Day 3 (18 Nov, 2022)
Detecting and addressing misinforming outcomes in designing sustainable applications
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.
Soon will be announced.