Pass-them-around

Lucero, Andrés; Holopainen, Jussi; Jokela, Tero

doi:10.1145/1978942.1979201

Cited by 145 publications

(36 citation statements)

References 27 publications

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“…Existing research has investigated systems that allow groups of co-located people to collaborate around a digital whiteboard with mobile devices (e.g., PDAs) [16,27,30,44]. With mobile devices alone, research has explored co-located collaboration for shopping [45], video [45], ideation [40] and content sharing [24,27]. Our work explicitly targets heterogeneous settings where devices with different capabilities are used to create a single collaborative system.…”

Section: Mobile Co-located Interaction and Collaborationmentioning

confidence: 99%

AdaM

Park

Gebhardt

Rädle

et al. 2018

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

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Optimization & Real-time Adaptation Figure 1. Given a graphical user interface (left), AdaM automatically decides which UI elements should be displayed on each device in real-time. Our optimization is designed for multi-user scenarios and considers user roles and preferences, device access restrictions and device characteristics. ABSTRACTDeveloping cross-device multi-user interfaces (UIs) is a challenging problem. There are numerous ways in which content and interactivity can be distributed. However, good solutions must consider multiple users, their roles, their preferences and access rights, as well as device capabilities. Manual and rule-based solutions are tedious to create and do not scale to larger problems nor do they adapt to dynamic changes, such as users leaving or joining an activity. In this paper, we cast the problem of UI distribution as an assignment problem and propose to solve it using combinatorial optimization. We present a mixed integer programming formulation which allows realtime applications in dynamically changing collaborative settings. It optimizes the allocation of UI elements based on device capabilities, user roles, preferences, and access rights. We present a proof-of-concept designer-in-the-loop tool, allowing for quick solution exploration. Finally, we compare our approach to traditional paper prototyping in a lab study.

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Section: Mobile Co-located Interaction and Collaborationmentioning

confidence: 99%

AdaM

Park

Gebhardt

Rädle

et al. 2018

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

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“…Objects found near phones also largely overlap with our expectations. Bottles, glasses, bowls, and lamps are rather common, while we did not expect the amount of nearby other phones (which supports collaborative usage scenarios such as [29]). Generalizing the found object set, we can sort the found objects into a set of five categories (also illustrated with proxies in Figure 6):…”

Section: Devices and Interaction Designmentioning

confidence: 80%

Around-device devices

Pohl¹,

Rohs²

2014

Proceedings of the 16th International Conference on Human-Computer Interaction With Mobile Devices &Amp; Services

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For many people their phones have become their main everyday tool. While phones can fulfill many different roles they also require users to (1) make do with affordance not specialized for the specific task, and (2) closely engage with the device itself. We propose utilizing the space and objects around the phone to offer better task affordance and to create an opportunity for casual interactions. Such around-device devices are a class of interactors that do not require users to bring special tangibles, but repurpose items already found in the user's surroundings. In a survey study, we determine which places and objects are available to around-device devices. Furthermore, in an elicitation study, we observe what objects users would use for ten interactions.

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“…Proxemic dimensions [22,23,24] have also been applied to mobile multi-device scenarios (e.g., [17,25,26,27,28,29,30,31]. Proxemics can be understood as culturally dependent ways in which people use interpersonal distance to understand and mediate their interactions with other people.…”

Section: Design Challengesmentioning

confidence: 99%

Challenges in mobile multi-device ecosystems

2016

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Coordinated multi-display environments from the desktop, second-screen to gigapixel display walls are increasingly common. Personal and intimate mobile and wearable devices such as head-mounted displays, smartwatches, smartphones and tablets are rarely part of such multi-device ecosystems. With this paper, we contribute to a better understanding about factors that impede the creation and use of such mobile multi-device ecosystems. We base our findings on literature research and an expert survey. Specifically, we present grounded challenges relevant for the design, development and use of mobile multi-device environments.

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Pass-them-around

Cited by 145 publications

References 27 publications

AdaM

AdaM

Around-device devices

Challenges in mobile multi-device ecosystems

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