Johanna Okerlund's research while affiliated with University of North Carolina at Charlotte and other places

... • Hegemonic masculinity, or the dominant, singular model of masculinity in a given society, which was not referenced, but used in several papers [2,99,118,190,227]. • Toxic masculinity, also not defined or sourced but used in several papers [25,112,142,146,168]. • Normative masculinity, referring to adherence to a given society's expectations for men and masculinities, described as "being assertive, demonstrating bravery through risk-taking, upholding heterosexuality and rejecting femininity, and establishing dominance through aggression" ... "appreciating and practicising sports" [168,211], with references to Mahalik et al. [127] and Pascoe and Bridges [152]. ...

... On the same line, Ramey (2017), Blackley et al. (2016), Lyublinskaya and Sheehan (2019), and Blackley et al. (2018) as well, proved that makerspaces can increase students' interest in STEAM subjects. Likewise, Powell, Okerlund, Chi & Wilson (2018) through an experimental research, they proved that an activity of constructing a prosthetic hand had a positive influence on students' perceptions regarding the courses of science, technology, engineering and mathematics. ...

... This new paradigm is characterized by the mixing of computer and human initiative (Yannakakis et al., 2014) in the middle of a continuum between human creativity and autonomous computational creativity (Deterding et al., 2017). Improving the interaction design with more human-like abilities for conversing and embodied interaction leads to more engaging AI collaboration (Abdellahi et al., 2020;Lee et al., 2020). Despite powerful generative AI methods becoming more and more accessible for designers of creative systems, we still know relatively little about designing interactive generative AI, how to design creative user experiences around them, and the ethical challenges defined by the open-endedness and reuse of creative work. ...

... Brulé & Bailly, 2021;Buehler et al., 2016;Díaz-Navarro & Sánchez de La Parra-Pérez, 2021;Ford & Minshall, 2019;Giraud et al., 2017;Götzelmann, 2018;Gual-Ortí et al., 2015;Hernández Sánchez et al., 2020;Hurst & Tobias, 2011;Jain et al., 2018;Molins-Ruano et al., 2018;Okerlund & Wilson, 2019;Parry- Hill et al., 2017;Smith et al., 2020;Wedler et al., 2012;Wu et al., 2020). ...

... Earlier in the developer pipeline, research has considered how gendered presentation of computer science programs can shape a sense of belonging and interest bias, perhaps discouraging female students (Metaxa-Kakavouli et al., 2018). Further, more inclusive outreach activities such as gender-aware makerspace foci can improve gender balance in such community involvement (Okerlund et al., 2018). This work highlights the potential concerns stemming from a male-dominated robotics community and motivates the need to better understand how gender can be integrated into the robotic development process. ...

... Link prediction algorithms may induce relevant and novel connections between diverse stakeholders, goals, or obstacles. Community detection algorithms can identify under-explored and over-explored parts of the design space [6,13]. Pathfinding and traversal algorithms can answer questions like "What are the common obstacles of these two stakeholders?" to generate creative connections. ...

... Biodesign is an emerging research area that explores how integrating biological processes and computing technology leads to new interactive experiences [16]. Examples of biodesign in HCI include interactive museum installations that enable participants to playfully use tangible tokens to engineer synthetic bacteria [25,27] and the MicroAquarium, a digital-biological installation that enables human interaction with photo-tactic organisms by taking advantage of how these organisms respond to light [22]. FloraWear entails an alternative form of biodesign, supporting direct interactions with biological matter and processes rather than mediation through computing technology, such as simulations or virtual constructs. ...

... Another group of researchers brought interactivity into the informed consent process to create an engaging and personalized experience that facilitates consent form reading [2,4,7]. In an inperson setting, letting the researcher go through the consent form and answer the participant's questions is deemed the most effective and desirable [2]. ...

... However, many medical AI projects rely on identifiable or pseudonymised training data. In addition, there is the risk of re-identification of anonymised or pseudonymised health data, which increases as AI technology grows more sophisticated [14][15][16]. One example of such a re-identification process is the deep learning algorithm developed by Packhäuser and colleagues, which can link anonymised images from the already mentioned ChestX-Ray 14 database to non-anonymised chest X-rays in other data collections [17]. ...

... Russell (2003) states that people face complex information and try to make sense of it by creating representations of these complexities in this process. Similarly, sensemaking in self-tracking is cognitively demanding (Katz et al., 2018b;Prioleau et al., 2020;Rapp & Tirabeni, 2018) and resolves the uncertainty (e.g., being able to understand unfamiliar and complex data types such as genomics (Shaer et al., 2016)), while it potentially requires intense knowledge to resolve these uncertainties (Figueiredo et al., 2017;Jenkins et al., 2020;Lomborg et al., 2020;Oyg€ ur et al., 2020;Pingo & Narayan, 2019;Rapp, 2018;Rapp & Tirabeni, 2018;Shaer et al., 2016;Young & Miller, 2019). Klein et al. (2007) define sensemaking as the "deliberate effort to understand events" triggered by surprises or unexpected changes and therefore helps people see problems. ...