Department of Human-Centered Computing

 

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  • Bonilla, Karen; Martin-Hammond, Aqueasha (2020)
    The significant increase in the availability of intelligent virtual assistants (IVA) such as Amazon Alexa or Google Home provides a potential array of benefits to the daily life of older adult consumers; however, this ...
  • Karimi, Pegah; Martin-Hammond, Aqueasha (ACM, 2020-09)
    Recalling medical instructions provided during a doctor's visit can be difficult due to access barriers, primarily for older adults who visit doctors multiple times per year and rely on their memory to act on doctor's ...
  • Trajkova, Milka; Martin-Hammond, Aqueasha (ACM, 2020-04)
    Intelligent voice assistants (IVAs) have the potential to support older adults' independent living. However, despite a growing body of research focusing on IVA use, we know little about why older adults become IVA non-users. ...
  • Kim, Yanghee; D'Angelo, Cynthia; Cafaro, Francesco; Ochoa, Xavier; Espino, Danielle; Kline, Aaron; Hamilton, Eric; Lee, Seung; Butail, Sachit; Liu, Lichuan; Trajkova, Milka; Tscholl, Michael; Hwang, Jaejin; Lee, Sungchul; Kwon, Kyungbin (International Society of the Learning Sciences (ISLS), 2020-06)
    This symposium will discuss the current status of the research and development of multimodal data analytics (MDA) for the observation of collaboration. Five research groups will present their current work on MDA, each ...
  • Trajkova, Milka; Alhakamy, A’aeshah; Cafaro, Francesco; Vedak, Sanika; Mallappa, Rashmi; Kankara, Sreekanth R. (MDPI, 2020-09)
    Social networking sites such as Twitter have been a popular choice for people to express their opinions, report real-life events, and provide a perspective on what is happening around the world. In the outbreak of the ...
  • Matuk, Camillia; Matuk, Camillia; Susan Yoon; Polman, Joseph; Amato, Anna; Barton, Jacob; Bulalacao, Nicole Marie; Cafaro, Francesco; Haldar, Lina Chopra; Cottone, Amanda; Cortes, Krista; DesPortes, Kayla; Erickson, Tim; Finzer, William; Taylor, Katie Headrick; Herbel-Eisenmann, Beth; Graville, Cynthia; Gutiérrez, Kris; Higgins, Traci; Himes, Blanca; Lanouette, Kathryn; Lee, Hollylynne; Lim, Vivian; Lopez, M. Lisette; Lyons, Leilah; Milz, Dan; Olivares, Maria C.; Osche, Elizabeth; Parikh, Tapan S.; Philip, Thomas; Rubel, Laurie; Shelley, Joey; Rivero, Edward; Roberts, Jessica; Roberto, Collette; Petrosino, Tony; Rubin, Andee; Shim, Jooeun; Silander, Megan; Sommer, Stephen; Stokes, David; Tes, Marian; Trajkova, Milka; Urbanowicz, Ryan; Vacca, Ralph; Van Wart, Sarah; Vasudevan, Veena; Wilkerson, Michelle; Woods, Peter J. (2020-06)
    The projects in this interactive poster symposium explore ways of engaging learners with social justice issues through the design and study of data literacy interventions. These interventions span classroom to museum ...
  • Faklaris, Cori; Cafaro, Francesco; Blevins, Asa; O’Haver, Matthew A.; Singhal, Neha (MDPI, 2020-03)
    With the advent of mobile apps such as Periscope, Facebook Live, and now TikTok, live-streaming video has become a commonplace form of social computing. It has not been clear, however, to what extent the current ubiquity ...
  • Ress, Stella A.; Cafaro, Francesco (MDPI, 2021-01)
    This paper utilizes a visitor survey conducted at an open-air museum in New Harmony, Indiana to discuss design guidelines for immersive technologies that support historic interpretation–specifically, the visitor’s ability ...
  • Trajkova, Milka; Alhakamy, A'aeshah; Cafaro, Francesco; Vedak, Sanika; Mallappa, Rashmi; Kankara, Sreekanth R. (MDPI, 2020-09)
    Social networking sites such as Twitter have been a popular choice for people to express their opinions, report real-life events, and provide a perspective on what is happening around the world. In the outbreak of the ...
  • Koonchanok, Ratanond; Baser, Parul; Sikharam, Abhinav; Raveendranath, Nirmal Kumar; Reda, Khairi (2021)
    Interactive visualizations are widely used in exploratory data analysis, but existing systems provide limited support for confirmatory analysis. We introduce PredictMe, a tool for belief-driven visual analysis, enabling ...
  • Herzog, Patricia Snell; Naik, Harshal R.; Khan, Haseeb A. (Indiana University Lilly Family School of Philanthropy and Indiana University School of Informatics and Computing, IUPUI, Indianapolis, IN., 2021-02-07)
    This project investigates philanthropic activities related to Artificial Intelligence, Machine Learning, and Data Science technology (AIMS). Advances in AIMS technology are impacting the field of philanthropy in substantial ...
  • Wee, Keng Boon; Dwi Pramono, Zacharias Aloysius; Wang, Jian Li; MacDorman, Karl F.; Lai, Poh San; Yee, Woon Chee (PLOS, 2008-03-26)
    Antisense oligonucleotides (AONs) mediated exon skipping offers potential therapy for Duchenne muscular dystrophy. However, the identification of effective AON target sites remains unsatisfactory for lack of a precise ...
  • Reda, Khairi; Potts, Caleb; Childers, Taylor (2019)
    We investigate how to co-opt the perception of causality to aid the analysis of multivariate data. We propose Dynamic Glyphs (DyGs), an animated extension to traditional glyphs. DyGs encode data relations through seemingly ...
  • Choi, In Kwon; Raveendranath, Nirmal Kumar; Westerfield, Jared; Reda, Khairi (IEEE, 2019-07)
    Data visualization provides a powerful way for analysts to explore and make data-driven discoveries. However, current visual analytic tools provide only limited support for hypothesis-driven inquiry, as their built-in ...
  • Sanders, Jamie; Glenn-Smith, Ina; Purnell, Tanjala S.; Martin-Hammond, Aqueasha; Charleston, Jeanne (ACM, 2020-01)
    Cardiovascular disease (CVD) is the leading causes of death in the United States and worldwide. While CVD risk factors are well-known and many can be changed with diet and exercise, more research is needed to understand ...
  • Reda, Khairi; Papka, Michael E. (IEEE, 2019-10)
    Color mapping is a commonly used technique for visualizing scalar fields. While there exists advice for choosing effective colormaps, it is unclear if current guidelines apply equally across task types. We study the ...
  • Masterson, Yamini; Brady, Erin; Miller, Andrew (JMIR, 2019)
    Background: The effects of brain injury, structural damage, or the physiological disruption of brain function last far beyond initial clinical treatment. Self-tracking and management technologies have the potential to help ...
  • Khovanskaya, Vera; Sengers, Phoebe; Dombrowski, Lynn (ACM, 2020-04)
    This paper provides insight into the use of data tools in the American labor movement by analyzing the practices of staff employed by unions to organize alongside union members. We interviewed 23 field-level staff organizers ...
  • Trajkova, Milka; Alhakamy, A’aeshah; Cafaro, Francesco; Mallappa, Rashmi; Kankara, Sreekanth R. (ACM, 2020-04)
    Museums have embraced embodied interaction: its novelty generates buzz and excitement among their patrons, and it has enormous educational potential. Human-Data Interaction (HDI) is a class of embodied interactions that ...
  • Nikkhah, Sarah; Murillo, Angela P.; Young, Alyson Leigh; Miller, Andrew D. (Emerald, 2020)
    Purpose This study examines Iran-US migrants' use of the most popular messaging application in Iran—Telegram—and shows how they use it to manage their migration information practices. Design/methodology/approach This ...

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