Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play最新文献_第7页

CollectiAR: Computer Vision-Based Word Hunt for Children with Dyslexia 集合:计算机视觉为基础的单词搜索儿童阅读障碍

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558318

Danlu Fei, Ze-Feng Gao, Linping Yuan, Z. Wen

{"title":"CollectiAR: Computer Vision-Based Word Hunt for Children with Dyslexia","authors":"Danlu Fei, Ze-Feng Gao, Linping Yuan, Z. Wen","doi":"10.1145/3505270.3558318","DOIUrl":"https://doi.org/10.1145/3505270.3558318","url":null,"abstract":"Children with dyslexia face extra challenges in reading and writing words. They need more learning exercises than children with typical development to acquire vocabulary, which is often repetitive and daunting. Research has shown that combining visuospatial information in practices helped children with dyslexia memorize words, especially the real-world physical context. Nevertheless, the existing word recognition and spelling training games for children with dyslexia were not able to leverage children’s immediate vicinity. Therefore, we designed an augmented reality mobile game, CollectiAR, that uses computer vision to identify objects in the player’s immediate vicinity and direct the player to learn words for these objects. Our formative study with two elementary school teachers and a first-grade pupil found that CollectiAR has the potential to be an integral part of teachers’ instructional design and an engaging way for pupils to practice vocabulary exercises. Our teacher participants suggested that CollectiAR provide interfaces for teachers to participate in the game content design and computer vision model correction.","PeriodicalId":375705,"journal":{"name":"Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130394206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

TouchMate: Understanding the Design of Body Actuating Games using Physical Touch TouchMate:理解使用物理触摸的身体驱动游戏的设计

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558332

Shreyas Nisal, Rakesh Patibanda, Aryan Saini, Elise van den Hoven, F. Mueller

引用次数: 2

A Community-based Investigation of Competitive Cheating 基于社区的竞争作弊调查

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558373

Selina Y. Cho

引用次数: 0

Grow Your Plant: A Plant-Based Game For Creating Awareness About Sustainability Behaviour by Using Renewable Energy 种植你的植物:一个基于植物的游戏，通过使用可再生能源来提高人们对可持续发展行为的认识

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558344

Raluca Chisalita, Markus Murtinger, Simone Kriglstein

引用次数: 4

Independent Validation of the Video Game Dispositional Flow Scale With League of Legends Players 《英雄联盟》玩家的电子游戏性格流量表的独立验证

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558351

Nick von Felten, Florian Brühlmann, S. Perrig

{"title":"Independent Validation of the Video Game Dispositional Flow Scale With League of Legends Players","authors":"Nick von Felten, Florian Brühlmann, S. Perrig","doi":"10.1145/3505270.3558351","DOIUrl":"https://doi.org/10.1145/3505270.3558351","url":null,"abstract":"Flow is a highly influential concept across many research domains. Because of the close links between enjoyment and flow, it is also a central concept in game research. Accordingly, many measurement instruments in the form of questionnaires have been developed to measure flow in video games. However, limited independent validation work has been carried out to date. In this project, we evaluated the recently developed Video Game Dispositional Flow Scale (VGDFS) in the context of League of Legends. An online survey posted on the online community reddit.com yielded a sample of N = 140. Confirmatory factor analysis did not support the originally proposed structure. Subsequent exploratory factor analysis resulted in inconclusive findings. Convergent validity with other questionnaires for the measurement of interest, enjoyment, and flow could be demonstrated in our data, although with unusually high correlations between the VGDFS and another flow measure. For divergent validity, correlations with questionnaires for the measurement of boredom and trait anxiety in the hypothesized direction could be found. Findings suggest that the VGDFS needs further evaluation in different video game contexts while also hinting at measurement problems possibly related to conceptual issues with flow.","PeriodicalId":375705,"journal":{"name":"Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131049403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reflections on Rigor and Reproducibility: Moving Toward a Community Standard for the Description of Artifacts in Experimental Games Research 关于严谨性和可重复性的思考:朝着实验游戏研究中人工制品描述的社区标准前进

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558360

K. Gerling, M. Birk

引用次数: 3

To Lag or Not to Lag: Understanding and Compensating Latency in Video Games 延迟或不延迟:理解和补偿电子游戏中的延迟

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558364

David Halbhuber

引用次数: 2

Save the Yummy Candyland: An Asymmetric Virtual Reality Game 拯救美味的糖果乐园:一个不对称的虚拟现实游戏

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558319

Emilie Maria Nybo Arendttorp, H. Winschiers-Theophilus, Helvi Itenge, Milo Marsfeldt Skovfoged

引用次数: 1

Focus Cat: Designing Idle Games to Promote Intermittent Practice and On-Going Adherence of Breathing Exercise for ADHD 焦点猫:设计空闲游戏，以促进间歇练习和持续坚持呼吸练习多动症

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558381

Book Sadprasid, Aaron Tabor, E. Scheme, Scott Bateman

{"title":"Focus Cat: Designing Idle Games to Promote Intermittent Practice and On-Going Adherence of Breathing Exercise for ADHD","authors":"Book Sadprasid, Aaron Tabor, E. Scheme, Scott Bateman","doi":"10.1145/3505270.3558381","DOIUrl":"https://doi.org/10.1145/3505270.3558381","url":null,"abstract":"Adherence and frequency of play are well-established challenges for serious games that target breathing exercises, because exercises are most effective when practiced in short and frequent sessions. Researchers have recognized that elements of idle games ideally align with many therapeutic use cases because idle games have a frequently repeating gameplay cycle that draws people in for short play sessions. However, there is little research about how idle games can be used to motivate consistent, frequent practice of therapies like breathing exercises that are often recommended for chronic conditions like ADHD. This paper describes the design and implementation of a therapeutic idle game, Focus Cat. This game is designed to help people with ADHD incorporate breathing exercises into their symptom management routine. Our work demonstrates how the unique qualities of idle game design—including short, frequent gameplay sessions, simple mechanics that make mundane tasks engaging and mechanics that pull and push players into and out of active gameplay—can be used for ADHD breathing exercises to improve adherence and frequency of practice.","PeriodicalId":375705,"journal":{"name":"Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cashflow Tracing: Detecting Online game bots leveraging financial analysis with Recurrent Neural Networks 现金流追踪:利用循环神经网络的财务分析来检测在线游戏机器人

Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play Pub Date : 2022-11-02 DOI: 10.1145/3505270.3558329

Kyung Ho Park, Eunjo Lee, H. Kim

{"title":"Cashflow Tracing: Detecting Online game bots leveraging financial analysis with Recurrent Neural Networks","authors":"Kyung Ho Park, Eunjo Lee, H. Kim","doi":"10.1145/3505270.3558329","DOIUrl":"https://doi.org/10.1145/3505270.3558329","url":null,"abstract":"Since game bots and Gold Farmer Group (GFG) create critical damage toward the ecosystem of MMORPGs, game companies have struggled to detect bot characters with various methods. Primarily, previous researches identified GFGs by analyzing particular behavior patterns of bots, but these methods have become easier to be neutralized as bots started to mimic normal characters. Moreover, the spread of mobile MMORPGs decreased the diversity of character behavior; thus, classification of behavior patterns between bots and users becomes a more challenging task. To address this problem, we propose a bot detection method which is generally applicable toward modern MMORPGs in both PC and mobile environment. We focused on the analogy that bot characters and normal characters show different patterns of financial activities. As game bots are born to collect game assets for Real Money Trade (RMT), they show patterned changes in financial status to maximize its efficiency. On the other hand, normal characters take various types of financial activity as users play various in-game contents, not only accumulate the asset. Throughout the study, our series of analysis propose contributions as follow. First, we clarified financial sequences of game bots are different from normal characters; therefore, the sequential form of financial features precisely describes the financial pattern of characters. Second, we established a bot detection model with Recurrent Neural Networks (RNN) trained with the aforementioned financial sequences. With the real-world log data extracted from three PC games (Lineage, Aion, Blade and Soul), and one mobile game (Lineage M), we validated the proposed detection model effectively identifies game bots from normal users. Lastly, our detection model is widely applicable in both PC MMORPG and mobile MMORPG.","PeriodicalId":375705,"journal":{"name":"Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127014732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0