MicroMentor: Peer-to-Peer Software Help Sessions in Three Minutes or Less
Nikhita Joshi, Justin Matejka, Fraser Anderson, Tovi Grossman, George W. Fitzmaurice
Abstract
While synchronous one-on-one help for software learning is rich and valuable, it can be difficult to find and connect with someone who can provide assistance. Through a formative user study, we explore the idea of fixed-duration, one-on-one help sessions and find that 3 minutes is often enough time for novice users to explain their problem and receive meaningful help from an expert. To facilitate this type of interaction, we developed MicroMentor, an on-demand help system that connects users via video chat for 3-minute help sessions. MicroMentor automatically attaches relevant supplementary materials and uses contextual information, such as command history and expertise, to encourage the most qualified users to accept incoming requests. These help sessions are recorded and archived, building a bank of knowledge that can further help a broader audience. Through a user study, we find MicroMentor to be useful and successful in connecting users for short teaching moments.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers10
- Community Tech Workers: Scaffolding Digital Engagement Among Underserved Minority BusinessesJulie Hui, Kristin Seefeldt, Christie Baer, Lutalo Sanifu et al.CSCW 2023 · 23 citations
- Tech Help Desk: Support for Local Entrepreneurs Addressing the Long Tail of Computing ChallengesYasmine Kotturi, Herman T. Johnson, Michael Skirpan, Sarah E. Fox et al.CHI 2022 · 22 citations
- HelpCall: Designing Informal Technology Assistance for Older Adults via VideoconferencingTeerapaun Tanprasert, Jiamin Dai, Joanna McGrenereCHI 2024 · 20 citations
- Winder: Linking Speech and Visual Objects to Support Communication in Asynchronous CollaborationTae Soo Kim, Seungsu Kim, Yoonseo Choi, Juho KimCHI 2021 · 17 citations
- Learning by Teaching: Key Challenges and Design ImplicationsAmy Debbané, Ken Jen Lee, Jarvis Tse, Edith LawCSCW 2023 · 16 citations
Related papers
- Interrupting for Microlearning: Understanding Perceptions and Interruptibility of Proactive Conversational Microlearning ServicesMinyeong Kim, Jiwook Lee, Youngji Koh, Chanhee Lee et al.CHI 2024 · 3 citations
- Avoiding the Turing Tarpit: Learning Conversational Programming by Starting from Code's PurposeKathryn I. Cunningham, Barbara J. Ericson, Rahul Agrawal Bejarano, Mark GuzdialCHI 2021 · 48 citations
- ReMap: Lowering the Barrier to Help-Seeking with Multimodal SearchC. Ailie Fraser, Julia M. Markel, N. James Basa, Mira Dontcheva et al.UIST 2020 · 14 citations
- Exploring the Design Space of Real-time LLM Knowledge Support Systems: A Case Study of Jargon ExplanationsYuhan Liu, Aadit Shah, Jordan Ackerman, Manaswi SahaCHI 2025 · 9 citations
- Moment Detection in Long Tutorial VideosIoana Croitoru, Simion-Vlad Bogolin, Samuel Albanie, Yang Liu et al.ICCV 2023 · 7 citations
