Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918447713091584 |
|---|---|
| author | Drosos, Ian Vermeulen, Jo Fitzmaurice, George Matejka, Justin |
| author_facet | Drosos, Ian Vermeulen, Jo Fitzmaurice, George Matejka, Justin |
| contents | People frequently use online forums to get help from experts to answer questions about feature-rich software. However, they may have to wait minutes, hours, or even days to receive advice. We investigate the potential to leverage experts to provide quicker help. We collected over 200 questions from online forums for two feature-rich software applications and suspected a quarter were short enough to be answered in less than one minute (defined as nanoquestions). We then conducted a study with 28 experts recruited from help forums to confirm this assumption, and explore whether there was a preference between text and audio answers. For more than half of the nanoquestions participants saw, they could give advice that they believed was helpful in under 60 seconds. Finally, we collected feedback about what makes a question quick to answer to inspire the design of future tools for ultra rapid human-to-human help. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_13621 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software Drosos, Ian Vermeulen, Jo Fitzmaurice, George Matejka, Justin Human-Computer Interaction People frequently use online forums to get help from experts to answer questions about feature-rich software. However, they may have to wait minutes, hours, or even days to receive advice. We investigate the potential to leverage experts to provide quicker help. We collected over 200 questions from online forums for two feature-rich software applications and suspected a quarter were short enough to be answered in less than one minute (defined as nanoquestions). We then conducted a study with 28 experts recruited from help forums to confirm this assumption, and explore whether there was a preference between text and audio answers. For more than half of the nanoquestions participants saw, they could give advice that they believed was helpful in under 60 seconds. Finally, we collected feedback about what makes a question quick to answer to inspire the design of future tools for ultra rapid human-to-human help. |
| title | Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.13621 |