<p>With autonomous systems bringing greater demand for user data, in some
applications, this also brings an opportunity to solicit data from users. To exploit this, a user
interface will need to be designed to coax the user into achieving system
goals, like data solicitation. One approach is to design a system to leverage
an already present tendency for people to socially interact with technology. In this thesis, I argue that such an approach would involve
incorporating interaction concepts that facilitate engagement into the design
of recommender system interfaces that will improve the likelihood of obtaining
data from users. To support this claim, I synthesize past work on
human-computer interaction and recommender systems to derive a framework to
guide scientific investigations into interface design concepts that will
address the data solicitation problem.<br></p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/13420166 |
| Date | 18 December 2020 |
| Creators | Quang Dao (9873176) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Addressing_the_Recommender_System_Data_Solicitation_Problem_with_Engaging_User_Interfaces/13420166 |
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