About

Roshanak Khaleghi is a Teaching Assistant Professor in the Department of Industrial & Enterprise Systems Engineering at the University of Illinois Urbana-Champaign. She earned her Ph.D. in Industrial Engineering from the University of Illinois Urbana-Champaign in 2021, and holds both a Master’s and Bachelor’s degree in Industrial Engineering from the University of Tehran. Her research areas include Data Analytics and Decision and Control Systems. She has taught courses such as Design for Six Sigma and the Business Side of Engineering, contributing to the academic and practical training of students in the field of industrial engineering.

Research topics

• Computer Science
• Human–computer interaction
• Medicine
• Gerontology
• Theoretical computer science
• Multimedia
• Applied psychology
• Discrete mathematics
• Psychology
• Mathematics
• Algorithm

Selected publications

• On computing the supremal right-closed control invariant subset of a right-closed set of markings for an arbitrary petri net

  Discrete Event Dynamic Systems · 2021 · 2 citations

  1st authorCorresponding
  • Computer Science
  • Mathematics
  • Discrete mathematics
  PublisherDOI

• Developing Digital Home Assistant User Guides for Older Adults With and Without Long-Term Mobility Disabilities

  Innovation in Aging · 2020 · 1 citations

  • Computer Science
  • Computer Science
  • Multimedia

  Abstract The aim of the current study was to understand how to integrate digital home assistant technologies and smart appliances into older adults’ homes by developing supportive user guides that facilitate adoption and continued use. We conducted a series of interviews among older adults, with and without mobility disabilities, to understand their attitudes towards digital assistants and to identify needs for instructional support and user guides. Subsequently, we developed and tested specific user guide modules for older adults aimed at addressing the identified concerns and desired instructional support. Specifically, we developed and field-tested user guides for the initial Amazon Echo device setup, basic device use (e.g., playing music and checking the weather), and separate modules for other domestic use cases (e.g., how to pair an Alexa enabled device with smart lights or appliances). Our results provide guidance for implementation of smart voice technologies to support older adults with long-term mobility disabilities.

  PublisherOA PDFDOI

• Digital Home Assistant Health Applications for Older Adults With Long-Term Mobility Disabilities

  Innovation in Aging · 2020 · 1 citations

  • Computer Science
  • Medicine
  • Gerontology

  Abstract The aim of the current study was to evaluate the feasibility, usability, safety, and efficacy of digital home assistant health applications (e.g., meditation applications, medication reminders, hydration management) for older adults with mobility disabilities. We used a multi-pronged approach. First, we compiled, categorized, and assessed a list of commercially available health applications compatible with Amazon Alexa devices. We reviewed data from the National Health and Aging Trends Study and the ACCESS study to identify challenges that older adults with mobility disabilities face within the home. We also reviewed the literature on the acceptance and use of digital home assistant health applications by older adults. Lastly, we conducted user testing in a laboratory and in a home-simulation environment to assess usability of different health applications. Our results provide guidance for the implementation of digital home assistant health applications to support older adults with long-term mobility disabilities.

  PublisherOA PDFDOI

• SMART HOME TECHNOLOGY FOR OLDER ADULTS WITH MOBILITY DISABILITIES: POTENTIAL AND CHALLENGES

  Innovation in Aging · 2019-11-01

  articleOpen access

  Abstract Recently, there has been a significant expansion in the number of smart and connected technologies for assisting individuals with a variety of tasks within the home. Examples include digital home assistants (e.g., Amazon Echo), smart lights, smart plugs, robotic vacuums, as well as a multitude of other devices. Such technologies hold the potential to support independence for older adults with long-term mobility disabilities, as they may experience challenges engaging in daily activities. The aim of the current study was to utilize a comprehensive approach with an interdisciplinary team to improve understanding of how to integrate smart technology into older adults’ homes. We focused on identifying functionality that would be useful to them, understanding their perceptions, and developing instructional support. We conducted interviews among older adults with, and without, long-term mobility disabilities to better understand their attitudes towards digital assistants, identify needs for instructional support, and test the usability of our instructional protocol. The overall goal of this research is to improve understanding of older adults’ perceptions of these technologies and identify usability challenges within the home. The instructional protocol offers support by reducing the identified barriers to initial adoption and continued use to promote aging-in-place and improving overall quality of life for older adults with long-term mobility disabilities.

  PublisherOA PDFDOI

Frequent coauthors

• R.S. Sreenivas

  University of Illinois Urbana-Champaign

  4 shared

• Kenneth A. Blocker

  University of Illinois Urbana-Champaign

  3 shared

• Travis Kadylak

  University of Illinois Urbana-Champaign

  3 shared

• Wendy A. Rogers

  3 shared

• Lyndsie M. Koon

  University of Kansas

  3 shared

• Widya Ramadhani

  3 shared

• Chris Kovac

  University of Illinois Urbana-Champaign

  1 shared

• Christopher E. Kovac

  University of Illinois Urbana-Champaign

  1 shared