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- 01HNAXYEG43PTP5KKGKF4PFSK1 classification P1.
- 01HNAXYEG43PTP5KKGKF4PFSK1 date "2023".
- 01HNAXYEG43PTP5KKGKF4PFSK1 language "eng".
- 01HNAXYEG43PTP5KKGKF4PFSK1 type conference.
- 01HNAXYEG43PTP5KKGKF4PFSK1 hasPart 01HNAY3D53XYTRSVTA8EH0T8BT.pdf.
- 01HNAXYEG43PTP5KKGKF4PFSK1 subject "Technology and Engineering".
- 01HNAXYEG43PTP5KKGKF4PFSK1 doi "10.1145/3604915.3610650".
- 01HNAXYEG43PTP5KKGKF4PFSK1 isbn "9798400702419".
- 01HNAXYEG43PTP5KKGKF4PFSK1 presentedAt urn:uuid:18b9ad71-5fd4-4378-9b25-725d14f6265a.
- 01HNAXYEG43PTP5KKGKF4PFSK1 abstract "As personalization has great potential to improve mobile health apps, analyzing the effect of different recommender algorithms in the health domain is still in its infancy. As such, this paper investigates whether more accurate recommendations from a content-based recommender or more diverse recommendations from a user-based collaborative filtering recommender will lead to more motivation to move. An eight-week longitudinal between-subject user study is being conducted with an Android app in which participants receive personalized recommendations for physical activities and tips to reduce sedentary behavior. The objective manipulation check confirmed that the group with collaborative filtering received significantly more diverse recommendations. The subjective manipulation check showed that the content-based group assigned more positive feedback for perceived accuracy and star rating to the recommendations they chose and executed. However, perceived diversity and inspiringness was significantly higher in the content-based group, suggesting that users might experience the recommendations differently. Lastly, momentary motivation for the executed activities and tips was significantly higher in the content-based group. As such, the preliminary results of this longitudinal study suggest that more accurate and less diverse recommendations have better effects on motivating users to move more.".
- 01HNAXYEG43PTP5KKGKF4PFSK1 author B6A23D78-10F6-11E3-9BFC-607B10BDE39D.
- 01HNAXYEG43PTP5KKGKF4PFSK1 author F43EA4A2-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HNAXYEG43PTP5KKGKF4PFSK1 author F94E125C-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HNAXYEG43PTP5KKGKF4PFSK1 dateCreated "2024-01-29T15:38:29Z".
- 01HNAXYEG43PTP5KKGKF4PFSK1 dateModified "2024-09-13T13:58:11Z".
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:02691fef-62dc-415e-89f3-3261e8e9825d.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:5c92e13e-8caa-4f12-a945-6496b0be84c7.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:9ca3eefb-2e27-486f-9e92-98972b7ab22b.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:b8cf60ae-27c5-4d35-a9e9-3c9a12d3aa13.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:bd894b61-3fc8-47a1-8ea7-5f28d333ee1d.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:c6159be0-b0af-4e07-8367-3f5b2de5e19e.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:d188c27b-ba33-438a-9d3a-5f4b8538a1c5.
- 01HNAXYEG43PTP5KKGKF4PFSK1 editor urn:uuid:d2a1c2a0-4836-4b02-80d9-7271d61f10bb.
- 01HNAXYEG43PTP5KKGKF4PFSK1 name "Analyzing accuracy versus diversity in a health recommender system for physical activities : a longitudinal user study".
- 01HNAXYEG43PTP5KKGKF4PFSK1 pagination urn:uuid:a92f0141-8940-43a6-b7e1-0b43b0ff35cf.
- 01HNAXYEG43PTP5KKGKF4PFSK1 publisher urn:uuid:4559ef52-9108-47d8-950f-657cc2e02277.
- 01HNAXYEG43PTP5KKGKF4PFSK1 sameAs LU-01HNAXYEG43PTP5KKGKF4PFSK1.
- 01HNAXYEG43PTP5KKGKF4PFSK1 sourceOrganization urn:uuid:2f4821e6-283b-4fbf-ad95-8a451e3d058a.
- 01HNAXYEG43PTP5KKGKF4PFSK1 sourceOrganization urn:uuid:9eb34c8d-e652-480f-812a-27015ca807e5.
- 01HNAXYEG43PTP5KKGKF4PFSK1 type P1.