New publication: Using Communication Frequency and Recency Context to Facilitate Mobile Contact List Retrieval

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.

Plessas, A., Stefanis V., Komninos A., & Garofalakis J. (2013).  Using Communication Frequency and Recency Context to Facilitate Mobile Contact List Retrieval. International Journal of Handheld Computing Research (IJHCR). 4(4), 52-71.. DOI:10.4018/ijhcr.2013100104
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HotCity: Augmenting paper maps with urban social context (Video)

Our work builds on urban social context data, sharing and displaying these in non-traditional mobile interfaces.
We have already investigated the visualisation of urban social context using heatmaps in pervasive displays and native mobile apps.
This latest demo shows our work in augmenting traditional paper maps with 3D artefacts, whose coloration and size is determined by social media data.

Check out the video on Youtube and read more about our work:

Measuring bumps on the road with Android

I used my Android phone to capture some vertical acceleration and positioning data on the road between Athens and Patras, using the AndroSensor app.

I pasted the data into a Google Docs spreadsheet and then used Google's heatmap layers to produce a heatmap of vertical acceleration on the road. I've also added some markers for the locations where the vertical acceleration exceeds 3m/s2.