Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022161295> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3022161295 abstract "Gaining awareness of the user's affective states enables smartphones to support enriched interactions that are sensitive to the user's context. To accomplish this on smartphones, we propose a system that analyzes the user's text typing behavior using a semi-supervised deep learning pipeline for predicting affective states measured by valence, arousal, and dominance. Using a data collection study with 70 participants on text conversations designed to trigger different affective responses, we developed a variational auto-encoder to learn efficient feature embeddings of two-dimensional heat maps generated from touch data while participants engaged in these conversations. Using the learned embedding in a cross-validated analysis, our system predicted three levels (low, medium, high) of valence (AUC up to 0.84), arousal (AUC up to 0.82), and dominance (AUC up to 0.82). These results demonstrate the feasibility of our approach to accurately predict affective states based only on touch data." @default.
- W3022161295 created "2020-05-13" @default.
- W3022161295 creator A5015553607 @default.
- W3022161295 creator A5033076979 @default.
- W3022161295 creator A5038336611 @default.
- W3022161295 creator A5056293017 @default.
- W3022161295 creator A5069878201 @default.
- W3022161295 date "2020-04-21" @default.
- W3022161295 modified "2023-10-17" @default.
- W3022161295 title "Affective State Prediction Based on Semi-Supervised Learning from Smartphone Touch Data" @default.
- W3022161295 cites W1969135658 @default.
- W3022161295 cites W1976081290 @default.
- W3022161295 cites W1979538975 @default.
- W3022161295 cites W1985269311 @default.
- W3022161295 cites W2001829221 @default.
- W3022161295 cites W2024221294 @default.
- W3022161295 cites W2056591916 @default.
- W3022161295 cites W2060118520 @default.
- W3022161295 cites W2065340646 @default.
- W3022161295 cites W2068349382 @default.
- W3022161295 cites W2075159025 @default.
- W3022161295 cites W2086620637 @default.
- W3022161295 cites W2096309085 @default.
- W3022161295 cites W2107661464 @default.
- W3022161295 cites W2107749192 @default.
- W3022161295 cites W2111181238 @default.
- W3022161295 cites W2111866722 @default.
- W3022161295 cites W2115732803 @default.
- W3022161295 cites W2132322340 @default.
- W3022161295 cites W2142057670 @default.
- W3022161295 cites W2144279833 @default.
- W3022161295 cites W2167557160 @default.
- W3022161295 cites W2167801237 @default.
- W3022161295 cites W2324044936 @default.
- W3022161295 cites W2514896623 @default.
- W3022161295 cites W2623779865 @default.
- W3022161295 cites W2751784437 @default.
- W3022161295 cites W2784512264 @default.
- W3022161295 cites W2929751249 @default.
- W3022161295 cites W2945186361 @default.
- W3022161295 cites W2962770929 @default.
- W3022161295 doi "https://doi.org/10.1145/3313831.3376504" @default.
- W3022161295 hasPublicationYear "2020" @default.
- W3022161295 type Work @default.
- W3022161295 sameAs 3022161295 @default.
- W3022161295 citedByCount "14" @default.
- W3022161295 countsByYear W30221612952020 @default.
- W3022161295 countsByYear W30221612952021 @default.
- W3022161295 countsByYear W30221612952022 @default.
- W3022161295 countsByYear W30221612952023 @default.
- W3022161295 crossrefType "proceedings-article" @default.
- W3022161295 hasAuthorship W3022161295A5015553607 @default.
- W3022161295 hasAuthorship W3022161295A5033076979 @default.
- W3022161295 hasAuthorship W3022161295A5038336611 @default.
- W3022161295 hasAuthorship W3022161295A5056293017 @default.
- W3022161295 hasAuthorship W3022161295A5069878201 @default.
- W3022161295 hasBestOaLocation W30221612952 @default.
- W3022161295 hasConcept C107457646 @default.
- W3022161295 hasConcept C11413529 @default.
- W3022161295 hasConcept C119857082 @default.
- W3022161295 hasConcept C136389625 @default.
- W3022161295 hasConcept C154945302 @default.
- W3022161295 hasConcept C41008148 @default.
- W3022161295 hasConcept C48103436 @default.
- W3022161295 hasConcept C50644808 @default.
- W3022161295 hasConceptScore W3022161295C107457646 @default.
- W3022161295 hasConceptScore W3022161295C11413529 @default.
- W3022161295 hasConceptScore W3022161295C119857082 @default.
- W3022161295 hasConceptScore W3022161295C136389625 @default.
- W3022161295 hasConceptScore W3022161295C154945302 @default.
- W3022161295 hasConceptScore W3022161295C41008148 @default.
- W3022161295 hasConceptScore W3022161295C48103436 @default.
- W3022161295 hasConceptScore W3022161295C50644808 @default.
- W3022161295 hasLocation W30221612951 @default.
- W3022161295 hasLocation W30221612952 @default.
- W3022161295 hasOpenAccess W3022161295 @default.
- W3022161295 hasPrimaryLocation W30221612951 @default.
- W3022161295 hasRelatedWork W2981850339 @default.
- W3022161295 hasRelatedWork W3046775127 @default.
- W3022161295 hasRelatedWork W3094076422 @default.
- W3022161295 hasRelatedWork W3095538999 @default.
- W3022161295 hasRelatedWork W3162567751 @default.
- W3022161295 hasRelatedWork W3210156800 @default.
- W3022161295 hasRelatedWork W4220686584 @default.
- W3022161295 hasRelatedWork W4221088574 @default.
- W3022161295 hasRelatedWork W4226172683 @default.
- W3022161295 hasRelatedWork W4249546094 @default.
- W3022161295 isParatext "false" @default.
- W3022161295 isRetracted "false" @default.
- W3022161295 magId "3022161295" @default.
- W3022161295 workType "article" @default.