• Contact Info
Publications in VIVO
 

Voida, Stephen A

Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Voida directs the Too Much Information (TMI) research group at CU Boulder, where he and his multidisciplinary team of students conduct empirical, design, and systems research in personal informatics supporting physical, mental, and professional wellness. The primary focus of this research explores mental health informatics from a human-centered perspective, drawing on interdisciplinary research methods and theories from ubiquitous computing, computer-supported cooperative work, health informatics, and psychology/cognitive science. His research examines both the existing negative and potential positive influences of information technologies on people's mental health, based on the premise that technology is part of the mental health problem—and can also be part of the solution. Other research projects include the design and evaluation of context-aware technologies for managing type-1 and gestational diabetes as well as professional stress and burnout in the information workplace.

keywords

  • human-computer interaction, personal informatics, personal health informatics, mental health informatics, mHealth, clinical informatics, artificial pancreas systems, hybrid closed-loop insulin delivery systems, mobile computing, ubiquitous computing, tangible computing, ambient displays, collaborative computing, social computing, user interface design, personal information management, time management, interaction metaphors

Publications

selected publications

Teaching

courses taught

  • INFO 1121 - Introduction to Information Science: Designing Interactions
    Primary Instructor - Spring 2022 / Spring 2024
    Provides an introduction to human-centered design and the universal requirements of interactions with data, information and technologies. Studio experiences challenge students to consider the impact that information and computing technology design choices have on a) enabling diverse audiences to access, manipulate and experience information, and b) how differences get encoded by data and technology, ultimately reflecting biases.
  • INFO 4611 - Mastery in Information Science: Ubiquitous Computer Experience Design
    Primary Instructor - Spring 2019 / Spring 2021
    Introduces the field of ubiquitous computing, including sensors, ambient displays, tangibles, mobility, location awareness and context awareness. These topics are explored from a user-centered design perspectives, focusing on how a situated models of computing affect requirements gathering, interaction design, prototyping and evaluation. Students gain mastery with contemporary "UbiComp" technologies and learn to incorporate them into a user-centered design process. Counts as Mastery in Information Science. Same as INFO 5611.
  • INFO 4871 - Special Topics
    Primary Instructor - Fall 2019 / Fall 2020 / Spring 2022
    Special topics.
  • INFO 5611 - Mastery in Information Science: Ubiquitous Computer Experience Design
    Primary Instructor - Spring 2019 / Spring 2021
    Introduces the field of ubiquitous computing, including sensors, ambient displays, tangibles, mobility, location awareness and context awareness. These topics are explored from a user-centered design perspectives, focusing on how a situated models of computing affect requirements gathering, interaction design, prototyping and evaluation. Students gain mastery with contemporary "UbiComp" technologies and learn to incorporate them into a user-centered design process. Counts as Mastery in Information Science. Degree credit not granted for this course and INFO 4611.
  • INFO 5871 - Special Topics
    Primary Instructor - Fall 2020 / Spring 2022
    Topics will vary by semester.
  • INFO 6301 - Computation for Research in Information Science
    Primary Instructor - Fall 2018 / Spring 2020 / Fall 2021 / Fall 2023
    Examines the diversity of roles that computation can play in information science research, ranging from an overview of some data-driven practices to prototyping and infrastructure development to computation-as-research-support. Provides students with a level of computational literacy to engage with the multiplicity of roles that computation serves in the different kinds of research work that is happening across the domain, including exemplars of different kinds of technical contributions and approaches.
  • INFO 6940 - Supervised Master's Research Project
    Primary Instructor - Spring 2023 / Spring 2024
    Students enrolling in this course will conduct supervised research in Information Science under the supervision of one or more faculty advisors, to include preparation of academic literature reviews, laboratory or field experiments, surveys or interviews with technology stakeholders, interface or system design and development, system evaluation, or other examples of rigorous scholarship in the discipline of Information Science. Some research projects may be carried out in collaboration with other graduate students and faculty members. Although contribution to publishable scholarship (e.g., posters, demonstrations, conference papers, or journal articles) is one possible outcome of this educational experience, the student and his/her advisor(s) may agree to determine alternate mechanisms for assessing mastery of the academic research process, depending on the scope of work carried out as part of this experience, the publishability of the research, and the specific needs and career goals of the student.

Background

International Activities

Other Profiles