What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App. / Maharjan, Raju; Rohani, Darius A.; Doherty, Kevin; Bækgaard, Per; Bardram, Jakob Eyvind.

I: IEEE Pervasive Computing, Bind 21, Nr. 2, 2022, s. 60-68.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Maharjan, R, Rohani, DA, Doherty, K, Bækgaard, P & Bardram, JE 2022, 'What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App', IEEE Pervasive Computing, bind 21, nr. 2, s. 60-68. https://doi.org/10.1109/mprv.2022.3147374

APA

Maharjan, R., Rohani, D. A., Doherty, K., Bækgaard, P., & Bardram, J. E. (2022). What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App. IEEE Pervasive Computing, 21(2), 60-68. https://doi.org/10.1109/mprv.2022.3147374

Vancouver

Maharjan R, Rohani DA, Doherty K, Bækgaard P, Bardram JE. What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App. IEEE Pervasive Computing. 2022;21(2):60-68. https://doi.org/10.1109/mprv.2022.3147374

Author

Maharjan, Raju ; Rohani, Darius A. ; Doherty, Kevin ; Bækgaard, Per ; Bardram, Jakob Eyvind. / What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App. I: IEEE Pervasive Computing. 2022 ; Bind 21, Nr. 2. s. 60-68.

Bibtex

@article{0b009bcb68fd48a38032fd9109b5fde0,
title = "What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App",
abstract = "Adopting speech as their mode of interaction, speech-enabled conversational agent (CA) systems hold the potential to enable more natural and engaging self-report experiences than traditional media (e.g., pen and paper, web, or smartphone systems). Our recent research concerns the potential design and use of CAs to support mental health and wellbeing. In this article, we present findings from a study during which 22 individuals with affective disorders (e.g., depression, bipolar disorder) used either a speech-enabled CA or web app to self-report their emotional wellbeing. Analysis of users{\textquoteright} experiences and engagement with the system for daily self-report suggests that despite many technical limitations, users rated self-reporting via CA as a significantly novel and attractive experience yielding similar rates of engagement to a traditional web-based method",
author = "Raju Maharjan and Rohani, {Darius A.} and Kevin Doherty and Per B{\ae}kgaard and Bardram, {Jakob Eyvind}",
year = "2022",
doi = "10.1109/mprv.2022.3147374",
language = "English",
volume = "21",
pages = "60--68",
journal = "IEEE Pervasive Computing",
issn = "1536-1268",
publisher = "Institute of Electrical and Electronics Engineers",
number = "2",

}

RIS

TY - JOUR

T1 - What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App

AU - Maharjan, Raju

AU - Rohani, Darius A.

AU - Doherty, Kevin

AU - Bækgaard, Per

AU - Bardram, Jakob Eyvind

PY - 2022

Y1 - 2022

N2 - Adopting speech as their mode of interaction, speech-enabled conversational agent (CA) systems hold the potential to enable more natural and engaging self-report experiences than traditional media (e.g., pen and paper, web, or smartphone systems). Our recent research concerns the potential design and use of CAs to support mental health and wellbeing. In this article, we present findings from a study during which 22 individuals with affective disorders (e.g., depression, bipolar disorder) used either a speech-enabled CA or web app to self-report their emotional wellbeing. Analysis of users’ experiences and engagement with the system for daily self-report suggests that despite many technical limitations, users rated self-reporting via CA as a significantly novel and attractive experience yielding similar rates of engagement to a traditional web-based method

AB - Adopting speech as their mode of interaction, speech-enabled conversational agent (CA) systems hold the potential to enable more natural and engaging self-report experiences than traditional media (e.g., pen and paper, web, or smartphone systems). Our recent research concerns the potential design and use of CAs to support mental health and wellbeing. In this article, we present findings from a study during which 22 individuals with affective disorders (e.g., depression, bipolar disorder) used either a speech-enabled CA or web app to self-report their emotional wellbeing. Analysis of users’ experiences and engagement with the system for daily self-report suggests that despite many technical limitations, users rated self-reporting via CA as a significantly novel and attractive experience yielding similar rates of engagement to a traditional web-based method

U2 - 10.1109/mprv.2022.3147374

DO - 10.1109/mprv.2022.3147374

M3 - Journal article

VL - 21

SP - 60

EP - 68

JO - IEEE Pervasive Computing

JF - IEEE Pervasive Computing

SN - 1536-1268

IS - 2

ER -

ID: 335687695