Amama Mahmood
Johns Hopkins University. Balimore, MD, USA.
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 |
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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
- Under reviewVoice Assistants for Health Self-Management: Designing for and with Older AdultsUnder review, 2024
- Under reviewSituated Understanding of Older Adults’ Interactions with Voice Assistants: A Month-long In-home StudyUnder review, 2024
- In preparationFrom Our Lab to Their Homes: Learnings from Longitudinal Field Research with Older AdultsIn preparation, 2024
- IJHCSLLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design GuidelinesInternational Journal of Human-Computer Studies [Accepted], 2024
- CSCW’24Gender Biases in Error Mitigation by Voice AssistantsProceedings of the ACM on Human-Computer Interaction, 2024
- IVA’22Effects of rhetorical strategies and skin tones on agent persuasiveness in assisted decision-makingIn Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, 2022
- CHI’22Owning Mistakes Sincerely: Strategies for Mitigating AI ErrorsIn CHI Conference on Human Factors in Computing Systems, 2022
- 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 PartnerMajor revision, 2023
- RSNA 2024Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AIRadiology, 2024*equal contribution
- Under review“Let Me Finish My Thought”: Interruption Handling for Conversational RobotsUnder review, 2024
- Under review"You Might Like It": How People Respond to Small Talk in Human-Robot CollaborationUnder review: Human–Computer Interaction, 2023