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Despite reports of mathematical talent in autism spectrum disorders (ASD), little is known about basic number processing abilities in affected children. We investigated number sense, the ability to rapidly assess quantity information, in 36 children with ASD and 61 typically developing controls. Numerical acuity was assessed using symbolic (Arabic numerals) as well as non-symbolic (dot array) formats. We found significant impairments in non-symbolic acuity in children with ASD, but symbolic acuity was intact. Symbolic acuity mediated the relationship between non-symbolic acuity and mathematical abilities only in children with ASD, indicating a distinctive role for symbolic number sense in the acquisition of mathematical proficiency in this group. Our findings suggest that symbolic systems may help children with ASD organize imprecise information.

Manipulative design features (known as dark patterns) are common in video games and adult-directed technologies, but their prevalence in children's interactive media has not been described. To develop a reliable coding scheme for gathering data on manipulative digital designs, describe their prevalence within apps used by a community-based sample of young children, and test hypotheses about associations of manipulative design features with socioeconomic status (SES). This cross-sectional study of a convenience sample of parents of children aged 3 to 5 years was conducted online. Eligible parents were legal guardians of a 3-to-5-year-old child, lived with their child at least 5 days per week, understood English, and were part of a family that owned at least 1 Android or iOS tablet or smartphone. For each participant, the 3 apps used for the longest duration by children with their own mobile devices were downloaded, played, and coded. Data were analyzed between April and August 2021. Child SES, operationalized as parent educational attainment and household income-to-needs ratio. Researchers assigned each child a prevalence score for manipulative design features (overall, gameplay pressure, purchase pressure, and advertisement viewing pressure) within the apps children played. Of 160 children in the sample, mean (SD) age was 4.0 (0.6) years; 120 children (75.0%) were non-Hispanic White, and 96 (60.0%) had a parent with a college degree or more. Manipulative designs promoted prolonged gameplay or purchases through 4 user experience typologies: parasocial relationship pressure occurred in 33 (24.8%) and 25 (18.8%) apps with characters; time pressure in 23 (17.3%) and 14 (10.5%) apps; navigation constraints in 61 (45.9%) and 49 (36.8%) apps; and attractive lures in 60 (45.1%) and 61 (45.9%) apps, respectively. Children from households whose parents had lower education levels had higher manipulative design prevalence scores than children whose parents had graduated from college (median [IQR] 3.7 [2.5-5.0] vs 3.0 [2.0-4.0]; P = .02), gameplay-prolonging design (2.3 [1.6-3.0] vs 2.0 [1.5-2.8]; P = .047), and purchase pressure (1.0 [0.5-1.5] vs 0.6 [0-1.3]; P = .02). Purchase pressure prevalence scores were higher for children from households with lower income (R = -0.18; P = .02). Design features that encourage monetization of children's digital experiences were common in this sample and disproportionately occurred in apps used by children with lower SES.

Designers of interactive technologies have long prioritized user engagement, and today’s popular end-user products are irresistibly engaging. Modern technology offers enormous value and convenience, but it has also led to widespread feelings of dissatisfaction, and users report wishing they had a different relationship with the technologies they use. Though families are avid technology users, this eager adoption has come with concerns about the impact of technology on family life and child development, and limit-setting is a salient topic in family contexts. This conversation is complicated by social narratives that pressure families to limit exposure to technology. My dissertation examines how families choose to integrate technology into daily life, how they wish they integrated technology into daily life, and what designers can do to help close the gap between the two. By building tools that families find easy to dynamically use and not use, as it suits their shifting needs, designers can support them in both making technology a meaningful part of daily life and also keeping it within bounds they feel good about. Here, I report first on a series of formative studies to understand families’ practices and values related to using technology. Across three investigations, I report on observational, interview, diary, and survey data from both parents and children. These studies show, for example, that many parents feel guilty when using personal devices in front of their children (even when they use them for only brief periods of time), children have a harder time complying with rules that ban technology in certain contexts (e.g., no phones at the dinner table) than rules that ban certain types of technology altogether (e.g., no social networking), and young children find it easier to transition away from screen media when the technology itself encourages them to do so than when parents encourage them to do so without the support of technology. Based on this background work, I next examine how designers might create systems that promote intentional usage behaviors. I present the design, development, and evaluation of two such systems: “MyTime,” created for adults, and “Plan & Play,” created for children. MyTime is a system-level persuasive technology for intentional smartphone use, and my deployment results indicate that it is effective in changing users’ habits in the short-term. Plan & Play translates evidence-based techniques for teaching self-regulation to preschoolers into a digital setting, and a lab study with parent-child pairs suggests that it supports children in engaging with tablets with intention. Across these studies, I examine how motivation, autonomy, family dynamics, and situated activities shape the ways in which families engage with and push back against technology. I argue that today’s parental controls, the primary design mechanism for limit-setting in family contexts, undermine children’s likelihood of self-regulating their own technology use and do not attempt to support families in mentoring children in becoming thoughtful consumers of technology. In a world where technology is available at every moment, managing one’s own media consumption has become an essential life skill. I hope that this work will shed new light on how designers can support users in engaging with technology with intention and leave them feeling more satisfied with their own behaviors.

With the rapid adoption of AI tools in learning contexts, it is vital to understand how these systems shape users' reading processes and cognitive engagement. We collected and analyzed text from 124 sessions with AI tools, in which students used these tools to support them as they read assigned readings for an undergraduate course. We categorized participants' prompts to AI according to Bloom's Taxonomy of educational objectives -- Remembering, Understanding, Applying, Analyzing, Evaluating. Our results show that ``Analyzing'' and ``Evaluating'' are more prevalent in users' second and third prompts within a single usage session, suggesting a shift toward higher-order thinking. However, in reviewing users' engagement with AI tools over several weeks, we found that users converge toward passive reading engagement over time. Based on these results, we propose design implications for future AI reading-support systems, including structured scaffolds for lower-level cognitive tasks (e.g., recalling terms) and proactive prompts that encourage higher-order thinking (e.g., analyzing, applying, evaluating). Additionally, we advocate for adaptive, human-in-the-loop features that allow students and instructors to tailor their reading experiences with AI, balancing efficiency with enriched cognitive engagement. Our paper expands the dialogue on integrating AI into academic reading, highlighting both its potential benefits and challenges.

Adolescents are particularly vulnerable to the pressures created by social media, such as heightened self-consciousness and the need for extensive self-presentation. In this study, we investigate how BeReal, a social media platform designed to counter some of these pressures, influences adolescents' self-presentation behaviors. We interviewed 29 users aged 13-18 to understand their experiences with BeReal. We found that BeReal's design focuses on spontaneous sharing, including randomly timed daily notifications and reciprocal posting, discourages staged posts, encourages careful curation of the audience, and reduces pressure on self-presentation. The space created by BeReal offers benefits such as validating an unfiltered life and reframing social comparison, but its approach to self-presentation is sometimes perceived as limited or unappealing and, at times, even toxic. Drawing on this empirical data, we propose design guidelines for platforms that support authentic self-presentation while fostering reciprocity and expanding beyond spontaneous photo-sharing. These guidelines aim to enable users to portray themselves more comprehensively and accurately, ultimately supporting teens' developmental needs, particularly in building authentic relationships.

In the rapidly evolving landscape of AI-mediated communication (AIMC), tools powered by Large Language Models (LLMs) are becoming integral to interpersonal communication. Employing a mixed-methods approach, we conducted a one-week diary and interview study to explore users' perceptions of these tools' ability to: 1) support interpersonal communication in the short-term, and 2) lead to potential long-term effects. Our findings indicate that participants view AIMC support favorably, citing benefits such as increased communication confidence, and finding precise language to express their thoughts, navigating linguistic and cultural barriers. However, the study also uncovers current limitations of AIMC tools, including verbosity, unnatural responses, and excessive emotional intensity. These shortcomings are further exacerbated by user concerns about inauthenticity and potential overreliance on the technology. Furthermore, we identified four key communication spaces delineated by communication stakes (high or low) and relationship dynamics (formal or informal) that differentially predict users' attitudes toward AIMC tools. Specifically, participants found the tool is more suitable for communicating in formal relationships than informal ones and more beneficial in high-stakes than low-stakes communication.

Through co-design interviews (\\(N=19\\)) and a design evaluation survey (N=136) with U.S. teens ages 13-18, we investigated teens' privacy management on social media. Our study revealed that 28% of teens with public accounts and 15% with private accounts experience \"dysfunctional fear,\" that is, fear that diminishes their quality of life or paralyzes them from taking necessary precautions. These fears fall into three categories: fear of uncontrolled audience reach, fear of online hostility, and fear of personal privacy missteps. While current approaches often emphasize individual vigilance and restrictive measures, our findings show this can paradoxically lead teens to either withdraw from beneficial social interactions or resign themselves to accept privacy violations, viewing them as inevitable. Drawing on teen input, we developed and evaluated ten design prototypes that emphasize empowerment over fear, system-wide explicit emphasis on privacy, clear privacy norms, and flexible controls. Survey results indicate teens perceive these approaches as effectively reducing privacy concerns while preserving social benefits. Our findings suggest that platforms will be more likely to protect teens' privacy and less likely to manufacture unnecessary fear if they include designs that minimize the impact on other users, have low trade-offs with existing features, require minimal user effort, and function independently of community behavior. Such designs include: 1) alerting users about potentially unintentional personal information disclosure and 2) following up on user reports.

Adolescents heavily rely on social media to build and maintain close relationships, yet current platform designs often make self-disclosure feel risky or uncomfortable. Through a three-part study involving 19 teens aged 13-18, we identify key barriers to meaningful self-disclosure on social media. Our findings reveal that while these adolescents seek casual, frequent sharing to strengthen relationships, existing platform norms often discourage such interactions. Based on our co-design interview findings, we propose platform design ideas to foster a more dynamic and nuanced privacy experience for teen social media users. We then introduce \\textbf{\\textit{trust-enabled privacy}} as a framework that recognizes trust -- whether building or eroding -- as central to boundary regulation, and foregrounds the role of platform design in shaping the very norms and interaction patterns that influence how trust unfolds. When trust is supported, boundary regulation becomes more adaptive and empowering; when it erodes, users resort to self-censorship or disengagement. This work provides empirical insights and actionable guidelines for designing social media spaces where teens feel empowered to engage in meaningful relationship-building processes.

We conducted semi-structured interviews with members of the LGBTQ community about their privacy practices and concerns on social networking sites. Participants used different social media sites for different needs and adapted to not being completely out on each site. We would value the opportunity to discuss the unique privacy and security needs of this population with workshop participants and learn more about the privacy needs of other marginalized user groups from researchers who have worked in those communities.