FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922108464> ?p ?o ?g. }

• W2922108464 endingPage "927" @default.
• W2922108464 startingPage "913" @default.
• W2922108464 abstract "Smartphones provide the capability to perform in-situ sampling of human behavior using Experience Sampling Method (ESM). Designing an ESM schedule involves probing the user repeatedly at suitable moments to collect self-reports. Timely probe generation to collect high fidelity user responses while keeping probing rate low is challenging. In mobile-based ESM, timeliness of the probe is also impacted by user's availability to respond to self-report request. Thus, a good ESM design must consider - <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>probing frequency</i> , <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>timely self-report collection</i> , and <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>notifying at opportune moment</i> to ensure high <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>response quality</i> . We propose a two-phase ESM design, where the first phase (a) balances between probing frequency and self-report timeliness, and (b) in parallel, constructs a predictive model to identify opportune probing moments. The second phase uses this model to further improve response quality by eliminating inopportune probes. We use typing-based emotion detection in smartphone as a case study to validate proposed ESM design. Our results demonstrate that it reduces probing rate by 64 percent, samples self-reports timely by reducing elapsed time between self-report collection, and event trigger by 9 percent while detecting inopportune moments with an average accuracy of 89 percent. These design choices improve the response quality, as manifested by 96 percent valid response collection and a maximum improvement of 24 percent in emotion classification accuracy." @default.
• W2922108464 created "2019-03-22" @default.
• W2922108464 creator A5008904693 @default.
• W2922108464 creator A5051854503 @default.
• W2922108464 creator A5073812421 @default.
• W2922108464 creator A5090678082 @default.
• W2922108464 date "2021-10-01" @default.
• W2922108464 modified "2023-09-27" @default.
• W2922108464 title "Designing an Experience Sampling Method for Smartphone Based Emotion Detection" @default.
• W2922108464 cites W1491064235 @default.
• W2922108464 cites W1741920700 @default.
• W2922108464 cites W1918197638 @default.
• W2922108464 cites W1998431265 @default.
• W2922108464 cites W2001097956 @default.
• W2922108464 cites W2021877655 @default.
• W2922108464 cites W2034841618 @default.
• W2922108464 cites W2042452443 @default.
• W2922108464 cites W2042558618 @default.
• W2922108464 cites W2056591916 @default.
• W2922108464 cites W2060118520 @default.
• W2922108464 cites W2078074240 @default.
• W2922108464 cites W2082834508 @default.
• W2922108464 cites W2102570173 @default.
• W2922108464 cites W2109768653 @default.
• W2922108464 cites W2120081464 @default.
• W2922108464 cites W2130763650 @default.
• W2922108464 cites W2133990480 @default.
• W2922108464 cites W2135136291 @default.
• W2922108464 cites W2137363687 @default.
• W2922108464 cites W2141023095 @default.
• W2922108464 cites W2142057670 @default.
• W2922108464 cites W2149628368 @default.
• W2922108464 cites W2150662023 @default.
• W2922108464 cites W2152560486 @default.
• W2922108464 cites W2154298720 @default.
• W2922108464 cites W2156567116 @default.
• W2922108464 cites W2167460663 @default.
• W2922108464 cites W2476574195 @default.
• W2922108464 cites W2500118862 @default.
• W2922108464 cites W2509887407 @default.
• W2922108464 cites W2513527602 @default.
• W2922108464 cites W2517136621 @default.
• W2922108464 cites W2610556663 @default.
• W2922108464 cites W2738747249 @default.
• W2922108464 cites W2751784437 @default.
• W2922108464 cites W2753514928 @default.
• W2922108464 cites W2756470421 @default.
• W2922108464 cites W2963933057 @default.
• W2922108464 cites W4211012844 @default.
• W2922108464 doi "https://doi.org/10.1109/taffc.2019.2905561" @default.
• W2922108464 hasPublicationYear "2021" @default.
• W2922108464 type Work @default.
• W2922108464 sameAs 2922108464 @default.
• W2922108464 citedByCount "14" @default.
• W2922108464 countsByYear W29221084642019 @default.
• W2922108464 countsByYear W29221084642020 @default.
• W2922108464 countsByYear W29221084642021 @default.
• W2922108464 countsByYear W29221084642022 @default.
• W2922108464 countsByYear W29221084642023 @default.
• W2922108464 crossrefType "journal-article" @default.
• W2922108464 hasAuthorship W2922108464A5008904693 @default.
• W2922108464 hasAuthorship W2922108464A5051854503 @default.
• W2922108464 hasAuthorship W2922108464A5073812421 @default.
• W2922108464 hasAuthorship W2922108464A5090678082 @default.
• W2922108464 hasBestOaLocation W29221084642 @default.
• W2922108464 hasConcept C106131492 @default.
• W2922108464 hasConcept C111472728 @default.
• W2922108464 hasConcept C138885662 @default.
• W2922108464 hasConcept C140779682 @default.
• W2922108464 hasConcept C15744967 @default.
• W2922108464 hasConcept C2779530757 @default.
• W2922108464 hasConcept C31972630 @default.
• W2922108464 hasConcept C41008148 @default.
• W2922108464 hasConcept C65499552 @default.
• W2922108464 hasConcept C77805123 @default.
• W2922108464 hasConceptScore W2922108464C106131492 @default.
• W2922108464 hasConceptScore W2922108464C111472728 @default.
• W2922108464 hasConceptScore W2922108464C138885662 @default.
• W2922108464 hasConceptScore W2922108464C140779682 @default.
• W2922108464 hasConceptScore W2922108464C15744967 @default.
• W2922108464 hasConceptScore W2922108464C2779530757 @default.
• W2922108464 hasConceptScore W2922108464C31972630 @default.
• W2922108464 hasConceptScore W2922108464C41008148 @default.
• W2922108464 hasConceptScore W2922108464C65499552 @default.
• W2922108464 hasConceptScore W2922108464C77805123 @default.
• W2922108464 hasFunder F4320313903 @default.
• W2922108464 hasIssue "4" @default.
• W2922108464 hasLocation W29221084641 @default.
• W2922108464 hasLocation W29221084642 @default.
• W2922108464 hasOpenAccess W2922108464 @default.
• W2922108464 hasPrimaryLocation W29221084641 @default.
• W2922108464 hasRelatedWork W1498271178 @default.
• W2922108464 hasRelatedWork W2079635178 @default.
• W2922108464 hasRelatedWork W2116911522 @default.
• W2922108464 hasRelatedWork W2129076442 @default.
• W2922108464 hasRelatedWork W2141023095 @default.
• W2922108464 hasRelatedWork W2754141758 @default.
• W2922108464 hasRelatedWork W2785230770 @default.

• next