Huiling Ding
ABSTRACT
The increasing use of AI-powered chatbots has been transforming how technical communicators interact with users, content, and technologies. Menu-based, rule-based, or AI-powered, chatbots help automate customer service and technical support while moving away from more traditional web- or app-based frameworks. This panel explores how technical communicators design, teach, and evaluate chatbots before discussing lessons about user research, usability testing, information architecture, and new competencies that have to be introduced to prepare technical communication students to work toward/with useful and usable automated content.
- John R. Gallagher. 2017. Writing for Algorithmic Audiences? Computers and Composition 45 (2017), 25--35. Google Scholar
Cross Ref
- Andrew Hinton. 2015. Understanding context: environment, language, and information architecture (1st. ed.). O'Reilly Media, Sebastopol, CA.Google Scholar
- I.Thompson. 1995. Collaboration in Technical Communication: A Qualitative Content Analysis of Journal Articles 1990--1999. IEEE Transactions on Professional Communication 44 (1995), 161--173. Issue 3. Google ScholarCross Ref
- Judith Ramey. 1995. What Technical Communicators Think about Measuring Value Added: Report on a Questionnaire. Technical Communication 42 (Feb. 1995), 40.Google Scholar
- Janice Redish. 1995. Adding Value as a Professional Technical Communicator. Technical Communication 42 (Feb. 1995), 23.Google Scholar
Index Terms
- Boundary of content ecology: chatbots, user experience, heuristics, and pedagogy
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