arXiv subjects

Helena Bøjer Djernæs

Publications and source records attributed to Helena Bøjer Djernæs.

3 recordsLinked to original sources

arXiv2025

Reflecting Human Values in XAI: Emotional and Reflective Benefits in Creativity Support Tools

In this workshop paper, we discuss the potential for measures of user-centric benefits (such as emotional well-being) that could be explored when evaluating explainable AI (XAI) systems within the arts. As a background to this, we draw from our recent review of creativity support tool (CST) evaluations, that found a paucity of studies evaluating CSTs for user-centric measures that benefit the user themselves. Specifically, we discuss measures of: (1) developing intrinsic abilities, (2) emotional well-being, (3) self-reflection, and (4) self-perception. By discussing these user-centric measures within the context of XAI and the arts, we wish to provoke discussion regarding the potential of such measures.

cs.HC↗

arXiv2025

Beyond Productivity: Rethinking the Impact of Creativity Support Tools

Creativity Support Tools (CSTs) are widely used across diverse creative domains, with generative AI recently increasing the abilities of CSTs. To better understand how the success of CSTs is determined in the literature, we conducted a review of outcome measures used in CST evaluations. Drawing from (n=173) CST evaluations in the ACM Digital Library, we identified the metrics commonly employed to assess user interactions with CSTs. Our findings reveal prevailing trends in current evaluation practices, while exposing underexplored measures that could broaden the scope of future research. Based on these results, we argue for a more holistic approach to evaluating CSTs, encouraging the HCI community to consider not only user experience and the quality of the generated output, but also user-centric aspects such as self-reflection and well-being as critical dimensions of assessment. We also highlight a need for validated measures specifically suited to the evaluation of generative AI in CSTs.

cs.HC↗

arXiv2025

Distributed Cognition for AI-supported Remote Operations: Challenges and Research Directions

This paper investigates the impact of artificial intelligence integration on remote operations, emphasising its influence on both distributed and team cognition. As remote operations increasingly rely on digital interfaces, sensors, and networked communication, AI-driven systems transform decision-making processes across domains such as air traffic control, industrial automation, and intelligent ports. However, the integration of AI introduces significant challenges, including the reconfiguration of human-AI team cognition, the need for adaptive AI memory that aligns with human distributed cognition, and the design of AI fallback operators to maintain continuity during communication disruptions. Drawing on theories of distributed and team cognition, we analyse how cognitive overload, loss of situational awareness, and impaired team coordination may arise in AI-supported environments. Based on real-world intelligent port scenarios, we propose research directions that aim to safeguard human reasoning and enhance collaborative decision-making in AI-augmented remote operations.

cs.HC↗