What are parameters to prevent feature fatigue?
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To prevent feature fatigue, several parameters can be considered based on the research findings. Firstly, it is crucial to balance product capability and usability . This involves identifying real customer requirements to reduce unneeded features and analyzing the level of feature fatigue for each feature. Secondly, designing products with a focus on usability over excessive features can help alleviate feature fatigue in the long term. Additionally, utilizing algorithms like IB-ARM and ACO-ABC can aid in evaluating product usability and capability to mitigate feature fatigue. Lastly, employing a feature fatigue multi-objective genetic algorithm (FFMOGA) can assist in determining the optimal feature combination that maximizes customer equity while avoiding feature overload. By incorporating these parameters, designers can effectively address feature fatigue and enhance overall customer satisfaction.
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| Papers (5) | Insight |
|---|---|
23 Citations | Parameters to prevent feature fatigue include maximizing customer perceived capability value and minimizing customer perceived complexity value simultaneously, as addressed in the FFMOGA method using Bayesian networks in the paper. |
| Parameters to prevent feature fatigue include analyzing customer behavior with the SIR epidemic model, calculating customer equity (CE), and using a genetic algorithm to optimize feature combinations for maximizing CE. | |
Open access•Journal Article 176 Citations | Parameters to prevent feature fatigue include building simpler products, aiding consumers in product selection, focusing on single-function excellence, and conducting market research with actual products or prototypes. |
27 Jul 2018 1 Citations | Parameters to prevent feature fatigue include utilizing the IB-ARM algorithm for optimal rule generation, incorporating the Elitism operator, and applying the ACO-ABC algorithm for Feature Fatigue analysis. |
12 Citations | Parameters to prevent feature fatigue include identifying real customer requirements, analyzing feature levels with a FF index, and balancing product capability and usability using Kano's model in product development. |
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