About
Misinforming is the case in which the information provided is correct and useful, but it is understood and interpreted wrongly. This talk is motivated by the following observations:
- Becoming misinformed as a user by a service leads to dissatisfaction regarding the service and often resistance to using it.
- Understanding the fact of misinforming results in learning about how to use the service the next time, or how to use other services.
- Recurrent use of a service may result in adaptations of user-service interactions in ways that reduce the risk of misinforming. This form of learning may serve not only the given user, but his/her entire user-category. In other words, learning by misinforming is a two-sided process.
The talk will focus on four practical issues:
- User categories relevant to misinforming;
- Risks associated with each user category;
- Ways of classifying a specific user to a specific category.
- Ideas about implementing changes in user interfaces per user category to improve user experience and reduce the environmental footprint of the application.
