Proceedings ArticleDOI
Understanding Implicit User Feedback from Multisensorial and Physiological Data: A case study
Franci Suni-Lopez,Nelly Condori-Fernandez,Alejandro Catala +2 more
- pp 563-569
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TLDR
This paper mainly investigates whether physiological data can be considered and used as a form of implicit user feedback, and highlights the importance of having a context analyzer, which can help the system to determine whether the detected stress could be considered as actionable and consequently as implicituser feedback.Abstract:
Ensuring the quality of user experience is very important for increasing the acceptance likelihood of software applications, which can be affected by several contextual factors that continuously change over time (e.g., emotional state of end-user). Due to these changes in the context, software continually needs to adapt for delivering software services that can satisfy user needs. However, to achieve this adaptation, it is important to gather and understand the user feedback. In this paper, we mainly investigate whether physiological data can be considered and used as a form of implicit user feedback. To this end, we conducted a case study involving a tourist traveling abroad, who used a wearable device for monitoring his physiological data, and a smartphone with a mobile app for reminding him to take his medication on time during four days. Through the case study, we were able to identify some factors and activities as emotional triggers, which were used for understanding the user context. Our results highlight the importance of having a context analyzer, which can help the system to determine whether the detected stress could be considered as actionable and consequently as implicit user feedback.read more
Citations
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Journal ArticleDOI
Specifying requirements for collection and analysis of online user feedback
TL;DR: In this article , the authors performed an action research study, together with a company that developed a platform for online training and provided evidence about the need of practitioners to follow a simple but systematic approach for specifying requirements for data collection and analysis, at design time.
Proceedings ArticleDOI
Understanding User Feedback Through Negative Emotions: A Learning Experience
TL;DR: In this article , an innovative methodology for teaching implicit user feedback through the analysis of actionable emotions (i.e., emotions triggered by the interaction with a software service) is proposed.
Using the Context of User Feedback in Recommender Systems.
TL;DR: In this article, the authors present a model of relevant contextual features affecting user feedback, propose methods leveraging those features, publish a dataset of real e-commerce users containing multiple user feedback indicators as well as its context and finally present results of purchase prediction and recommendation experiments.
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