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Feedback from user studies? 

Adaptation (computer science)
Categorization
Mental health
Usability
Automatic summarization
Best insight from top research papers

Feedback from user studies is a multifaceted domain that encompasses the collection, analysis, and application of user insights to improve products, services, and systems. The significance of user feedback lies in its ability to provide developers and businesses with valuable insights into how users perceive and interact with their offerings, thereby guiding the enhancement of user experience and satisfaction. Studies have shown that engaging users in the feedback process can significantly influence the design and functionality of digital mental health interventions (DMHIs), highlighting the importance of understanding user perspectives on various aspects such as assessment questions, homepage design, and results report content. Moreover, user feedback plays a crucial role in professional online communities by serving as a means to indicate the credibility of user-contributed knowledge, thereby aiding members in the knowledge-seeking process. The intention to provide feedback in such settings is primarily driven by autonomous motivation, which is influenced by social factors like reciprocity, online reputation, and community commitments. In the realm of software development, feedback is indispensable for identifying bugs, features, usability issues, and for prioritizing requirements. However, analyzing feedback is often time-consuming and challenging due to its manual nature and the wide range of channels through which it is received. The acquisition and analysis of user feedback must be adaptive to the context of use, as it plays a critical role in shaping software adaptation decisions and identifying areas for system evolution. Furthermore, structured feedback acquisition can enhance the expressiveness and analytical efficiency of user feedback, providing a solid foundation for maintaining and evolving enterprise system requirements. Innovative approaches, such as employing user feedback in entity summarization and utilizing machine learning techniques to filter video sequences based on user-provided examples, demonstrate the potential of feedback to improve the quality of summaries and reduce false alarms in surveillance systems. These insights underscore the complexity and value of user feedback in driving improvements across various domains.

Answers from top 7 papers

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Papers (7)Insight
Open access•Book Chapter•DOI
Entity Summarization with User Feedback
Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu 
31 May 2020
9 Citations
The paper introduces entity summarization with user feedback, utilizing a Markov decision process and a deep neural network to improve summaries, outperforming five baseline methods in experiments.
Open access•Book Chapter•DOI
Modelling Users Feedback in Crowd-Based Requirements Engineering: An Empirical Study
Nada Sherief, W. Abdelmoez, Keith Phalp, Raian Ali 
10 Nov 2015
14 Citations
Structured feedback acquisition from users is crucial for refreshing requirements knowledge in enterprise systems, as shown in the empirical study on feedback constituents and structuring for analysis.
Open access•Journal Article•DOI
Learnings from user feedback of a novel digital mental health assessment
Erin Funnell, Benedetta Spadaro, Jiri Benacek, Nayra A Martin-Key, Tim Metcalfe, Tony Olmert, Giles Barton-Owen, Sabine Bahn 
20 Oct 2022-Frontiers in Psychiatry
1 Citations
User feedback highlighted positive aspects of digital mental health assessment usability and functionality, with suggestions for personalized resources and transparent diagnostic decision-making.
Open access•Proceedings Article•DOI
The design of adaptive acquisition of users feedback: An empirical study
Malik Almaliki, Cornelius Ncube, Raian Ali 
28 May 2014
31 Citations
Adaptive acquisition of users' feedback is crucial for software evolution and user satisfaction, enhancing socially-adaptive software quality. Different feedback types and methods were preferred by participants in the study.
Journal Article•DOI
User’s feedback contribution to enhance professional online community: a motivational process
Tingting Zhang, William Yu Chung Wang, Angsana A. Techatassanasoontorn 
12 Aug 2019
6 Citations
Users' feedback in professional online communities is crucial for credibility and knowledge-seeking. Autonomous motivation, influenced by social factors, drives users' intention to provide feedback in these communities.
Proceedings Article•DOI
Leveraging User Experience for Enhancing Product Design: A Study of Data Collection and Evaluation
08 Jun 2023
User feedback is crucial for product design, providing valuable insights on user perception and interaction. Various methods are used to collect and evaluate feedback for enhancing product design.
DOI
Leveraging User Experience for Enhancing Product Design: A Study of Data Collection and Evaluation
Tsvetelina Mladenova, Irena Valova 
08 Jun 2023
User feedback is crucial for product design, providing valuable insights on user perceptions and interactions. Various methods are used to collect and evaluate this feedback for enhancing product design.

Related Questions

How can user feedback play a part in improving current movie recommnedation systems or recommendation systems in general?5 answersUser feedback can significantly enhance movie recommendation systems and recommendation systems in general. Incorporating user feedback, such as implicit preferences from social media and multiple types of behavioral data, can lead to more accurate predictions and improved user experience. By utilizing user feedback, recommendation systems can overcome data sparsity issues, filter out unwanted content, and tailor recommendations based on individual preferences and behaviors. Additionally, considering user attributes like sentiments, age group, and online activity can help in creating personalized recommendations, ultimately enhancing the efficiency and effectiveness of the recommendation process. Overall, user feedback plays a crucial role in refining recommendation algorithms, increasing recommendation quality, and providing users with more relevant and satisfactory suggestions.
Analyzing findings from a user research study?5 answersAnalyzing findings from a user research study involves a multi-faceted approach that integrates both qualitative and quantitative data to derive actionable insights. The initial step in this process is to compile and summarize the data, which may include usability metrics such as completion rates, task times, errors, and satisfaction data from usability testing, as well as insights from surveys, questionnaires, and site visits. This approach allows researchers to quantify even open-ended comments and problem descriptions, providing a comprehensive overview of user interactions and experiences. Qualitative data, often gathered through methods like interviews, focus groups, and observational studies, offers deep insights into user needs, expectations, and perceptions. For instance, studies on blended learning modules and subject research guides have utilized qualitative research designs to explore users' needs and expectations, revealing significant factors such as learning environment, motivation, and cognitive overload. These findings underscore the importance of understanding the user's perspective in creating effective and engaging learning experiences. Furthermore, the analysis of qualitative data can benefit from both top-down and bottom-up organizational methods, where findings are categorized based on predetermined categories or emergent themes, respectively. This structured approach facilitates the identification of usability problems and the development of recommendations for improvement. Incorporating user feedback into the development process is crucial for ensuring product efficacy and user satisfaction. Studies have shown that engaging users in software development and creating personas based on large-scale audience data can significantly enhance decision-making and product development. Additionally, the analysis of findings should culminate in a report that not only interprets the data but also draws conclusions and provides recommendations, thereby serving as a valuable resource for stakeholders. Lastly, the research trend in information user studies highlights the diversity of methodologies and subject areas within the field, emphasizing the importance of employing a variety of research methods to fully understand user behavior and needs. This comprehensive approach to analyzing user research findings enables the development of more user-centered products and services, ultimately leading to improved user experiences.
Can user feedback be used to predict the success of mobile viral advertising campaigns?5 answersUser feedback can be used to predict the success of mobile viral advertising campaigns. By collecting and analyzing user feedback on ads, publishers and web companies can gain insights into the quality of the ads shown on their sites. This feedback can be obtained through various channels such as app stores, social networks, and within the app itself. The comprehensiveness and accuracy of user feedback can be improved by collecting user fingerprint information and recording the time of using the application program by all users. Additionally, feedback can be collected by sending feedback requests to users based on their location and receiving feedback data from the user device. By reducing potential biases in ad feedback data and considering revenue considerations, the effectiveness of ad ranking methods can be improved. Therefore, user feedback can provide valuable insights for predicting the success of mobile viral advertising campaigns.
How does user feedback influence the success of social software upgrades?4 answersUser feedback plays a crucial role in the success of social software upgrades. It helps in identifying, prioritizing, and managing software requirements during the evolution process. User feedback collected from online channels such as social media, forums, and review systems provides valuable information that can be used to understand user needs and improve software systems. However, analyzing and understanding online feedback can be challenging as it lacks direct mapping to requirements and user context data. To overcome this, a novel approach is proposed that involves pulling feedback from users while they are using the software. This approach includes structuring feedback requests, linking feedback to requirements, embedding feedback with user context information, and analyzing collected feedback using predefined interpretation rules. By incorporating user feedback into the software evolution process, developers can make informed decisions, improve user satisfaction, and ensure the success of software upgrades.
What research uses user research methods?5 answersUser research methods are used in various research domains. One such domain is games user research, where user research methods are applied to evaluate games and turn player feedback into design recommendations. Another domain is scientific software development, where user research techniques are used to gain insights about the usability and usefulness of scientific software tools for their end users. User research methods are also employed in usability practice to find the most suitable solution for most users by integrating subjective ratings into a generally valid rating. Additionally, user research methods are utilized in global research to identify issues and gain a deeper understanding of local users in unfamiliar countries. Finally, user research plays a crucial role in informing the design and development of systems, products, and services across various design disciplines, both in commercial design worlds and creative communities/academia.
What to study for user experience?9 answers

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