Exploring user expectations of proactive AI systems

C Meurisch, CA Mihale-Wilson, A Hawlitschek… - Proceedings of the …, 2020 - dl.acm.org
Recent advances in artificial intelligence (AI) enabled digital assistants to evolve towards
proactive user support. However, expectations as to when and to what extent assistants …

[HTML][HTML] Intensive longitudinal data collection using microinteraction ecological momentary assessment: pilot and preliminary results

A Ponnada, S Wang, D Chu, B Do… - JMIR Formative …, 2022 - formative.jmir.org
Background: Ecological momentary assessment (EMA) uses mobile technology to enable in
situ self-report data collection on behaviors and states. In a typical EMA study, participants …

[HTML][HTML] Measuring criterion validity of microinteraction ecological momentary assessment (micro-ema): Exploratory pilot study with physical activity measurement

A Ponnada, B Thapa-Chhetry… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Ecological momentary assessment (EMA) is an in situ method of gathering self-
report on behaviors using mobile devices. In typical phone-based EMAs, participants are …

A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems

KS Kabir, J Wiese - Proceedings of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Personal informatics (PI) systems are designed for diverse users in the real world. Even
when these systems are usable, people encounter barriers while engaging with them in …

Data every day: Designing and living with personal situated visualizations

N Bressa, J Vermeulen, W Willett - … of the 2022 CHI Conference on …, 2022 - dl.acm.org
We explore the design and utility of situated manual self-tracking visualizations on dedicated
displays that integrate data tracking into existing practices and physical environments …

A multi-sensor approach to automatically recognize breaks and work activities of knowledge workers in academia

E Di Lascio, S Gashi, JS Hidalgo, B Nale… - Proceedings of the …, 2020 - dl.acm.org
Personal informatics systems for the work environment can help improving workers' well-
being and productivity. Using both self-reported data logged manually by the users and …

Write, attend and spell: Streaming end-to-end free-style handwriting recognition using smartwatches

Q Zhang, D Wang, R Zhao, Y Yu, JZ Jing - Proceedings of the ACM on …, 2021 - dl.acm.org
Text entry on a smartwatch is challenging due to its small form factor. Handwriting
recognition using the built-in sensors of the watch (motion sensors, microphones, etc.) …

Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs

S Volsa, D Lewetz, V Mlakic, C Bertagnoli… - Behavior Research …, 2024 - Springer
The experience sampling method (ESM) allows for a high degree of ecological validity
compared to laboratory research, at the cost of greater effort for participants. It would …

Toward lightweight In-situ self-reporting: An exploratory study of alternative smartwatch interface designs in context

X Yan, S Raj, B Huang, SY Park… - Proceedings of the ACM …, 2020 - dl.acm.org
In-situ self-reporting is an important measurement method used for capturing daily
experience data right-in-the-moment in dynamic contexts. Research has been conducted to …

Self-Reports in the field using smartwatches: An open-source firmware solution

S Volsa, B Batinic, S Stieger - Sensors, 2022 - mdpi.com
In situ self-reports are a useful tool in the social sciences to supplement laboratory
experiments. Smartwatches are a promising form factor to realize these methods. However …