (see fig. 1). The comparative analysis of the participants’ aggregated eye-fixation images together with the supplementary methods suggests that certain attributes for creating a human scale catch the eye in the first few seconds and are highly appreciated. These include the variety of a street’s façades, a street’s enclosedness, and the level of detail in the transition zone between the private ground floor and the public street (see fig. 2). Green features are particularly valued and might have important restorative qualities for people who spend most of their time indoors (Kaplan 1995; Ulrich 1984). Future research should focus on the design of façades and the street-space itself, taking people’s indoor lives and related stress levels as a starting point.

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Eye-tracking street users' visual exploration of buildings across the Western World

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Eye-tracking street users' visual exploration of buildings across the globe

People in western countries spend approximately 90% of their time indoors. This severely affects their health (WHO 2013; Klepeis et al. 2001). The health risks are exacerbated if people travel between indoor spaces by car or public transport. Buildings on streets specifically designed to create a human scale and connected with the street-space can potentially invite people to walk and enhance their engagement with their surroundings (O’Mara 2019; Ewing et al. 2013). Since the 1960s, influential empirical studies have raised awareness of the walkability of streets (e.g. Jacobs 2008) but reliable evidence on the effectiveness of applied design solutions remains scarce (Spanjar & Suurenbroek 2020). This eye-tracking study focused on the visual ‘scanning’ of streetscapes and people’s appreciation of applied design principles. The aim was to gather together lessons learned from a variety of streetscapes in cities around the world and use them to inform the design of new developments in the Netherlands. Google Street View was used to select 19 images of streets in high-density environments with human-scale attributes in their façades and street-spaces. They were presented in a randomized order in a laboratory setting to 40 participants, who viewed them for 5 seconds. The participants’ visual explorative behaviour was recorded with advanced eye-tracking technology. A survey recorded their overall appreciation of the scenes and mouse-tracking collated their specific areas of interest (see fig. 1). The comparative analysis of the participants’ aggregated eye-fixation images together with the supplementary methods suggests that certain attributes for creating a human scale catch the eye in the first few seconds and are highly appreciated. These include the variety of a street’s façades, a street’s enclosedness, and the level of detail in the transition zone between the private ground floor and the public street (see fig. 2). Green features are particularly valued and might have important restorative qualities for people who spend most of their time indoors (Kaplan 1995; Ulrich 1984). Future research should focus on the design of façades and the street-space itself, taking people’s indoor lives and related stress levels as a starting point.

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Why Buttons Matter: Repurposing Facebook’s Reactions for Analysis of the Social Visual

Using feedback through digital technology to disrupt and change habitual behavior

(Eye)tracking users’ patterns

Movement behavior patterns composition remains stable, but individuals change their movement behavior pattern over time in people with a first-ever stroke

In the eye of the beholder

Visual Affect in Solidarity Hashtags on Twitter: Toward a New Methodology

(Eye)tracking users’ patterns

Eye-tracking street users' visual exploration of buildings across the Western World

Eye-tracking street users' visual exploration of buildings across the globe

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Why Buttons Matter: Repurposing Facebook’s Reactions for Analysis of the Social Visual

Using feedback through digital technology to disrupt and change habitual behavior

(Eye)tracking users’ patterns

Movement behavior patterns composition remains stable, but individuals change their movement behavior pattern over time in people with a first-ever stroke

In the eye of the beholder

Visual Affect in Solidarity Hashtags on Twitter: Toward a New Methodology

(Eye)tracking users’ patterns

Eye-tracking street users' visual exploration of buildings across the Western World

Eye-tracking street users' visual exploration of buildings across the globe