arXiv subjects

Dimitra Dritsa

Publications and source records attributed to Dimitra Dritsa.

4 recordsLinked to original sources

arXiv2026

The CHI26 Workshop on the Future of Cognitive Personal Informatics

Research on Cognitive Personal Informatics (CPI) is steadily growing as new wearable cognitive tracking technologies emerge on the consumer market, claiming to measure stress, focus, and other cognitive factors. At the same time, with generative AI offering new ways to analyse, visualize, and interpret cognitive data, we hypothesize that cognitive tracking will soon become as simple as measuring your heart rate during a run. Yet, cognitive data remains inherently more complex, context-dependent, and less well understood than physical activity data. This workshop brings together HCI experts to discuss critical questions, including: How can complex cognitive data be translated into meaningful metrics? How can AI support users' data sensemaking without over-simplifying cognitive insights? How can we design inclusive CPI technologies that consider inter-personal variance and neurodiversity? We will map

cs.HC↗

arXiv2025

Semantic Interactivity: leveraging NLP to enable a shared interaction approach for joint activities

Collocated collaboration, where individuals work together in the same physical space and time, remains a cornerstone of effective teamwork. However, most collaborative systems are designed to support individual tasks rather than joint activities; they enable interactions for users to complete tasks rather than interactivity to engage in shared experiences. In this work, we introduce an NLP-driven mechanism that enables semantic interactivity through a shared interaction mechanism. This mechanism was developed as part of CollEagle, an interactive tabletop system that supports shared externalisation practices by offering a low-effort way for users to create, curate, organise, and structure information to capture the essence of collaborative discussions. Our preliminary study highlights the potential for semantic interactivity to mediate group interactions, suggesting that the interaction approach paves the way for designing novel collaborative interfaces. We contribute our implementation and offer insights for future research to enable semantic interactivity in systems that support joint activities.

cs.HC↗

arXiv2025

Patient Perspectives on Telemonitoring during Colorectal Cancer Surgery Prehabilitation

Multimodal prehabilitation for colorectal cancer (CRC) surgery aims to optimize patient fitness and reduce postoperative complications. While telemonitoring's clinical value in supporting decision-making is recognized, patient perspectives on its use in prehabilitation remain underexplored, particularly compared to its related clinical context, rehabilitation. To address this gap, we conducted interviews with five patients who completed a four-week CRC prehabilitation program incorporating continuous telemonitoring. Our findings reveal patients' willingness to engage with telemonitoring, shaped by their motivations, perceived benefits, and concerns. We outline design considerations for patient-centered systems and offer a foundation for further research on telemonitoring in CRC prehabilitation.

cs.HC↗

arXiv2025

The Data-Expectation Gap: A Vocabulary Describing Experiential Qualities of Data Inaccuracies in Smartwatches

Many users of wrist-worn wearable fitness trackers encounter the data-expectation gap - mismatches between data and expectations. While we know such discrepancies exist, we are no closer to designing technologies that can address their negative effects. This is largely because encounters with mismatches are typically treated unidimensionally, while they may differ in context and implications. This treatment does not allow the design of human-data interaction (HDI) mechanisms accounting for temporal, social, emotional, and other factors potentially influencing the perception of mismatches. To address this problem, we present a vocabulary that describes the breadth and context-bound character of encounters with the data-expectation gap, drawing from findings from two studies. Our work contributes to Personal Informatics research providing knowledge on how encounters with the data-expectation gap are embedded in people's daily lives, and a vocabulary encapsulating this knowledge, which can be used when designing HDI experiences in wearable fitness trackers.

cs.HC↗