TY - GEN
T1 - What Kinds of Experiences Do You Desire? A Preliminary Study of the Desired Experiences of Contributors to Location-Based Mobile Crowdsourcing
AU - Lin, Fang Yu
AU - Lee, Chia Yi
AU - Ho, Yi Ting
AU - Chen, Yao Kuang
AU - Yen, Grace Yu Chun
AU - Chang, Yung Ju
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/4/28
Y1 - 2022/4/28
N2 - Mobile crowdsourcing enables people to learn location-related information from others with diverse experiences and opinions. However, little research has investigated the expected quality of the location-related information users of mobile-crowdsourcing platforms, and the levels and types of relevant experience such users expect crowd members to possess, respectively. To fill this gap, we first conducted an interview study with 22 participants, which yielded five key information properties of the answers to location-based questions: objectivity, relativity, specificity, temporal regularity, and variability. Based on his//her stated perceptions of these properties of the requested information, we deemed each participant to desire at least one, and up to 10 main qualities of the information, and seven main aspects of contributors' experience. A follow-up survey study was then used to quantify the characteristics of a list of location-related information according to the information properties that the 139 respondents perceived that information to have.
AB - Mobile crowdsourcing enables people to learn location-related information from others with diverse experiences and opinions. However, little research has investigated the expected quality of the location-related information users of mobile-crowdsourcing platforms, and the levels and types of relevant experience such users expect crowd members to possess, respectively. To fill this gap, we first conducted an interview study with 22 participants, which yielded five key information properties of the answers to location-based questions: objectivity, relativity, specificity, temporal regularity, and variability. Based on his//her stated perceptions of these properties of the requested information, we deemed each participant to desire at least one, and up to 10 main qualities of the information, and seven main aspects of contributors' experience. A follow-up survey study was then used to quantify the characteristics of a list of location-related information according to the information properties that the 139 respondents perceived that information to have.
KW - information quality
KW - location-based
KW - mobile crowdsourcing
KW - review
UR - http://www.scopus.com/inward/record.url?scp=85129703162&partnerID=8YFLogxK
U2 - 10.1145/3491101.3519744
DO - 10.1145/3491101.3519744
M3 - Conference contribution
AN - SCOPUS:85129703162
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
Y2 - 30 April 2022 through 5 May 2022
ER -