  The present work delivers the results of a survey conducted in
Florian\'{o}polis, on the southern region of Brazil, using a digital
questionnaire which inquired about the interaction with demand management
systems (DMSs) in a smart house context. In particular, the survey addressed
the interviewees' thoughts on demand management and gathered data to enable the
design of Quality of Experience (QoE) based demand management policies. The
investigation of QoE-aware approaches is significant as it enables the DMS to
take decisions not only based on economic metrics, but also taking the
discomfort caused to the users into account. The number of responses guaranteed
a confidence level of 95\% and an error margin of 4.63\% and the content of
such responses showed favorable disposition of the interviewees on allowing
interventions of DMSs on their energy consumption habits as long as it reduces
their expenses with energy. The data concerning discomfort caused by demand
management actions on several home appliances was treated using clustering
techniques and different typical user profiles were leveraged, represented by
the centroid of each cluster. Those profiles can be used to deploy QoE-aware
DMSs tailored for the local reality, which seems as a promising business model
as smart houses become a reality.
