SearchMessenger

Bentley, Frank; Peesapati, S. Tejaswi

doi:10.1145/2998181.2998255

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…Morris presented a system called SearchTogether to support collaborative web searching [31]. Bently proposed SearchMessenger to avoid frequent switching back and forth between multiple apps in collaborative information seeking [5]. This line of research indicates that collaborative searching and decision-making are increasingly prevalent, and further investigations are needed for supporting such emerging phenomenon [30].…”

Section: Dynamic Queries and Collaborative Information Seekingmentioning

confidence: 99%

“…We implemented a mobile web app that a group of users can use to collaboratively find travel destinations with C-DQ. In developing the app, we incorporated five modules, which are widely used in supporting collaborative travel destination finding in online services used in the real world, and discussed in HCI and CSCW research (e.g., [13,30,5]). Fig.…”

Section: Mobile Web Appmentioning

confidence: 99%

“…Group members individually use online information seeking services such as Yelp, Amazon, or Airbnb to make decisions together. Despite the prevalence of collaborative decisionmaking, most of the services supporting such decisions are designed with a general, "de facto" assumption of an individual usage scenario [5,30]. For example, existing services present dynamic queries [2,18], which expose decision criteria to users and help them filter candidates along the criteria, supporting individual members as they iteratively search candidates and find different subsets of interest [34].…”

Section: Introductionmentioning

confidence: 99%

“…To understand how group awareness and different filtering methods affect small groups' decision-making behavior and perception, we conducted two controlled studies with nine groups that each included four mutual friends. In terms of the use context that we aimed to cover in these studies, we focused on dispersed situations in which mobile devices are part of decision-making practices, as they commonly are in the real world today [5]. The results of Study 1 show that group awareness improves the efficiency and effectiveness of communication and simultaneously increases perceived satisfaction with decisions when compared to the baseline condition.…”

Section: Introductionmentioning

confidence: 99%

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Collaborative Dynamic Queries

Hong

Suh

Riche

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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Communication is critical in small group decision-making processes during which each member must be able to express preferences to reach consensus. Finding consensus can be difficult when each member in a group has a perspective that potentially conflicts with those of others. To support groups attempting to harmonize diverse preferences, we propose Collaborative Dynamic Queries (C-DQ), a UI component that enables a group to filter queries over decision criteria while being aware of others' preferences. To understand how C-DQ affects a group's behavior and perception in the decision-making process, we conducted 2 studies with groups who were prompted to make decisions together on mobile devices in a dispersed and synchronous situation. In Study 1, we found showing group preferences with C-DQ helped groups to communicate more efficiently and effectively. In Study 2, we found filtering candidates based on each member's own filter range further improved a groups' communication efficiency and effectiveness.

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Section: Dynamic Queries and Collaborative Information Seekingmentioning

confidence: 99%

Section: Mobile Web Appmentioning

confidence: 99%