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< Back Echo Suite of Software (Showcase Brochure) Link Author(s) Florian Oliver Block, Marian Ursu, Jonathan David Hook, Ben Kirman, Anders Drachen, Simon Peter Demediuk, Athanasios Kokkinakis, [...], Alan Pedrassoli Chitayat, ... Abstract More info TBA Link

< Back Perception of emotions in knocking sounds: An evaluation study Link Author(s) M Houel, A Arun, A Berg, A Iop, A Barahona-Rios, S Pauletto Abstract More info TBA Link

< Back Grounded theory of accessible game development Link Author(s) J Kulik, J Beeston, P Cairns Abstract More info TBA Link

< Back Game AI hyperparameter tuning in rinascimento Link Author(s) I Bravi, V Volz, S Lucas Abstract More info TBA Link

< Back iGGi at Develop:Brighton 2023 Following the previous year’s success, the iGGi stand featured again on the Expo floor of the 2023 Develop:Brighton conference . This year’s Expo saw a record breaking 4970 visitors over the two days of its running (43% up from 3471 in 2022), and many of these visitors dropped by the iGGi stand to chat to us. Shifts at the iGGi stand were covered by the conference-attending iGGi PG Researchers (15 in total) who appreciated a break from their (often solitary) thesis/research work. With its stand presence at the Develop:Brighton Expo, iGGi is promoting the intersection between games industry and research. We are looking to engage the two in conversation. We want to foster ways of knowledge exchange that are mutually beneficial to both sides. If you want to learn more about existing pathways of knowledge exchange between iGGi and games companies, you can check out our Industry Info + KE page , but we are also always open for new ideas and formats. Please do get in touch if you require any further information. Previous 14 Jul 2023 Next

< Back How does Juicy Game Feedback Motivate? Testing Curiosity, Competence, and Effectance Link Author(s) D Kao, N Ballou, K Gerling, H Breitsohl, S Deterding Abstract More info TBA Link

< Back TAG: Pandemic Competition Link Author(s) RD Gaina, M Balla Abstract More info TBA Link

< Back Dr Jen Beeston University of York iGGi Alum + Supervisor Jen is currently working as a Lecturer in HCI in the Department of Computer Science (University of York) whilst writing up her PhD. She has a multidisciplinary background, from studying subjects such as environmental science and media production and having worked in various jobs such as grassland research, flood risk management, and plasterboard quality. She feels extraordinarily fortunate to have been able to do research into her lifelong hobby of playing digital games. In particular, Jen feels it is important that everyone has the opportunity to enjoy gaming should they wish. As such, her research has been aimed at exploring the experiences of people with disabilities in playing games, beyond how various technologies can support play. Jen’s research is focused particularly on the social experiences of players with disabilities in-game and within the broader gaming community. She has worked alongside the charity AbleGamers with the aims of investigating these player’s experiences of gaming, what effects alternative controls have upon play, and what it’s like for these players in multiplayer or online games. Jen is broadly interested in HCI, user experience, player experience, inclusivity, social play, and game communities. Outside of her work, she enjoys walking, thinking, reading, crochet, art, and tabletop roleplaying games. jen.beeston@york.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/jenbeeston/ LinkedIn BlueSky Github Featured Publication(s): Validation and Prioritization of Design Options for Accessible Player Experiences Social experiences of people with disabilities in playing (in) accessible digital games Enabled players: The value of accessible digital games Accessible player experiences (APX): The players Characteristics and motivations of players with disabilities in digital games Perceptions of Telepresence Robot Form Themes Accessibility - Previous Next

< Back Peter York University of York iGGi Alum PhD student working in analytics and machine learning for esports broadcast and understanding. In particular working with Weavr on various projects related to broadcast and learning tools for Dota 2. Please note: Updating of profile text in progress Email Mastodon https://pete-york.github.io Other links Website LinkedIn BlueSky Github Featured Publication(s): Data-Driven Audience Experiences in Esports Metagaming and metagames in Esports DAX: Data-Driven Audience Experiences in Esports A generalized framework for self-play training Themes Esports Game AI - Previous Next

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Kythera AI

< Back On State Representations and Behavioural Modelling Methods in Reinforcement Learning Link Author(s) H Siljebrat Abstract More info TBA Link

< Back Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Link Author(s) R Sasso, M Sabatelli, MA Wiering Abstract More info TBA Link