TY - GEN
T1 - ShopWithme!
T2 - 50th Annual Hawaii International Conference on System Sciences, HICSS 2017
AU - Gao, Yanjun
AU - Reddy, Madhu
AU - Jansen, Bernard J.
N1 - Publisher Copyright:
© 2017 Proceedings of the Annual Hawaii International Conference on System Sciences. All rights reserved.
PY - 2017
Y1 - 2017
N2 - We present research on the development and evaluation of a collaborative search and shopping system for online retail tasks based on domain specific product requirements. We describe the design rationale for the system development and inclusion of collaborative features, including search, chat, clip-board, product suggestions, shared views, and shopping cart with a focus on how these features are used for collaborative online retail shopping and information searching and sharing. Our research goal is to understand whether collaborative search tools are useful in supporting actual collaborative online retail shopping tasks for experience goods. We describe system development and report findings from preliminary user studies of the system, using mixed methods analysis, with an emphasis on the qualitative findings. The findings highlight that systems for the online shopping domain can support searching, shared views, and group communication to aid in collaborative shopping for experience goods by improving information sharing among group members. Implications are that ecommerce systems, websites, and web apps should support collaboration based on product types.
AB - We present research on the development and evaluation of a collaborative search and shopping system for online retail tasks based on domain specific product requirements. We describe the design rationale for the system development and inclusion of collaborative features, including search, chat, clip-board, product suggestions, shared views, and shopping cart with a focus on how these features are used for collaborative online retail shopping and information searching and sharing. Our research goal is to understand whether collaborative search tools are useful in supporting actual collaborative online retail shopping tasks for experience goods. We describe system development and report findings from preliminary user studies of the system, using mixed methods analysis, with an emphasis on the qualitative findings. The findings highlight that systems for the online shopping domain can support searching, shared views, and group communication to aid in collaborative shopping for experience goods by improving information sharing among group members. Implications are that ecommerce systems, websites, and web apps should support collaboration based on product types.
UR - http://www.scopus.com/inward/record.url?scp=85057763516&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85057763516
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 505
EP - 514
BT - Proceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017
A2 - Bui, Tung X.
A2 - Sprague, Ralph
PB - IEEE Computer Society
Y2 - 3 January 2017 through 7 January 2017
ER -