Abstract
Conventional techniques of user feedback evaluation focus on post-hoc analysis of collected feedback instead of target feedback collection. Thus, conventional techniques fail to capture insightful and actionable feedback because they lack the ability to ask a user nuanced follow-up questions while the user is providing feedback. Moreover, conventional techniques do not consider contextual information such as a user’s history of giving feedback. To address these issues, techniques proposed herein provide a method for implementing a multi-tier feedback service that dynamically generates and/or alters feedback questions regarding device usage to elicit concrete and helpful feedback that is simplistic to act on without following up with the user at another time.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Moorefield, Wayne E.; Šuppa, Marek; and Hraška, Peter, "AUTOMATING MULTI-TIER USER FEEDBACK COLLECTION BASED ON DEVICE USAGE", Technical Disclosure Commons, (October 03, 2024)
https://www.tdcommons.org/dpubs_series/7401