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Lisa Rhee

Biographic Data

ID6714981
NAMELisa Rhee
GIVEN NAMESLisa
FAMILY NAMERhee
SIGNATURERHEE L
AFFILIATIONSThe Ohio State University
ORCID0000-0001-5341-6884
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • The Right Fit

    Open Access•Aurelio Fernández, Yifei Lu et al.•ARTICLE•Social Psychological and…•2026

    Social interactions are crucial for social connection and well-being, yet individuals differ in how much they benefit from them. This two-week experience sampling study ( N = 157; 10,547 social interactions) explored how trait social anxiety shapes interaction quality (i.e., pleasantness, playfulness, and meaningfulness) and momentary energy. We also examined the moderating roles of interaction channel (face-to-face vs. mediated), group size (lar…

  • Which platforms count? The diverse meanings of “social media” in the United States

    Stephanie Torres-Pantoja, Lisa Rhee et al.•ARTICLE•Psychology of Popular Media•2026

  • Perceived vs. observed mHealth behavior

    Open Access•Chang Mao, Joseph B Bayer et al.•ARTICLE•Mobile Media & Communication•2023•Cited by: 1•References: 9

    Research on mHealth apps provides mixed evidence regarding their effectiveness for behavior change, including physical activity. Synthesizing prior perspectives, we test predictors of tracking app and physical activity intentions (Study 1; n = 658) and their links to everyday mobility (Study 2; n = 418; n = 27,617,440 observations). Study 1 showed that individuals have overlapping perceptions of tracking apps and physical activity. Taking a natur…

  • Tracking the temporal flows of mobile communication in daily life

    Open Access•Morgan Quinn Ro, Joseph B Bayer et al.•ARTICLE•New Media & Society•2023•Cited by: 2•References: 14

    Prior theoretical perspectives assert that mobile media and communication accelerate time perception. To test this hypothesis, we coupled mobile app logs and experience sampling to capture social app use and time perception in daily life. Participants ( N = 132) provided self-reports of time perception ( n = 9,081) and recordings of social app use ( n = 2,193,655). Although people perceived time as relatively fast on average, results did not supp…

  • Social by definition

    Open Access•Lisa Rhee, Joseph B Bayer et al.•ARTICLE•Telematics and Informatics•2021

  • Tracking the temporal flows of mobile communication in daily life

    Open Access•Morgan Quinn Ro, Joseph B Bayer et al.•ARTICLE•New Media & Society•2023•Cited by: 2•References: 14

    Prior theoretical perspectives assert that mobile media and communication accelerate time perception. To test this hypothesis, we coupled mobile app logs and experience sampling to capture social app use and time perception in daily life. Participants ( N = 132) provided self-reports of time perception ( n = 9,081) and recordings of social app use ( n = 2,193,655). Although people perceived time as relatively fast on average, results did not supp…

  • Perceived vs. observed mHealth behavior

    Open Access•Chang Mao, Joseph B Bayer et al.•ARTICLE•Mobile Media & Communication•2023•Cited by: 1•References: 9

    Research on mHealth apps provides mixed evidence regarding their effectiveness for behavior change, including physical activity. Synthesizing prior perspectives, we test predictors of tracking app and physical activity intentions (Study 1; n = 658) and their links to everyday mobility (Study 2; n = 418; n = 27,617,440 observations). Study 1 showed that individuals have overlapping perceptions of tracking apps and physical activity. Taking a natur…

  • Social by definition

    Open Access•Lisa Rhee, Joseph B Bayer et al.•ARTICLE•Telematics and Informatics•2021

  • Perceived vs. observed mHealth behavior

    Open Access•Chang Mao, Joseph B Bayer et al.•ARTICLE•Mobile Media & Communication•2023•Cited by: 1•References: 9

    Research on mHealth apps provides mixed evidence regarding their effectiveness for behavior change, including physical activity. Synthesizing prior perspectives, we test predictors of tracking app and physical activity intentions (Study 1; n = 658) and their links to everyday mobility (Study 2; n = 418; n = 27,617,440 observations). Study 1 showed that individuals have overlapping perceptions of tracking apps and physical activity. Taking a natur…

  • Tracking the temporal flows of mobile communication in daily life

    Open Access•Morgan Quinn Ro, Joseph B Bayer et al.•ARTICLE•New Media & Society•2023•Cited by: 2•References: 14

    Prior theoretical perspectives assert that mobile media and communication accelerate time perception. To test this hypothesis, we coupled mobile app logs and experience sampling to capture social app use and time perception in daily life. Participants ( N = 132) provided self-reports of time perception ( n = 9,081) and recordings of social app use ( n = 2,193,655). Although people perceived time as relatively fast on average, results did not supp…

  • The Right Fit

    Open Access•Aurelio Fernández, Yifei Lu et al.•ARTICLE•Social Psychological and…•2026

    Social interactions are crucial for social connection and well-being, yet individuals differ in how much they benefit from them. This two-week experience sampling study ( N = 157; 10,547 social interactions) explored how trait social anxiety shapes interaction quality (i.e., pleasantness, playfulness, and meaningfulness) and momentary energy. We also examined the moderating roles of interaction channel (face-to-face vs. mediated), group size (lar…

  • Which platforms count? The diverse meanings of “social media” in the United States

    Stephanie Torres-Pantoja, Lisa Rhee et al.•ARTICLE•Psychology of Popular Media•2026

Computer Science (3 works) · Impact of Technology on Adolescents (3 works) · Perception (3 works) · Psychology (3 works) · World Wide Web (3 works) · Experience sampling method (2 works) · Internet privacy (2 works) · Mobile apps (2 works) · Social media (2 works) · Social Media and Politics (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae