Hardhats and bungaloos : comparing crowdsourced design feedback with peer design feedback in the classroom |
|
Author: | Oppenlaender, Jonas1; Kuosmanen, Elina1; Lucero, Andrés2; |
Organizations: |
1University of Oulu, Oulu, Finland 2Aalto University, Espoo, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.2 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2021051730028 |
Language: | English |
Published: |
Association for Computing Machinery,
2021
|
Publish Date: | 2021-05-17 |
Description: |
AbstractFeedback is an important aspect of design education, and crowdsourcing has emerged as a convenient way to obtain feedback at scale. In this paper, we investigate how crowdsourced design feedback compares to peer design feedback within a design-oriented HCI class and across two metrics: perceived quality and perceived fairness. We also examine the perceived monetary value of crowdsourced feedback, which provides an interesting contrast to the typical requester-centric view of the value of labor on crowdsourcing platforms. Our results reveal that the students (N = 106) perceived the crowdsourced design feedback as inferior to peer design feedback in multiple ways. However, they also identified various positive aspects of the online crowds that peers cannot provide. We discuss the meaning of the findings and provide suggestions for teachers in HCI and other researchers interested in crowd feedback systems on using crowds as a potential complement to peers. see all
|
ISBN Print: | 978-1-4503-8096-6 |
Pages: | 1 - 14 |
Article number: | 570 |
DOI: | 10.1145/3411764.3445380 |
OADOI: | https://oadoi.org/10.1145/3411764.3445380 |
Host publication: |
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems |
Conference: |
ACM SIGCHI Annual Conference on Human Factors in Computing Systems |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
We thank the students of the HCI course and the workers from Amazon Mechanical Turk who contributed their feedback in this study. This research is partially enabled by the GenZ strategic profiling project at the University of Oulu, supported by the Academy of Finland (project number 318930). |
Academy of Finland Grant Number: |
318930 |
Detailed Information: |
318930 (Academy of Finland Funding decision) |
Copyright information: |
© 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, https://doi.org/10.1145/3411764.3445380. |