A Tool for Conducting User Studies on Mobile Devices

@article{Costa2020ATF,
  title={A Tool for Conducting User Studies on Mobile Devices},
  author={Luca Costa and Mohammad Aliannejadi and Fabio A. Crestani},
  journal={Proceedings of the 2020 Conference on Human Information Interaction and Retrieval},
  year={2020}
}
With the ever-growing interest in the area of mobile information retrieval and the ongoing fast development of mobile devices and, as a consequence, mobile apps, an active research area lies in studying users' behavior and search queries users submit on mobile devices. However, many researchers require to develop an app that collects useful information from users while they search on their phones or participate in a user study. In this paper, we aim to address this need by providing a… 

Figures from this paper

The Impact of User Demographics and Task Types on Cross-App Mobile Search

This work aims to deepen the understanding of user behavior while accessing information on their mobile phones by conducting an extensive analysis of various aspects related to the search process, and study the effect of task type and user demographics on their behavior in interacting with mobile apps.

ARCHIE++ : A Cloud-enabled Framework for Conducting AR System Testing in the Wild

This paper presents ARCHIE++, a testing framework for conducting AR system testing and collecting user feedback in the wild, which provides a cloud-enabled and device-agnostic way for AR systems developers to improve their knowledge of environmental conditions and to support scalability and reproducibility when testing in theWild.

Mobile Application for Productive Families Business

In line with Vision 2030 KSA, to enable women economically by promoting and marketing family-made products at the lowest-cost. Moreover, Saudi productive families' projects considered as one of the

References

SHOWING 1-10 OF 16 REFERENCES

In Situ and Context-Aware Target Apps Selection for Unified Mobile Search

An in situ study to collect thousands of mobile queries enriched with mobile sensor data from 255 users during a three month period and proposes a simple yet effective neural model that significantly outperforms the baselines.

Target Apps Selection: Towards a Unified Search Framework for Mobile Devices

This paper introduces and study the task of target apps selection, which has various potential real-world applications and proposes two simple yet effective neural models that significantly outperform the baselines.

An In-Situ Study of Mobile App & Mobile Search Interactions

This report reports on a 2-week, mixed-method study involving 18 Android users, where real-world mobile search and mobile app usage data is collected alongside subjective insights on why certain interactions between apps and mobile search occur.

Understanding Mobile Search Task Relevance and User Behaviour in Context

A better understanding of how using smart phones on the go impacts search behaviour, search performance and task relevance and whether or not the actual context is an important factor is gained.

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance

There are significant differences between user search patterns in these three platforms, and therefore use the same ranking system is not an optimal solution for all of them, and a framework is proposed that leverages a set of domain-specific features, along with the training data from desktop search, to further improve the search relevance for mobile and tablet platforms.

Further into the Wild: Running Worldwide Trials of Mobile Systems

It is described how the development of a piece of ubiquitous computing software was able to be developed through user-informed design on a mass scale through the use of in-application feedback measures and web-based social networking applications.

The role of context in query input: using contextual signals to complete queries on mobile devices

A query prediction system which offers automatically generated word completions as the user is typing her query, and demonstrates a 46.4% improvement in query entry, measured by number of key presses needed to enter queries.

Experiments in the wild: public evaluation of off-screen visualizations in the Android market

It is concluded that public experiments are a viable tool to complement or replace lab studies, and three visualization techniques for off-screen objects by publishing a game in the Android Market are compared.

A large scale study of European mobile search behaviour

The characteristics of mobile search are studied by analysing approximately 6 million individual search requests generated by over 260,000 individual mobile searchers over a 7-day period during 2006 to understand, for the first time, just how well mobile search engines are responding to user queries.

Searching on the Go: The Effects of Fragmented Attention on Mobile Web Search Tasks

The results showed that the fragmented attention induced by the simulated conditions significantly affected both participants' objective and perceived search performance, as well as how hurried they felt and how engaged they were in the tasks.