Weight Bias in Design: Unpacking Implicit Researcher Beliefs for Building Empathy
Pages 40 - 45
Abstract
Weight bias, or associating negative stereotypes and assumptions about individuals because of their weight, is prevalent at every level of society. Building an empathetic relationship with the groups of interest is an integral part of human-centered design; however, the unconscious beliefs of the researchers could limit the understanding of anticipated users and impact the research process. Focusing on weight management, this position paper highlights the need for HCI researchers to critically reflect on their own biases and perspectives to better empathize with the experiences of those they are working with. To promote a deeper understanding of individuals with larger bodies, we propose a set of methods, some of which repurpose established design techniques but augment them with critical reflection to uncover researchers’ unconscious beliefs and implicit biases. We discuss some important considerations for these techniques and their implications for future research directions for empathy in HCI.
References
[1]
David B Allison, Vincent C Basile, and Harold E Yuker. 1991. The measurement of attitudes toward and beliefs about obese persons. International Journal of Eating Disorders 10, 5 (1991), 599–607.
[2]
Anandi Alperin, Matthew J Hornsey, Lydia E Hayward, Phillippa C Diedrichs, and Fiona Kate Barlow. 2014. Applying the contact hypothesis to anti-fat attitudes: Contact with overweight people is related to how we interact with our bodies and those of others. Social Science & Medicine 123 (2014), 37–44.
[3]
TELLEZ F Andresa and GONZALEZ-TOBON Juanitab. 2019. Empathic design as a framework for creating meaningful experiences. In Conference Proceedings of the Academy for Design Innovation Management, Vol. 2. 908–918.
[4]
Rinako Bagrowicz, Chiho Watanabe, and Masahiro Umezaki. 2013. Is obesity contagious by way of body image? A study on Japanese female students in the United States. Journal of community health 38 (2013), 834–837.
[5]
Simar Singh Bajaj and Fatima Cody Stanford. 2021. Dignity and respect: people-first language with regard to obesity. Obesity surgery 31, 6 (2021), 2791–2792.
[6]
C Daniel Batson and Nadia Y Ahmad. 2009. Using empathy to improve intergroup attitudes and relations. Social issues and policy review 3, 1 (2009), 141–177.
[7]
Kathy Baxter, Catherine Courage, and Kelly Caine. 2015. Understanding your users: a practical guide to user research methods. Morgan Kaufmann.
[8]
Adrian Brown, Stuart W Flint, and Rachel L Batterham. 2022. Pervasiveness, impact and implications of weight stigma. EClinicalMedicine 47 (2022).
[9]
Deb Burgard. 2009. What is “health at every size”? In The fat studies reader. New York University Press New York, 41–53.
[10]
Christopher N Chapman and Russell P Milham. 2006. The personas’ new clothes: methodological and practical arguments against a popular method. In Proceedings of the human factors and ergonomics society annual meeting, Vol. 50. SAGE Publications Sage CA: Los Angeles, CA, 634–636.
[11]
Vivian Hsueh Hua Chen, Sarah Hian May Chan, and Yong Ching Tan. 2021. Perspective-taking in virtual reality and reduction of biases against minorities. Multimodal Technologies and Interaction 5, 8 (2021), 42.
[12]
Christian S Crandall. 1994. Prejudice against fat people: ideology and self-interest.Journal of personality and social psychology 66, 5 (1994), 882.
[13]
Benjamin MP Cuff, Sarah J Brown, Laura Taylor, and Douglas J Howat. 2016. Empathy: A review of the concept. Emotion review 8, 2 (2016), 144–153.
[14]
Valerie J Douglas, Mun Yee Kwan, Allison M Minnich, Jocelyn N Converse, Joseph A Wonderlich, and Kathryn H Gordon. 2022. An examination of the link between empathy and weight-based victimization. Social Sciences & Humanities Open 5, 1 (2022), 100247.
[15]
John F Dovidio, Kerry Kawakami, Craig Johnson, Brenda Johnson, and Adaiah Howard. 1997. On the nature of prejudice: Automatic and controlled processes. Journal of experimental social psychology 33, 5 (1997), 510–540.
[16]
Luce Drouet, Kerstin Bongard-Blanchy, Vincent Koenig, and Carine Lallemand. 2022. Empathy in design scale: development and initial insights. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–7.
[17]
Bettina Friedrich, Sara Evans-Lacko, Jillian London, Danielle Rhydderch, Claire Henderson, and Graham Thornicroft. 2013. Anti-stigma training for medical students: the Education Not Discrimination project. The British Journal of Psychiatry 202, s55 (2013), s89–s94.
[18]
Sharon M Fruh, Rebecca J Graves, Caitlyn Hauff, Susan G Williams, and Heather R Hall. 2021. Weight bias and stigma: Impact on health. Nursing Clinics 56, 4 (2021), 479–493.
[19]
Jane Fulton Suri. 2003. Empathic design: Informed and inspired by other people’s experience. Empathic design: User experience in product design (2003), 51–58.
[20]
Corinne Gale and Thomas Schröder. 2014. Experiences of self-practice/self-reflection in cognitive behavioural therapy: A meta-synthesis of qualitative studies. Psychology and Psychotherapy: Theory, Research and Practice 87, 4 (2014), 373–392.
[21]
Adam D Galinsky and Gordon B Moskowitz. 2000. Perspective-taking: decreasing stereotype expression, stereotype accessibility, and in-group favoritism.Journal of personality and social psychology 78, 4 (2000), 708.
[22]
Adam D Galinsky, Cynthia S Wang, and Gillian Ku. 2008. Perspective-takers behave more stereotypically.Journal of personality and social psychology 95, 2 (2008), 404.
[23]
Gail Geller and Paul A Watkins. 2018. Addressing medical students’ negative bias toward patients with obesity through ethics education. AMA journal of ethics 20, 10 (2018), 948–959.
[24]
Tracy P George, Claire DeCristofaro, and Pamela F Murphy. 2019. Unconscious weight bias among nursing students: a descriptive study. In Healthcare, Vol. 7. MDPI, 106.
[25]
Jamie Lee Gloor and Rebecca M Puhl. 2016. Empathy and perspective-taking: Examination and comparison of strategies to reduce weight stigma.Stigma and Health 1, 4 (2016), 269.
[26]
Anthony G Greenwald, Debbie E McGhee, and Jordan LK Schwartz. 1998. Measuring individual differences in implicit cognition: the implicit association test.Journal of personality and social psychology 74, 6 (1998), 1464.
[27]
Sara D Hodges and Robert Biswas-Diener. 2007. Balancing the empathy expense account: Strategies for regulating empathic response. Empathy in mental illness (2007), 389–407.
[28]
Tobias Jungnickel, Ute von Jan, Stefan Engeli, and Urs-Vito Albrecht. 2022. Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study. Therapeutic Advances in Endocrinology and Metabolism 13 (2022), 20420188221098881.
[29]
Yang Liu and Zhijun Yin. 2020. Understanding weight loss via online discussions: content analysis of Reddit posts using topic modeling and word clustering techniques. Journal of medical Internet research 22, 6 (2020), e13745.
[30]
Nicola Marsden and Maren Haag. 2016. Stereotypes and politics: reflections on personas. In Proceedings of the 2016 CHI conference on human factors in computing systems. 4017–4031.
[31]
Adrienne L Massanari. 2010. Designing for imaginary friends: information architecture, personas and the politics of user-centered design. new media & society 12, 3 (2010), 401–416.
[32]
Tomasz Miaskiewicz and Kenneth A Kozar. 2011. Personas and user-centered design: How can personas benefit product design processes?Design studies 32, 5 (2011), 417–430.
[33]
Jeff Niederdeppe, Michael A Shapiro, and Norman Porticella. 2011. Attributions of responsibility for obesity: Narrative communication reduces reactive counterarguing among liberals. Human Communication Research 37, 3 (2011), 295–323.
[34]
Majella O’Keeffe, Stuart W Flint, Krista Watts, and Francesco Rubino. 2020. Knowledge gaps and weight stigma shape attitudes toward obesity. The Lancet Diabetes & Endocrinology 8, 5 (2020), 363–365.
[35]
Mary Beth Oliver, James Price Dillard, Keunmin Bae, and Daniel J Tamul. 2012. The effect of narrative news format on empathy for stigmatized groups. Journalism & Mass Communication Quarterly 89, 2 (2012), 205–224.
[36]
Blakeley H Payne, Jordan Taylor, Katta Spiel, and Casey Fiesler. 2023. How to Ethically Engage Fat People in HCI Research. In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing. 117–121.
[37]
Rebecca L Pearl and Matthew S Lebowitz. 2014. Beyond personal responsibility: Effects of causal attributions for overweight and obesity on weight-related beliefs, stigma, and policy support. Psychology & health 29, 10 (2014), 1176–1191.
[38]
Sean M Phelan, Diana J Burgess, Mark W Yeazel, Wendy L Hellerstedt, Joan M Griffin, and Michelle van Ryn. 2015. Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obesity reviews 16, 4 (2015), 319–326.
[39]
Rebecca Puhl and Kelly D Brownell. 2013. Bias, discrimination and obesity. Health and Human Rights in a Changing World (2013), 581–606.
[40]
Rebecca M Puhl and Kelly D Brownell. 2006. Confronting and coping with weight stigma: an investigation of overweight and obese adults. Obesity 14, 10 (2006), 1802–1815.
[41]
Rebecca M Puhl, Mary S Himmelstein, and Rebecca L Pearl. 2020. Weight stigma as a psychosocial contributor to obesity.American Psychologist 75, 2 (2020), 274.
[42]
Rebecca M Puhl, Janet D Latner, Kerry O’Brien, Joerg Luedicke, Sigrún Daníelsdóttir, and Mary Forhan. 2015. A multinational examination of weight bias: predictors of anti-fat attitudes across four countries. International Journal of Obesity 39, 7 (2015), 1166–1173.
[43]
Eric Robinson and Tim C Kirkham. 2014. Is he a healthy weight? Exposure to obesity changes perception of the weight status of others. International Journal of Obesity 38, 5 (2014), 663–667.
[44]
Marlene B Schwartz, Heather O’Neal Chambliss, Kelly D Brownell, Steven N Blair, and Charles Billington. 2003. Weight bias among health professionals specializing in obesity. Obesity research 11, 9 (2003), 1033–1039.
[45]
Allie Slemon, Corey McAuliffe, Trevor Goodyear, Liza McGuinness, Elizabeth Shaffer, and Emily K Jenkins. 2021. Reddit users’ experiences of suicidal thoughts during the COVID-19 pandemic: a qualitative analysis of r/Covid19_support posts. Frontiers in public health 9 (2021), 693153.
[46]
Thorkild IA Sørensen, Andrea Rodriguez Martinez, and Terese Sara Høj Jørgensen. 2022. Epidemiology of obesity. In From Obesity to Diabetes. Springer, 3–27.
[47]
Katta Spiel. 2021. The bodies of tei–investigating norms and assumptions in the design of embodied interaction. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. 1–19.
[48]
Katta Spiel, Fares Kayali, Louise Horvath, Michael Penkler, Sabine Harrer, Miguel Sicart, and Jessica Hammer. 2018. Fitter, happier, more productive? The normative ontology of fitness trackers. In Extended abstracts of the 2018 CHI conference on human factors in computing systems. 1–10.
[49]
Britta Talumaa, Adrian Brown, Rachel L Batterham, and Anastasia Z Kalea. 2022. Effective strategies in ending weight stigma in healthcare. Obesity Reviews 23, 10 (2022), e13494.
[50]
Rhiannon N Turner, Tim Wildschut, and Constantine Sedikides. 2012. Dropping the weight stigma: Nostalgia improves attitudes toward persons who are overweight. Journal of Experimental Social Psychology 48, 1 (2012), 130–137.
[51]
Mara Z Vitolins, Sonia Crandall, David Miller, Eddie Ip, Gail Marion, and John G Spangler. 2012. Obesity educational interventions in US medical schools: a systematic review and identified gaps. Teaching and Learning in Medicine 24, 3 (2012), 267–272.
[52]
Valtteri Wikström, Silja Martikainen, Mari Falcon, Niina Seittenranta, Pyry Heikkinen, and Katri Saarikivi. 2022. CoBlok: Collaborative performance in virtual reality and face-to-face. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–4.
[53]
Larry E Wood. 1997. Semi-structured interviewing for user-centered design. interactions 4, 2 (1997), 48–61.
[54]
Peter Wright, Mark Blythe, and John McCarthy. 2005. User experience and the idea of design in HCI. In International Workshop on Design, Specification, and Verification of Interactive Systems. Springer, 1–14.
[55]
Peter Wright and John McCarthy. 2008. Empathy and experience in HCI. In Proceedings of the SIGCHI conference on human factors in computing systems. 637–646.
Index Terms
- Weight Bias in Design: Unpacking Implicit Researcher Beliefs for Building Empathy
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May 2024
75 pages
ISBN:9798400717888
DOI:10.1145/3661790
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Published: 26 June 2024
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