As mobile contact lists get bigger and bigger the cognitive load on the user increases while trying to retrieve the next contact to start a communication session. In this paper we focus on the task of retrieving a contact when the purpose is to start a phone call, examining mobile users’ call logs and showing that it is possible to accurately predict the next contact to be called using relatively simple heuristics and algorithms that describe usage context. The authors present and discuss the results of the proposed method applied on a dataset collected from an experiment the authors organised involving 25 mobile users.
In smart spaces with connected smart lighting, there is an opportunity to deliver smartphone notifications using peripheral light, along with using standard smartphone modalities such as sound, vibration and LEDs, in order to help a user perceive them without constantly monitoring their mobile device. In this paper, we examine the effectiveness of on-device and extra-device modalities through smart lighting. We address a gap in literature by establishing a foundation that explains the role of modalities with which a notification is delivered on a mobile device. For this purpose, we conducted two ecologically valid and carefully designed experiments in a controlled environment that simulates multitasking in a smart home environment, and demonstrate that modality preferences are dependent on the environment context, by analysing subjective user data through a machine learning approach. We derive a set of guidelines for choosing notification modalities and set future research directions.
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