Design sociology part 2: terms and approaches

In the previous post I introduced the idea of design sociology. In this post, I begin to outline some of the key terms and approaches and discuss their relevance for the development of design sociology.

Key terms in design

Design and design thinking

The concept of design, as it is used in professional design circles, refers to developing an idea about a product, system or solution, and devising a plan for executing that idea. Design involves an iterative process of problem solving that includes identifying the practices of end users, generating and testing ideas and then implementing them. Most design-related research works towards developing a set of recommendations for how the design of objects or systems can be developed and improved for their targeted users. It therefore has a future-oriented perspective that can move from what is currently known to what might occur (Bergman, Lyytinen, & Mark, 2007; Dorst, 2011; Drazin, 2013; Kimbell, 2011, 2012): A design problem is developed, which the actions of designers need to address to achieve a better solution for the relevant stakeholders (Bergman et al., 2007). Success is measured by how well the proposed solutions work for the intended purpose.

Design thinking is a design-based approach to problem solving, change or idea-generation beyond the domain of professional design that emerged about two decades ago. Design thinking became popular as a new mode of creating solutions because designers were viewed as possessing particular creative and innovation skills, able to adopt a human-centred approach and possessing a privileged sensitivity to how changes in culture can be identified and built on in developing new cultural forms. In the neoliberal and entrepreneurial context prevailing in most wealthy countries, in which the capacity for developing innovation, creativity, novelty and futures forecasting are prized as ways of fostering economic group, these attributes have achieved high worth (Drazin, 2013; Kimbell, 2011). The design thinking approach has been taken up in particular in the contexts of management, business, information technology, and organisation, but also by those working towards social change and policy development (Bjögvinsson, Ehn, & Hillgren, 2012; Brown & Wyatt, 2010; Dorst, 2011; Kimbell, 2011).

The design workshop is the archetypal set-up for running design research activities, involving bringing together professional designers or design research teams with end-users and other stakeholders to identify challenges and develop new ideas. Methods of running participatory design activities often involve some kind of design artefact, used to challenge perceptions and stimulate ideas and new ways of doing. These artefacts are developed from consultations with commissioning clients or previous research into the topic under investigation, which may involve reviewing the existing literature as well as conducting new social research to define the problem, typically using the standard methods of surveys, focus groups or one-to-one interviews. Design artefacts are usually a kind of material object that can be viewed or handled, but may also be concepts that are expressed verbally (Drazin, 2013). As they are used in design workshops, design artefacts operate as boundary objects because they enable design knowledge to cross social worlds and facilitate alignment of interests across these different contexts (Bergman et al., 2007; Vines, Clarke, Wright, McCarthy, & Olivier, 2013). Design artefacts need to possess the capability for common representation, to transform design knowledge, mobilise for action, and legitimise design knowledge across heterogeneous social worlds (Bergman et al., 2007).

Examples of design artefacts that are typically used in workshops include descriptive or functional prototypes and mock-ups, images, fictional narratives, videos, games, dramatic performances, storyboards, scenarios, inspiration cards, or cultural probes (objects that invite people to perform certain tasks). Sometimes design artefacts are given to participants to be deployed or worked with at home or in work settings. Ideally, these artefacts work to spark responses that go beyond the obvious, reveal gaps and ambiguities in understandings, and inspire new and often provocative ideas that challenge taken-for-granted assumptions. Design artefacts are often made by the research or design team before research participants encounter them, but in some projects, they are developed together with the participants as part of workshops.

In seeking to understand human behaviour, design and HCI research has traditionally adopted cognitive psychological models of behaviour that focus on individual responses (Vines et al., 2013). The practices associated with an object or system have often been examined without recognition or identification of related practices that contribute to an ecology of use, involving other humans and nonhumans, space and place. Design thinking and research has also been subjected to criticism for its limited, individualistic and predominantly utilitarian and commercially-oriented approach (see, for example, Dunne & Raby, 2013; Kimbell, 2011, 2012; Malpass, 2013; Vines et al., 2013). In recent times, however, many design and HCI researchers have begun to include sociocultural and political perspectives in their work. In HCI research, this is referred to as the third paradigm (following the engineering and cognitive psychology paradigms) one that has been gathering momentum for several years (Harrison, Sengers, & Tatar, 2011; Harrison, Tatar, & Sengers, 2007; Sellen, Rogers, Harper, & Rodden, 2009). The term reflective design has also been employed in the HCI literature to encompass researchers’ attempts to question taken-for-granted values and tacit norms and assumptions, move beyond single authoritative interpretations to elicit multiple viewpoints and develop ideas for alternative possibilities (Gaver et al., 2013; Sengers, Boehner, David, & Kaye, 2005; Sengers & Gaver, 2006).

These developments in design and HCI research bring its interests, perspectives and methods closer to those of sociology. Many of these approaches involve end-users at some point in the design process. The process of collaboration with publics and other stakeholders is often referred to as co-design or participatory design. Co-design and participatory design have been described as a process of experimentation, mutual learning and reflection in action involving multiple participants beyond designers. The underlying ideal is that those who will use these ideas, processes or objects (the end-users) are able to have a say in how they are designed. The origins of participatory design lie in social rights movements. Activities are therefore often directed at incorporating the ideas of community groups, with a focus of achieving social change or improvements to people’s living conditions.  (Bjögvinsson et al., 2012; DiSalvo, Louw, Holstius, Nourbakhsh, & Akin, 2012; Malpass, 2013; Muller, 2003; Robertson & Simonsen, 2012, 2013). Some researchers have sought to include the participation of social groups who have traditionally have been excluded from the design process, such as those from culturally and linguistically-diverse backgrounds, with significant health conditions, children or older people or people of low socioeconomic status (for example, Hendriks, Huybrechts, Wilkinson, & Slegers, 2014; Lindsay, Jackson, Schofield, & Olivier, 2012; Vines et al., 2013).

An example of participatory design is the method of participatory forecasting and backcasting. Groups of stakeholders are asked to imagine desirable probable, possible or preferable future scenarios, which may involve brainstorming exercises and ideas clustering. Once a set of scenarios has been developed, they are used as a tool for the development and assessment of strategies and solutions. When backcasting is used, these future scenarios are developed, and then participants work back to the present to develop interventions to achieve these futures (Carlsson-Kanyama, Dreborg, Moll, & Padovan, 2008).  The scenarios are sometimes represented using images, and then presented to further groups of participants to invite their responses. This approach has mostly been used for such topics as environmental sustainability (for example, Carlsson-Kanyama et al., 2008; Robinson, Burch, Talwar, O’Shea, & Walsh, 2011) and household consumption and energy use (for example, Davies, 2014; Doyle & Davies, 2013).

The next post will continue looking at approaches, covering critical, speculative and ludic design. 

References

Bergman, M., Lyytinen, K., & Mark, G. (2007). Boundary objects in design: an ecological view of design artifacts. Journal of the Association for Information Systems, 8(11), 546-568.

Bjögvinsson, E., Ehn, P., & Hillgren, P.-A. (2012). Design things and design thinking: contemporary participatory design challenges. Design Issues, 28(3), 101-116.

Brown, T., & Wyatt, J. (2010). Design thinking for social innovation. Development Outreach, 12(1), 29-43.

Carlsson-Kanyama, A., Dreborg, K. H., Moll, H. C., & Padovan, D. (2008). Participative backcasting: a tool for involving stakeholders in local sustainability planning. Futures, 40(1), 34-46.

Davies, A. R. (2014). Co-creating sustainable eating futures: Technology, ICT and citizen–consumer ambivalence. Futures, 62, Part B, 181-193.

DiSalvo, C., Louw, M., Holstius, D., Nourbakhsh, I., & Akin, A. (2012). Toward a public rhetoric through participatory design: critical engagements and creative expression in the neighborhood networks project. Design Issues, 28(3), 48-61.

Dorst, K. (2011). The core of ‘design thinking’ and its application. Design Studies, 32(6), 521-532.

Doyle, R., & Davies, A. R. (2013). Towards sustainable household consumption: exploring a practice oriented, participatory backcasting approach for sustainable home heating practices in Ireland. Journal of Cleaner Production, 48, 260-271.

Drazin, A. (2013). The social life of concepts in design anthropology. In W. Gunn, T. Otto, & R. C. Smith (Eds.), Design anthropology: Theory and practice (pp. 33-50). London: Bloomsbury.

Dunne, A., & Raby, F. (2013). Speculative Everything: Design, Fiction, and Social Dreaming. Cambridge, MA: The MIT Press.

Gaver, W., Bowers, J., Boehner, K., Boucher, A., Cameron, D. W. T., Hauenstein, M., . . . Pennington, S. (2013). Indoor weather stations: investigating a ludic approach to environmental HCI through batch prototyping. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’13), Paris. ACM Press, pp. 3451-3460.

Harrison, S., Sengers, P., & Tatar, D. (2011). Making epistemological trouble: Third-paradigm HCI as successor science. Interacting with Computers, 23(5), 385-392.

Harrison, S., Tatar, D., & Sengers, P. (2007). The three paradigms of HCI. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’07), San Jose, CA. ACM Press, pp. 1-18.

Hendriks, N., Huybrechts, L., Wilkinson, A., & Slegers, K. (2014). Challenges in doing participatory design with people with dementia. 13th Participatory Design Conference (PDC ’14), Windhoek, Namibia. ACM Press, pp. 33-36.

Kimbell, L. (2011). Rethinking design thinking: Part I. Design and Culture, 3(3), 285-306.

Kimbell, L. (2012). Rethinking design thinking: Part II. Design and Culture, 4(2), 129-148.

Lindsay, S., Jackson, D., Schofield, G., & Olivier, P. (2012). Engaging older people using participatory design. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’12), Austin, Texas. ACM Press, pp. 1199-1208.

Malpass, M. (2013). Between wit and reason: defining associative, speculative, and critical design in practice. Design and Culture, 5(3), 333-356.

Muller, M. J. (2003). Participatory design: the third space in HCI. In A. Sears & J. A. Jacko (Eds.), Human-computer interaction: Development process (pp. 165-185). New York: CRC Press.

Robertson, T., & Simonsen, J. (2012). Challenges and opportunities in contemporary participatory design. Design Issues, 28(3), 3-9.

Robertson, T., & Simonsen, J. (2013). Participatory dsign: an introduction. In J. Simonsen & T. Robertson (Eds.), Routledge International Handbook of Participatory Design (pp. 1-17). London: Routledge.

Robinson, J., Burch, S., Talwar, S., O’Shea, M., & Walsh, M. (2011). Envisioning sustainability: recent progress in the use of participatory backcasting approaches for sustainability research. Technological Forecasting and Social Change, 78(5), 756-768.

Sellen, A., Rogers, Y., Harper, R., & Rodden, T. (2009). Reflecting human values in the digital age. Communications of the ACM, 52(3), 58-66.

Sengers, P., Boehner, K., David, S., & Kaye, J. J. (2005). Reflective design. Proceedings of the 4th Decennial Conference on Critical Computing: Between Sense and Sensibility, Aarhus. ACM Press, pp. 49-58.

Sengers, P., & Gaver, B. (2006). Staying open to interpretation: engaging multiple meanings in design and evaluation. Proceedings of the 6th conference on Designing Interactive systems (DIS 2006), University Park, Pennsylvania. ACM Press, pp. 99-108.

Vines, J., Clarke, R., Wright, P., McCarthy, J., & Olivier, P. (2013). Configuring participation: on how we involve people in design. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’13), Paris. ACM Press, pp. 429-438.

Design sociology part 1: a research agenda

Over the past few years I have become interested in experimenting with approaches to social research and theorising that I am calling ‘design sociology’. I think that design approaches have much to offer the development of novel modes of sociological inquiry, especially for research that seeks to understand people’s engagements with objects and systems, better engage publics and other stakeholders, work towards social change, and identify and intervene in futures. One example of a project in which I have used design methods is a study on public understanding of big data with Mike Michael (see here and here for publications from this). I am now working with a professional design research studio to develop methods for new projects.

While not all design approaches are relevant to the interests and preoccupations of sociological researchers, many designers and HCI researchers have become progressively open to incorporating sociological and anthropological concepts and theories in their work. For their part, anthropologists have begun to realise the possibilities of taking up design approaches. Design anthropology as a sub-discipline of anthropology is new but rapidly evolving, as evidenced by the publication of several edited volumes since 2011: Design Anthropology: Object Culture in the 21st Century, Design and Anthropology, Design Anthropology: Theory and Practice, Digital Materialities: Design and Anthropology and Design Anthropological Futures. As outlined in these books and other design anthropology literature, like sociologists, anthropologists are focused on developing concepts and ideas about the way social groups operate. They tend to be oriented towards the past and the present rather than the future, and on documentation rather than social change. Design anthropology takes a more applied, future-oriented and interventionist approach than do other modes of anthropological inquiry.

With some notable exceptions, thus far sociologists have not been as open to engaging with design and HCI perspectives – or indeed, even with design anthropology. Design sociology as a term is hardly ever used. Yet design sociology as a field of research can fruitfully incorporate the strengths and foci of design-oriented approaches while maintaining the critical and sociocultural emphasis of traditional sociological enquiry. Sociologists can productively build on the existing critiques of design thinking processes that have been raised by designers and HCI researchers. From a conceptual and theoretical level, design sociology can also extend the literature on design that represented the design process and design artefacts as sociomaterial phenomena that are situated within specific sociocultural and political contexts. It can develop insights into how objects and systems are designed, developed, promoted to users and taken up by users and also retain a reflexive perspective on the use of design research methods as themselves context-specific and discursive research devices, involving multiple and often contested knowledge claims that can work to serve or support certain interests and futures over others.

In my next blog post I will I review key terms and approaches in design research that offer possibilities for applied sociology.

Four talks in Europe, June 2017

I’ll be giving four talks in Europe in June this year. Here are the details and the links to the events.

Feeling data – the role of touch in data sense

I have had an article accepted for publication in a special issue on haptic media in New Media & Society. In the article, I discuss the ways in which people’s engagements with their personal digital data can be facilitated with the use of touch, by generating three-dimensional materialisations of their data.

The introduction to the article is below. The PDF of the entire author’s accepted version is here: Lupton 2017 Feeling data – touch and data sense.

People’s encounters and entanglements with the personal digital data that they generate is a new and compelling area of research interest in this age of the ascendancy of digital data. The emergence of novel modes of generating digital data about humans and their activities and movements has the potential for new ways of learning about and conceptualising bodies, selves and social relations. The experience of everyday life in many parts of the world is now increasingly datafied – rendered into digital data forms. People’s interactions online, their use of mobile and wearable devices, and other ‘smart’ objects and their movements in sensor-embedded spaces all generate multiple and constant flows of digital data, often about intensely personal actions and preferences, social relationships, and bodily functions and movements. They are encouraged to take the opportunity to view and reflect on this information and use it to optimise their lives, improve their health and wellbeing, contribute to their memories or achieve self-knowledge (Lupton, 2016b; 2016a; Nafus and Sherman, 2014; Selke, 2016). In response to the continual data streams and traces generated about them, people are learning to come to terms with how their personal information is generated and what meanings and value it offers them. They are now called upon to engage with a variety of forms of information about themselves and to confront the complexities of how these data are used by others.

Responding to personal data is a highly sensory experience, involving people to engage in complex negotiations between assessing the information they receive from their embodied senses and that generated from digital devices. The ways in which their personal details are translated from digital data into material form are important to people’s sensory engagements with their data. Most discussions of personal digital data materialisations have focused on two-dimensional visual renderings: data visualisations that are primarily designed to be looked at. This article is intended as a contribution towards understanding the sensory dimensions of personal digital data, with a particular focus on the haptic. I explore the topic of how personal digital data and their circulations can be made more perceptible and therefore interpretable to people with the use of three-dimensional materialisations that invite not only viewing but also touching and handling, and in some cases, the senses of hearing, taste and smell as well. I argue that these forms of data materialisation are potentially integral to new modes of understanding and incorporating personal data into everyday life, living with and alongside these data.

The discussion is structured into several parts. In the first part, I review some of the relevant literature on human embodiment, the senses and digital technologies, establishing the theoretical basis that is further developed in the article. This is followed by a discussion of how the ontologies of personal digital data may be theorised. I then introduce the notion of data sense, drawing attention to the sensory dimensions of how people interpret their data. I then discuss the ways in which personal digital data can be fabricated into three-dimensional forms using 3D printing technologies – data physicalisations – so that they can be experienced and responded to in multisensory ways. I provide examples of objects created from personal digital data that can be handled, displayed as decorative artefacts, worn on the body as jewellery and even eaten. Finally, I address the politics of personal data and their materialisations. The concluding comments raise some directions for further research emerging from this discussion.

Call for abstracts – Digital Food Cultures symposium

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I am convening a one-day symposium on Digital Food Cultures, to be held at the University of Canberra on Friday 20 October 2017. If you are interested in presenting at this symposium, the call for abstracts is now out.

This symposium is directed at the social, cultural, political and ethical dimensions of representations and practices related to using digital technologies for food production, consumption, preparation, eating out, promoting healthy diets or weight loss, marketing, ethical consumption, food activism and environmental and sustainability politics.

Topics may include, but are not limited to food-related apps, online videos, GIFs and memes, other platforms, digital food-related games, wearable devices, digital food data and 3D printed food technologies.

I plan to edit a special journal issue from selected symposium papers.

Please send abstracts (with your name, university affiliation and title of paper) of 150-200 words to me by 1 June 2017 at deborah.lupton@canberra.edu.au.

15 top tips for revising journal articles

  1. Take a deep breath. No-one likes to have their precious writing critiqued, and it can be very easy to feel defensive and annoyed. But remember a condition of academic writing is that we expose ourselves to critique. We must learn to accept this and realise how the review process can help us.
  2. Feel gratitude for the work performed on your behalf by the reviewers and editors. Although you may not like some of their feedback, nearly all (and yes, there are some nasty exceptions) have reviewed your work in the spirit of academic generosity and have taken precious time from their own work to do this. If they have performed the review constructively, they deserve your thanks and appreciation.
  3. See the revision process as a way to make your work the best it can be, and a challenge to push yourself to improve it.
  4. If the editor has given you a decision of ‘revise and resubmit’, always attempt this, however extensive the work required of you. There is a very good chance that if you revise your article competently it will be accepted.
  5. If the editor has rejected your article, acknowledge your inevitable feelings of disappointment and frustration (or even murderous rage!) but then move on. Think about where else you can resubmit it. Consider first the comments made by the reviewers and decide whether you should address some of these before submitting elsewhere to enhance your chances of success next time around.
  6. Bite the bullet. Try not to leave the revisions or submission to another journal too long – it can be easy to keep putting this job off, but it must be done!
  7. If the article has been written with other authors, decide who will take leadership on the revisions. This should usually be the person who led the writing of the original manuscript. The lead author should take on as much of the revision work as they can, and then share the revised version with the other author/s for their contributions and feedback.
  8. Block out a good chunk of time in which you will be able to begin work on the revisions. Choose a time of day if possible at which you know you will be feeling the most mentally alert. There is no denying that you have a demanding task ahead of you.
  9. Don’t rush things. Take as much time as you need to complete it properly.
  10. Now that you are mentally prepared … go back and read your submitted manuscript. You will most likely have forgotten most of what you wrote and this is a good chance to read it with fresh eyes.
  11. Then go back to the email from the journal editors with the reviewers’ comments. Copy and paste the reviewers’ comments in to a new Word document. Then go through and isolate each comment which suggests or requests a revision. Then read each comment carefully.
  12. Start to go through your original manuscript and begin addressing those points you think require revisions. It is often easiest to address the minor revisions first. In your ‘response to reviewers’ document, write your responses under each separate point as you go. Your response should explain the changes you have made. If you disagree with a suggested change, you are entirely within your rights to state this and explain why.
  13. Highlight changes in your manuscript with bold or coloured highlighting so that the editor and reviewers can easily see where you added or significantly altered material. Don’t use the track changes function (unless this has been specifically requested by the editor), as track changes can leave the manuscript looking very messy and difficult to read.
  14. Once you think you have conducted the revisions to the best of your ability, put the revised version aside for at least a day. Come back to it and read it through again. Read your ‘response to reviewers’ document again. Make any further changes you deem necessary.
  15. Take another deep breath … and resubmit your article. Good luck!

My publications in 2016

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Books

Lupton, D. (2016) The Quantified Self: A Sociology of Self-Tracking. Cambridge: Polity Press.

Edited special issues

Digitised health, medicine and risk’, Health, Risk & Society (volume 17, issue 7-8), 2016 (my editorial for this issue is available here).

Book chapters

Lupton, D. (2016) Digitized health promotion: risk and personal responsibility for health in the Web 2.0 era. In Davis, J. and Gonzalez, A. M. (eds), To Fix or To Heal: Patient Care, Public Health, and the Limits of Biomedicine. New York: New York University Press, pp. 152—76. (A preprint version is available here.)

Lupton, D. (2016) Digital risk society. In Zinn, J., Burgess, A. and Alemanno, A. (eds), The Routledge Handbook of Risk Studies. London: Routledge, pp. 301—9. (A preprint version is available here.)

Lupton, D. (2016) You are your data: self-tracking practices and concepts of data. In Selke, Stefan (ed.), Lifelogging: Digital Self-Tracking: Between Disruptive Technology and Cultural Change. Zurich: Springer, pp. 61—79. (A preprint version is available here.)

Lupton, D. (2016) Digital health technologies and digital data: new ways of monitoring, measuring and commodifying human bodies. In Olleros, F. X. and Zhegu, M. (eds), Research Handbook of Digital Transformations. New York: Edward Elgar, pp. 84—102. (A preprint version is available here.)

Lupton, D. (2016) Personal data practices in the age of lively data. In Daniels, J., Gregory, K. and McMillan Cottom, T. (eds), Digital Sociologies. London: Policy Press, 335—350. (A preprint version is available here.)

Lupton, D. (2016) ‘Mastering your fertility’: the digitised reproductive citizen. In McCosker, A., Vivienne, S. and Johns, A. (eds), Negotiating Digital Citizenship: Control, Contest and Culture. London: Rowman and Littlefield, pp. 81—93. (A preprint version is available here.)

Journal articles

Thomas, G.M. and Lupton, D. (2016) Threats and thrills: pregnancy apps, risk and consumption. Health, Risk & Society, 17(7-8), 495—509.

Lupton, D. (2016) Digital companion species and eating data: implications for theorising digital data-human assemblages. Big Data & Society, 3(1), online, available at http://bds.sagepub.com/content/3/1/2053951715619947

Lupton, D. (2016) Towards critical health studies: reflections on two decades of research in Health and the way forward. Health, 20(1), 49—61.

Michael, M. and Lupton, D. (2016) Toward a manifesto for ‘a public understanding of big data’. Public Understanding of Science, 25(1), 104—116.

Lupton, D. (2016) The diverse domains of quantified selves: self-tracking modes and dataveillance. Economy & Society, 45(1), 101—122.

Lupton, D. (2016) The use and value of digital media information for pregnancy and early motherhood: a focus group study. BMC Pregnancy and Childbirth, 16(171), online, available at http://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-016-0971-

Lupton, D., Pedersen, S. and Thomas, G.M. (2016) Parenting and digital media: from the early web to contemporary digital society. Sociology Compass, 10(8), 730—743.

Lupton, D. and Pedersen, S. (2016) An Australian survey of women’s use of pregnancy and parenting apps. Women and Birth, 29, 368—375.

Sumartojo, S., Pink, S., Lupton, D. and Heyes Labond, C. (2016) The affective intensities of datafied space. Emotion, Space and Society, 21, 33—40.

Pedersen, S. and Lupton, D. (2016) ‘What are you feeling right now?’ Communities of maternal feeling on Mumsnet. Emotion, Space & Society, online ahead of print: http://www.sciencedirect.com/science/article/pii/S175545861630010X

Lupton, D. (2016) Digital media and body weight, shape, and size: an introduction and review. Fat Studies, online ahead of print: http://www.tandfonline.com/doi/abs/10.1080/21604851.2017.1243392

Lupton, D. (2016) Lively devices, lively data and lively leisure studies. Leisure Studies, 35(6), 709—711.

 

 

3D printing technologies: social perspectives

I have mused before on this blog about the need for sociocultural and critical perspectives on 3D printing technologies (see here). I recently submitted an entry on 3D printing for the Wiley Blackwell Encyclopedia of Sociology. This entry needed to be very short, and in writing it I worked from a longer working paper that includes more detail and references. This working paper can be found here – the abstract is below.

Three-dimensional (3D) printing is a process of fabricating objects using computer-aided design software and hardware that responds to instructions from the software. In this working paper, I provide an overview of 3D printing technologies, including their current and proposed uses. It has been suggested that these technologies offer a way of contributing to the reduction of environmental pollution by reducing the need for transporting goods and minimising waste and energy use in production and may lead to third industrial revolution, including in developing countries. The technologies have also been heralded as promoting open knowledge sharing and creative coding and as potentially contributing to participatory design opportunities and the democratisation of invention, as well as education and cultural heritage. The paper addresses the social, cultural, political and ethical issues concerning 3D printing and outlines directions for future sociological research on these technologies.

Affective atmospheres and digital health

I have just submitted an essay for the special issue of Digital Health I am editing on the senses and digital health. In the essay I outline how the concept of affective atmospheres can be used to understand how and why people use or fail to take up digital health technologies, with a particular focus on the sensory and affective dimensions of these responses. The preprint version is available here, and the abstract is below.

The concept of affective atmospheres has recently emerged in cultural geography to refer to the feelings that are generated by the interactions and movements of human and nonhuman actors in specific spaces and places. Affective atmospheres can have profound effects on the ways in which people think and feel about and sense the spaces they inhabit and through which they move and the other actors in those spaces. Thus far, very little research has adopted this concept to explore the ways in which digital health technologies are used. As part of seeking to redress this lacuna, in this essay I draw on previously published literature on affective atmospheres to demonstrate and explain the implications of this scholarship for future theoretical and empirical scholarship about digital health practices that pays attention to their affective and sensory elements. The article is structured into six parts. The first part outlines the concepts and research practices underpinning affective atmospheres scholarship. In the second part, I review some of the research that looks at place, space and mobilities in relation to affective atmospheres. In the third part I go on to focus more specifically on the affective atmospheres of medical encounters, and then move on to digital technology use in the fourth part. I then address in the fifth part some relevant scholarship on digital health technologies. I end the essay with some reflections of directions in which future research taking up the concept of affective atmospheres in the context of digital health technologies can go. The key research question that these topics all work towards is that asking ‘How does digital health feel?’

Fat, thin and fit bodies in digital media

 

I have just completed an introduction for a special issue of the journal Fat Studies on digital media and body weight, shape and size. Here’s an edited excerpt from the introduction. (Update: the introduction has now been published, and can be viewed here.)

Numerous researchers have called attention to the ways in which often very negative portrayals of fat embodiment circulate in the popular media. Despite the growing presence of attempts to counter these portrayals, online representations of fat bodies that seek to challenge accepted norms and engage in fat activist politics continue to be far outnumbered by those that continue to stigmatize and shame fat people and portray thin bodies as more desirable, healthy and attractive. A content analysis of the representation of “obesity” on YouTube (Yoo and Kim 2012) found that highly negative representations of fat people were common, as were those that attributed personal responsibility for body weight (such as showing fat people eating unhealthy food) and made fun of fat people. Another study of YouTube videos using the search term “fat” (Hussin et al. 2011) revealed that many highly-viewed videos included content that devalued fat people. Men were targeted for fat stigmatization twice as often as women, and white people were the targets far more frequently than other ethnic or racial groups. The antagonists engaging in active shaming or vilification of fat people were also overwhelmingly white men.

My own search for the term “fat people” on YouTube in September 2016 returned many top-ranked videos in which fat people are held up to ridicule and scorn. These bore such titles as “Fat People Fails,” featuring fat people falling over, breaking furniture or otherwise publicly humiliating themselves as well as “The Top Fattest People in the World,” and “Fat People Cringe,” all featuring fat bodies in the style of the freak show. These videos all have millions of views. A Google search for “fat memes” similarly found memes that not only stigmatize fat bodies but are blatantly abusive and often cruel. Just some examples I came across include unflattering images of fat people with texts such as “I’m fat because obesity runs in my family. No-one runs in your family,” “I’m lazy because I’m fat and I’m fat because I’m lazy,” and “Sometimes when I’m sad I like to cut myself … another slice of cheesecake.” When I looked for “fat GIFs” on the GIFY platform, here again were many negative portrayals of fat people, including cartoon characters like Homer Simpson as well as real people, again engaging in humiliating bodily performances. Many of these GIFs showed people jiggling their abdomens or dancing to demonstrate the magnitude of their flesh, belly flopping into swimming pools, eating greedily, smeared with food and so on. Here again, fat white men predominated as targets of ridicule.

Apps are another dominant media form that often focuses on the monitoring, representation and even gamification of human embodiment. As I have argued elsewhere, the ways in which game apps portray social groups can often reproduce and exacerbate negative or misleading stereotypes, including racism, sexism, healthism and norms of feminine embodiment privileging highly-groomed, youthful, physically fit and slim bodies (Lupton 2015, Lupton and Thomas 2015). When I searched the App Annie platform using the term “fat,” a plethora of apps portraying fat bodies in negative ways were identified. These included several game apps that represented fat people as ugly, greedy, lazy and gormless figures of fun who need encouragement to engage in weight-loss activities. Many other apps involve users (who are assumed not to be fat) manipulating images of themselves or others so that they look fat. These include “FatGoo”, marketed by its developers in the following terms: “Gaining weight is now fun! FatGoo is the ultimate app for creating hilarious fat photos of your friends and family.” Others of this ilk include “Fatty – Make Funny Fat Face Pictures,” “Fat You!,” “FatBooth” and “Fatify – Get Fat.” Another fat app genre is that which uses abusive terms to shame people into controlling their diet and lose weight. One example is “CARROT Hunger – Talking Calorie Counter.” It is marketed by its developer as a “judgemental calorie counter” which will “punish you for overindulging.” The app can be used to scan foods for their calorie content. If it judges food as too high in calories, users are abused with insulting epithets such as “flabby meatbags” and even tweets shaming messages about them to their Twitter followers. While such apps may be considered by some as harmless fun, they play a serious ideological role in stigmatizing and rendering abject fatness and fat people.

… Thinspiration is a profoundly gendered discourse. Far more female than male bodies feature in digital images tagged with #thinspiration or #thinspo. I noted earlier that white men tend to be targeted for ridicule in memes and GIFs. Interestingly, my search for “skinny” or “thin” memes and GIFs also hold up white male bodies to derision, this time drawing attention to thin men as lacking appropriate muscular strength. Many memes show half-naked thin men in body-building poses, seeking to highlight their lack of size. When skinny women are featured in memes and GIFS, it is usually in relation to women who falsely claim or complain about being fat or else are sexualized images of young women in swimwear displaying their lean bodies (often tagged in GIFs with #hot #beauty, #perfect and #sexy as well as #thin, #thispo or #skinny). Thin women, these memes suggest, are to be envied because they conform to conventions of female attractiveness. In contrast, thin men are deficient because they fail to achieve ideals of masculine strength and size. The fitspiration or fitspo terms are more recent, but they also take up and reproduce many of the ideals of thinspiration, and similarly have a strong focus on physical appearance and conventional sexual attractiveness. The bodies that are championed in fitspiration are physically toned, active, strong and fit as well as slim (but not emaciated), and are similarly eroticized, with both female and male bodies featuring (Boepple et al. 2016, Boepple and Thompson 2016, Tiggemann and Zaccardo 2016).

References

Boepple, L., Ata, R.N., Rum, R. and Thompson, J.K. (2016) Strong is the new skinny: a content analysis of fitspiration websites. Body Image, 17 132-135.

Boepple, L. and Thompson, J.K. (2016) A content analytic comparison of fitspiration and thinspiration websites. International Journal of Eating Disorders, 49 (1), 98-101.

Hussin, M., Frazier, S. and Thompson, J.K. (2011) Fat stigmatization on YouTube: a content analysis. Body Image, 8 (1), 90-92.

Lupton, D. (2015) Digital Sociology. London: Routledge.

Lupton, D. and Thomas, G.M. (2015) Playing pregnancy: the ludification and gamification of expectant motherhood in smartphone apps. M/C Journal (5). Accessed 22 October 2015. Available from http://journal.media-culture.org.au/index.php/mcjournal/article/viewArticle/1012.

Tiggemann, M. and Zaccardo, M. (2016) ‘Strong is the new skinny’: a content analysis of #fitspiration images on Instagram. Journal of Health Psychology, online ahead of print.

Yoo, J.H. and Kim, J. (2012) Obesity in the new media: a content analysis of obesity videos on YouTube. Health Communication, 27 (1), 86-97.