A context-aware experience sampling tool

SS Intille, J Rondoni, C Kukla, I Ancona… - CHI'03 extended abstracts …, 2003 - dl.acm.org
A new software tool for user-interface development and assessment of ubiquitous computing
applications is available for CHI researchers. The software permits researchers to use …

Capturing mobile experience in the wild: A tale of two apps

A Patro, S Rayanchu, M Griepentrog, Y Ma… - Proceedings of the …, 2013 - dl.acm.org
We present a long term and large scale study of the experience of mobile users through two
popular but contrasting applications in the wild. To conduct this study, we implemented a …

[HTML][HTML] Gesture-Based Interactions: Integrating Accelerometer and Gyroscope Sensors in the Use of Mobile Apps

S Caro-Alvaro, E Garcia-Lopez, A Brun-Guajardo… - Sensors, 2024 - mdpi.com
This study investigates the feasibility and functionality of accelerometer and gyroscope
sensors for gesture-based interactions in mobile app user experience. The core of this …

Gamification of mobile experience sampling improves data quality and quantity

N Van Berkel, J Goncalves, S Hosio… - Proceedings of the ACM …, 2017 - dl.acm.org
The Experience Sampling Method is used to capture high-quality in situ data from study
participants. This method has become popular in studies involving smartphones, where it is …

A refined experience sampling method to capture mobile user experience

M Cherubini, N Oliver - arXiv preprint arXiv:0906.4125, 2009 - arxiv.org
This paper reviews research methods used to understand the user experience of mobile
technology. The paper presents an improvement of the Experience Sampling Method and …

The experience sampling method on mobile devices

N Van Berkel, D Ferreira, V Kostakos - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The Experience Sampling Method (ESM) is used by scientists from various disciplines to
gather insights into the intra-psychic elements of human life. Researchers have used the …

MoBeTrack: a toolkit to analyze user experience of mobile apps in the wild

A Generosi, A Altieri, S Ceccacci… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
MoBeTrack (Mobile Behaviour Tracking) is a toolkit for automated collection of data
necessary to support User Experience (UX) assessment of mobile applications. In contrast to …

Studying smartphone usage: Lessons from a four-month field study

A Rahmati, L Zhong - IEEE Transactions on Mobile Computing, 2012 - ieeexplore.ieee.org
Many emerging mobile applications and services are based on smartphones. We have
performed a four-month field study of the adoption and usage of smartphone-based services …

[HTML][HTML] Participatory digital health research: a new paradigm for mHealth tool development

E Morton, SJ Barnes, EE Michalak - General hospital psychiatry, 2020 - ncbi.nlm.nih.gov
The potential for mobile phone apps to support symptom management and wellbeing in
mental health is widely recognised, with demand further accelerated by the COVID-19 crisis …

Adapting user experience research methods for AI-driven experiences

C Kliman-Silver, O Siy, K Awadalla, A Lentz… - Extended Abstracts of …, 2020 - dl.acm.org
This short paper describes how to adapt user experience research methods for artificial
intelligence (AI)-driven applications. Presently, there is a dearth of guidance for conducting …