Amama Mahmood

Johns Hopkins University. Balimore, MD, USA.

amama.jpg

I am fifth year Ph.D. candidate at Department of Computer Science, Johns Hopkins University. I am a member of Intuitive Computing Lab, which is affiliated with the Malone Center for Engineering in Healthcare and Laboratory for Computational Sensing and Robotics. I am advised by Dr. Chien-Ming Huang.

My research, situated at the intersection of HCI, AI and Robotics, focuses on enhancing human-machine interactions to support health and well-being. Specifically, I develop conversational agents-powered by LLMs-that enable seamless, adaptive interactions by understanding user behaviors in various real-world contexts. With a focus on empowering older adults in managing their health to facilitate aging in place, my work emphasizes situated, long-term, “in the wild” human-machine interactions.

My CV may be viewed here.

I am on the job market for post-doc and tenure track faculty positions.


Keywords: Human-AI Interaction, Human-Computer Interaction, Human-Centered AI, Human-Robot Interaction, Assistive Technologies, Conversational Agents, Large Language Models, Human-Subjects Research

Selected Awards and Achievements

Aug, 2020 Computer Science Department Fellowship, Johns Hopkins University
Aug, 2020 Creel Family Engineering Fellowship, Johns Hopkins University
Aug, 2018 Fullbright scholarship

Teaching and Mentoring

Teaching Assistant, for HRI and HCI courses at Johns Hopkins University 2020, 2021

Journal Club Organizer, for Intuitive COmputing Lab at Johns Hopkins University 2020 – 2023

Student Mentor, Johns Hopkins University 2020 – Present

- Mentored 2 local high school students from Baltimore Area.
- Mentored 5 undergraduates, 1 graduate, and 2 PhD students at Johns Hopkins University.
- Currently mentoring 3 graduate students on research projects focused on health and well-being.

Academic and Community Service

Reviewer: CHI'24 (special mention), HRI'21, CSCW'23, THRI, IJHCS, ICMI'20

Member of Robotics Graduate Student Association: Johns Hopkins University 2020 – 2024

Organizer Lab Hackathon: Lab Hackathon on integrating LLMs into voice assistants and robots Summer 2023

Organizer Community Outreach Expo: A community outreach exhibition at a local senior living center Summer 2024

Selected Publications

  1. Under review
    Voice Assistants for Health Self-Management: Designing for and with Older Adults
    Amama Mahmood, Shiye Cao, Maia Stiber, Victor Nikhil Antony, and Chien-Ming Huang
    Under review, 2024
  2. Under review
    Situated Understanding of Older Adults’ Interactions with Voice Assistants: A Month-long In-home Study
    Amama Mahmood, Junxiang Wang, and Chien-Ming Huang
    Under review, 2024
  3. In preparation
    From Our Lab to Their Homes: Learnings from Longitudinal Field Research with Older Adults
    Amama Mahmood, and Chien-Ming Huang
    In preparation, 2024
  4. IJHCS
    LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines
    Amama Mahmood, Junxiang Wang, Bingsheng Yao, Dakuo Wang, and Chien-Ming Huang
    International Journal of Human-Computer Studies [Accepted], 2024
  5. CSCW’24
    Gender Biases in Error Mitigation by Voice Assistants
    Amama Mahmood, and Chien-Ming Huang
    Proceedings of the ACM on Human-Computer Interaction, 2024
  6. IVA’22
    Effects of rhetorical strategies and skin tones on agent persuasiveness in assisted decision-making
    Amama Mahmood, and Chien-Ming Huang
    In Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, 2022
  7. CHI’22
    Owning Mistakes Sincerely: Strategies for Mitigating AI Errors
    Amama Mahmood, Jeanie W Fung, Isabel Won, and Chien-Ming Huang
    In CHI Conference on Human Factors in Computing Systems, 2022
  8. Under review
    " Mango Mango, How to Let The Lettuce Dry Without A Spinner?”: Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
    Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D Mynatt, and Dakuo Wang
    Major revision, 2023
  9. RSNA 2024
    Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI
    Drew Prinster*Amama Mahmood*, Suchi Saria, Jean Jeudy, Cheng Ting Lin, Paul H Yi, and Chien-Ming Huang
    Radiology, 2024
    *equal contribution
  10. Under review
    “Let Me Finish My Thought”: Interruption Handling for Conversational Robots
    Shiye Cao, Jiwon Moon, Amama Mahmood, Victor Nikhil Antony, Ziang Xiao, Anqi Liu, and Chien-Ming Huang
    Under review, 2024
  11. Under review
    "You Might Like It": How People Respond to Small Talk in Human-Robot Collaboration
    Kaitlynn Taylor Pineda, Amama Mahmood, and Chien-Ming Huang
    Under review: Human–Computer Interaction, 2023