Standard

Chatterbox : Conversational Interfaces for Microtask Crowdsourcing. / Mavridis, Panagiotis; Huang, Owen; Qiu, Sihang; Gadiraju, Ujwal; Bozzon, Alessandro.

UMAP'19: Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA : Association for Computing Machinery (ACM), 2019. p. 243-251.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Mavridis, P, Huang, O, Qiu, S, Gadiraju, U & Bozzon, A 2019, Chatterbox: Conversational Interfaces for Microtask Crowdsourcing. in UMAP'19: Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), New York, NY, USA, pp. 243-251, UMAP 2019, Larnaca, Cyprus, 9/06/19. https://doi.org/10.1145/3320435.3320439

APA

Mavridis, P., Huang, O., Qiu, S., Gadiraju, U., & Bozzon, A. (2019). Chatterbox: Conversational Interfaces for Microtask Crowdsourcing. In UMAP'19: Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization (pp. 243-251). New York, NY, USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3320435.3320439

Vancouver

Mavridis P, Huang O, Qiu S, Gadiraju U, Bozzon A. Chatterbox: Conversational Interfaces for Microtask Crowdsourcing. In UMAP'19: Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: Association for Computing Machinery (ACM). 2019. p. 243-251 https://doi.org/10.1145/3320435.3320439

Author

Mavridis, Panagiotis ; Huang, Owen ; Qiu, Sihang ; Gadiraju, Ujwal ; Bozzon, Alessandro. / Chatterbox : Conversational Interfaces for Microtask Crowdsourcing. UMAP'19: Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA : Association for Computing Machinery (ACM), 2019. pp. 243-251

BibTeX

@inproceedings{39b8850f32a64d4dac85677cf63155c8,
title = "Chatterbox: Conversational Interfaces for Microtask Crowdsourcing",
abstract = "Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work, and the perceived satisfaction of 316 workers recruited from the FigureEight platform. We show that conversational interfaces can be used effectively for crowdsourcing microtasks, resulting in a high satisfaction from workers, and without having a negative impact on task execution time or work quality.",
keywords = "Microtask Crowdsourcing, Chatbots, Conversational Agents",
author = "Panagiotis Mavridis and Owen Huang and Sihang Qiu and Ujwal Gadiraju and Alessandro Bozzon",
note = "Accepted author manuscript",
year = "2019",
doi = "10.1145/3320435.3320439",
language = "English",
isbn = "978-1-4503-6021-0",
pages = "243--251",
booktitle = "UMAP'19",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - GEN

T1 - Chatterbox

T2 - Conversational Interfaces for Microtask Crowdsourcing

AU - Mavridis, Panagiotis

AU - Huang, Owen

AU - Qiu, Sihang

AU - Gadiraju, Ujwal

AU - Bozzon, Alessandro

N1 - Accepted author manuscript

PY - 2019

Y1 - 2019

N2 - Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work, and the perceived satisfaction of 316 workers recruited from the FigureEight platform. We show that conversational interfaces can be used effectively for crowdsourcing microtasks, resulting in a high satisfaction from workers, and without having a negative impact on task execution time or work quality.

AB - Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work, and the perceived satisfaction of 316 workers recruited from the FigureEight platform. We show that conversational interfaces can be used effectively for crowdsourcing microtasks, resulting in a high satisfaction from workers, and without having a negative impact on task execution time or work quality.

KW - Microtask Crowdsourcing

KW - Chatbots

KW - Conversational Agents

U2 - 10.1145/3320435.3320439

DO - 10.1145/3320435.3320439

M3 - Conference contribution

SN - 978-1-4503-6021-0

SP - 243

EP - 251

BT - UMAP'19

PB - Association for Computing Machinery (ACM)

CY - New York, NY, USA

ER -

ID: 52239339