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Proceedings ArticleDOI

Designing mobile awareness cues

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TLDR
The need to take into account what is known about humans' interpretational capabilities is suggested, and novel design opportunities that lie in the integration of cues with functionality and content on the mobile phone are pointed out.
Abstract
This paper considers how we may design future mobile awareness systems. Building upon research on social cognition, we suggest the need to take into account what is known about humans' interpretational capabilities. We identify design issues from the level of an individual awareness cue to the level of a product concept, systematically exposing the associated solution spaces. Using four real applications as analytical examples, we point out multiple ways in which design can affect the user's processing of awareness information and thereby yield different outcomes in the use of technology. We conclude by pointing out novel design opportunities that lie in the integration of cues with functionality and content on the mobile phone.

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Journal ArticleDOI

Usability of mobile applications: literature review and rationale for a new usability model

TL;DR: The PACMAD (People At the Centre of Mobile Application Development) usability model is introduced which was designed to address the limitations of existing usability models when applied to mobile devices.
Journal ArticleDOI

I Share, You Care: Private Status Sharing and Sender-Controlled Notifications in Mobile Instant Messaging

TL;DR: MyButler, an Android app prototype that instantiates two design concepts for MIM-private status sharing and sender-controlled notifications-that aim to lower the pressure for an immediate reply and reduce unnecessary interruptions by untimely notifications are built.

iCAMS2: Developing a mobile communication tool using location information and schedule information with J2ME

TL;DR: In this article, the authors introduce a mobile communication tool which uses location and schedule information, based on the lessons learned by conducting user studies on their previous system, they made improvements by implementing the use of mobile phones equipped with a GPS and a J2ME.
Book ChapterDOI

Mobile interaction design matters

TL;DR: In this paper, the authors explore possibilities of mobile interactions, looking at a range of activities in which children are involved that might be supported by mobile technologies and highlight aspects that might inspire design proposals.
References
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Proceedings ArticleDOI

ConNexus to awarenex: extending awareness to mobile users

TL;DR: This work discusses the design implications of providing awareness information on devices with varying interface and network characteristics and develops a series of prototypes that reflect the different design affordances and use context of each platform.
Proceedings ArticleDOI

The AWARE architecture: supporting context-mediated social awareness in mobile cooperation

TL;DR: The concept of Context-Mediated Social Awareness is presented to denote how context-aware computing can be used to facilitate social awareness and the AWARE architecture is presented, which is a generic platform for supporting context-mediated social awareness.
Book ChapterDOI

Adaptive On-Device Location Recognition

TL;DR: This work constructs a conceptual framework for the tasks of learning important locations and predicting the next location, and gives algorithms for efficient approximation of the ideal concepts, and evaluates them experimentally with real data.
Journal ArticleDOI

User-Centered Awareness in Computer-Supported Cooperative Work-Systems: Structured Embedding of Findings from Social Sciences

TL;DR: It can be concluded that awareness addresses different constellations of group settings, different types of individual behavior, and different contexts of use, which should help to achieve a shift from technology-driven development toward human-centered design of collaborative communities.
Proceedings ArticleDOI

How it works: a field study of non-technical users interacting with an intelligent system

TL;DR: An investigation into how users come to understand an intelligent system as they use it in their daily work suggests an appropriate level of feedback for user interfaces of intelligent systems, provides a baseline level of complexity for user understanding, and highlights the challenges of making users aware of sensed inputs for such systems.
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