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Empirical Evaluation of Concept Probing for Game-Playing Agents
(IOS Press BV, 2024-10-16) Pálsson, Aðalsteinn; Björnsson, Yngvi; Endriss, Ulle; Melo, Francisco S.; Bach, Kerstin; Bugarin-Diz, Alberto; Alonso-Moral, Jose M.; Barro, Senen; Heintz, Fredrik; Department of Computer Science
Concept probing is one prominent methodology for interpreting and analyzing (deep) neural network models. It has, for example, formed the backbone of several recent works to understand better the high-level knowledge learned and employed by game-playing agents, particularly in chess. However, some recent theoretical and empirical studies have questioned the methodology's reliability and highlighted some limitations. Here, in the game-playing domain of chess, we investigate the effectiveness of several different probing architectures and look into the reliability of methods for interpreting their results. We use a world-class chess-playing agent as our test domain, which allows us, via self-play, to quantify the importance of the concepts identified in the agent's neural network by the concept probes. Our results demonstrate that the widespread practice of using linear probes and interpreting their accuracy to indicate concept importance is somewhat unreliable and needs to be revised. We demonstrate several ways of doing that in our domain, particularly by using more complex probes and amnesic-like probing.
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How far has research into disruptive innovations in the field of sustainability come to date?
(2024-10-30) Tarlan, Ahmadov; Susanne, Durst; Taina, Eriksson; Maria, Jussila; Aino, Saaristo
The term ‘disruptive innovation’ has been on everyone's lips for some years now, both in theory and in practice. This type of innovation is considered promising when it comes to the transition to sustainability. Based on a critical literature review comprising 121 academic articles, this study provides a systematic overview of the state of research on disruptive innovation for sustainability over 20 years. This overview makes it possible to determine whether and how an accumulation of knowledge has taken place in this area. The study reports on the selected theories, methods and definitions of the core concepts used. A thematic analysis was conducted that identified five broad themes, namely business models, people skills, supply chains, product/service development and transformations/transitions. In addition, the evolution of thematic areas over time is presented. The results indicate that there is a significant need for greater knowledge accumulation. This paper proposes concrete directions for future research to come closer to this goal.
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KokemUX : Step-by-Step UX Design Process
(Association for Computing Machinery, 2024-10-13) Larusdottir, Marta; Roto, Virpi; Visescu, Ioana; Department of Computer Science
Ensuring that software meets users’ needs is crucial for a good user experience. However, software developers sometimes prioritise their own needs, resulting in software that falls short for users. This tutorial introduces the KokemUX process, a structured user-centred approach to software development. By prioritising user needs throughout the development process, KokemUX ensures a positive user experience. Participants will learn key steps like creating an Eagle View, analysing user groups, and defining UX goals. Ideal for researchers and developers, this hands-on tutorial offers practical guidance for designing original and user-friendly digital services.
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Absolute beta power in exercisers and nonexercisers in preparation for the oddball task
(2024-10-02) Machado, Marcos; Fonseca, Renato; Zanchetta, Giovanna; Amoroso, Carlos; Vasconcelos, Alexandre; Costa, Élida; Nicoliche, Eduardo; Gongora, Mariana; Orsini, Marco; Vicente, Renan; Teixeira, Silmar; Budde, Henning; Cagy, Mauricio; Velasques, Bruna; Ribeiro, Pedro
Background High levels of physical conditioning are associated with improvements in cognitive performance. In this sense, electroencephalographic (ECG) correlates are used to investigate the enhancing role of physical exercise on executive functions. Oscillations in the β frequency range are proposed to be evident during sensorimotor activity. Objective To investigate the ECG changes influenced by aerobic and resistance exercises performed in an attention task by analyzing the differences in absolute β power in the prefrontal and frontal regions before, during, and after the oddball paradigm in practitioners and nonpractitioners of physical exercise. Methods There were 15 physical activity practitioners (aged 27 ǂ 4.71) and 15 nonpractitioners (age 28 ǂ 1.50) recruited. A two-way analysis of variance (ANOVA) was implemented to observe the main effect and the interaction between groups and moments (rest 1, pre-stimulus, and rest 2). Results An interaction between group and moment factors was observed for Fp1 (p < 0.001); Fp2 (p ¼ 0.001); F7 (p < 0.001); F8 (p < 0.001); F3 (p < 0.001); Fz (p < 0.001); and F4 (p < 0.001). Electrophysiological findings clarified exercisers’ specificity and neural efficiency in each prefrontal and frontal subarea. Conclusion Our findings lend support to the current understanding of the cognitive processes underlying physical exercise and provide new evidence on the relationship between exercise and cortical activity.
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Evaluating the Use of Unoccupied Aircraft Systems (UASs) for Planetary Exploration in Mars Analog Terrain
(2024-10-01) Carr, Brett B.; Varnam, Matthew; Hadland, Nathan; Shah, Jahnavi; Voigt, Joana R.C.; Gwizd, Samantha; Stack, Kathryn M.; Calef, Fred; Francis, Raymond; Basu, Udit; Björnsson, Baldur; Chen, Colin X.; Dong, Elisa; Moersch, Jeffrey E.; Phillips, Michael; Springer, Joshua; Neish, Catherine D.; Hamilton, Christopher W.; Department of Computer Science
Planetary analog mission simulations are essential for testing science operations strategies and technologies. They also teach us how to use terrestrial analogs to inform studies of extraterrestrial environments. Unoccupied aircraft systems (UASs) have great potential for planetary surface exploration as demonstrated by the Mars 2020 Ingenuity helicopter and the in-development Dragonfly mission to Saturn’s moon Titan. Although applications of UAS technology for planetary exploration remain largely unexplored, simulated missions in planetary analog terrains can inform operational best practices. As part of the Rover-Aerial Vehicle Exploration Network project, we simulated a 12 sol UAS mission on Mars in the Holuhraun region of Iceland. The UAS had airborne imaging capability, as well as imaging, sampling, and geochemical analysis capabilities while landed. The mission evaluated the use of these instruments and developed operational strategies for using UASs to explore a planetary surface. Oblique airborne images were essential for mission planning and were used to scout large areas to identify both potential landing sites and targets for focused investigations. The airborne and landed data collected by the UAS allowed for detailed observations and interpretations not possible with analog orbital data sets, resulting in an improved scientific return for the simulated UAS mission compared to a premission analysis of only the analog orbital data. As a planetary exploration vehicle, a UAS is most advantageous for exploring large areas (many square kilometers) and is particularly useful when the terrain may be impassable to ground-based traverses (e.g., by rovers or humans).

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