Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 2019
DOI: 10.1145/3290605.3300720
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Do We Care About Diversity in Human Computer Interaction

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Cited by 58 publications
(15 citation statements)
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“…Quantitative and qualitative content analysis appears in various flavours in HCI literature, though largely without providing external references to a specific method or approach. For example, 3 Black, Indigenous and People of Colour Himmelsbach et al, conducted a quantitative content analysis to understand if and how the HCI literature articulates care regarding diversity issues [45]; Keyes reviewed works in the area of automated gender recognition through (quantitative) content analysis, but similarly does not provide a concrete methodological reference [60]; and Andalibi et al analysed Instagram content tagged with #Depression to understand social support in this space better [4]. However, none of these works contain methodological references alluding to the epistemological commitments involved beyond other works employing similar approaches.…”
Section: Methodsmentioning
confidence: 99%
“…Quantitative and qualitative content analysis appears in various flavours in HCI literature, though largely without providing external references to a specific method or approach. For example, 3 Black, Indigenous and People of Colour Himmelsbach et al, conducted a quantitative content analysis to understand if and how the HCI literature articulates care regarding diversity issues [45]; Keyes reviewed works in the area of automated gender recognition through (quantitative) content analysis, but similarly does not provide a concrete methodological reference [60]; and Andalibi et al analysed Instagram content tagged with #Depression to understand social support in this space better [4]. However, none of these works contain methodological references alluding to the epistemological commitments involved beyond other works employing similar approaches.…”
Section: Methodsmentioning
confidence: 99%
“…Researchers have been found understate their subjects' identities to simplify the communication of findings and to strengthen the notion that their finding may be generalizable [21]. For example, Himmelsbach et al [37] [78] identified 140 (out of 13,999) CHI publications (papers, notes, alt.chi) between 1982 and 2016 that contain at least some level of study participants' identity description. The selection was based on 50 keywords assigned to the categories of "gender, race and class".…”
Section: Diversity Information In Papersmentioning
confidence: 99%
“…In their quantitative analysis of diversity in the ACM CHI Conference on Human Factors in Computing Systems (how often was diversity mentioned in papers published in the conference), Himmelsbach et al (2019) show that diversity has become increasingly relevant in HCI. Prominent diversity concepts include demographic criteria of users such as gender, age, sex, and education.…”
Section: Diversity Concepts In the Field Of Hcimentioning
confidence: 99%
“…On the other hand, computer scientists and designers increasingly leverage diversity as a concept in the design of their products. Areas in CS that increasingly engage with diversity include personalized recommendations (Ricci, Rokach, and Shapira 2015), diversity-sensitive human-computer interaction (HCI; Himmelsbach et al 2019), and design approaches for social justice (Costanza-Chock 2020). Furthermore, works on structural discrimination through algorithmic mediation (Benjamin 2019) and data bias (D'Ignazio and Klein 2020) deal with the risks of a lack of representation and flawed interpretations of diversity.…”
Section: Introductionmentioning
confidence: 99%