CHI Conference on Human Factors in Computing Systems Extended Abstracts最新文献_第9页

Toward Handling the Complexities of Non-Anthropomorphic Hands 处理非拟人化手的复杂性

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519871

Jennifer L. Molnar, Y. Mengüç

引用次数: 0

Stakeholders and Value in the NFT Ecosystem: Towards a Multi-disciplinary Understanding of the NFT Phenomenon NFT生态系统中的利益相关者和价值:对NFT现象的多学科理解

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519694

Mehmet Aydın Baytaş, Amos Cappellaro, Ylva Fernaeus

引用次数: 17

Watch Your Flavors: Augmenting People’s Flavor Perceptions and Associated Emotions based on Videos Watched while Eating 注意你的味道:根据吃饭时观看的视频来增强人们的味道感知和相关情绪

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519846

Meetha Nesam James, Nimesha Ranasinghe, Anthony Tang, L. Oehlberg

引用次数: 0

Effect of Anthropomorphic Glyph Design on the Accuracy of Categorization Tasks 拟人字形设计对分类任务准确率的影响

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519748

Aditeya Pandey, P. Bex, M. Borkin

{"title":"Effect of Anthropomorphic Glyph Design on the Accuracy of Categorization Tasks","authors":"Aditeya Pandey, P. Bex, M. Borkin","doi":"10.1145/3491101.3519748","DOIUrl":"https://doi.org/10.1145/3491101.3519748","url":null,"abstract":"Data glyphs continue to gain popularity for information communication. However, the cognition and perception theory of glyphs is largely unknown for many tasks including “categorization”. Categorization tasks are common in everyday life from sorting objects to a doctor diagnosing a patient’s disease. However it is unknown how glyph designs, specifically anthropomorphic human-like representations which in prior visualization research have demonstrated improved information recall, affect accuracy in a categorization task. To better understand how people comprehend and perceive glyphs for categorization, including anthropomorphic representations, we conducted a crowdsourced experiment to evaluate whether more human-like glyphs would lead to higher categorization accuracy. Contrary to our hypothesis, we found evidence that subjects are more accurate with a less anthropomorphic glyph. A posthoc analysis also reveals that anthropomorphic glyphs introduce biases due to their anatomically salient features. Based on these results we propose design guidelines for glyphs used in categorization tasks. The supplemental material of this paper available is on https://osf.io/3bgcv/.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132185360","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

Shapeshifter: Gesture Typing in Virtual Reality with a Force-based Digital Thimble Shapeshifter:基于力的数字顶针在虚拟现实中的手势输入

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519679

Tafadzwa Joseph Dube, Kevin Johnson, A. Arif

引用次数: 4

Helping Voice Shoppers Make Purchase Decisions 帮助语音购物者做出购买决定

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519828

Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula

{"title":"Helping Voice Shoppers Make Purchase Decisions","authors":"Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula","doi":"10.1145/3491101.3519828","DOIUrl":"https://doi.org/10.1145/3491101.3519828","url":null,"abstract":"Online shoppers have a lot of information at their disposal when making a purchase decision. They can look at images of the product, read reviews, make comparisons with other products, do research online, read expert reviews, and more. Voice shopping (purchasing items via a Voice assistant such as Amazon Alexa or Google Assistant) is different. Voice introduces novel challenges as the communication channel is limited in terms of the amount of information people can and are willing to absorb. Because of this, the system should choose the single most effective nugget of information to help the customer, and present the information succinctly. In this paper we report on a within-subject user study (N = 24), in which we employed three template-based methods that use information from customer reviews, product attributes and search relevance signals to generate helpful supporting information. Our results suggest that: (1) supporting information from customer reviews significantly improves participants perception of system effectiveness (helping them make good decisions); (2) supporting information based on search relevance signals improves user perception of system transparency (providing insight into how the system works). We discuss the implications of our findings for providing supporting information for customers shopping by Voice.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134511964","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

Programmable Peripheral Vision: augment/reshape human visual perception 可编程周边视觉:增强/重塑人类视觉感知

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3503821

Qing Zhang

引用次数: 1

Ethics of Conversational User Interfaces 会话式用户界面的道德规范

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3503699

Minha Lee, Jaisie Sin, Guy Laban, Matthias Kraus, L. Clark, Martin Porcheron, Benjamin R. Cowan, Asbjørn Følstad, Cosmin Munteanu, Heloisa Candello

{"title":"Ethics of Conversational User Interfaces","authors":"Minha Lee, Jaisie Sin, Guy Laban, Matthias Kraus, L. Clark, Martin Porcheron, Benjamin R. Cowan, Asbjørn Følstad, Cosmin Munteanu, Heloisa Candello","doi":"10.1145/3491101.3503699","DOIUrl":"https://doi.org/10.1145/3491101.3503699","url":null,"abstract":"Building on the prior workshops on conversational user interfaces (CUIs) [2, 40], we tackle the topic of ethics of CUIs at CHI 2022. Though commercial CUI developments continue to rapidly advance, our scholarly dialogue on ethics of CUIs is underwhelming. The CUI community has implicitly been concerned with ethics, yet making it central to the growing body of work thus far has not been adequately done. Since ethics is a far-reaching topic, perspectives from philosophy, design, and engineering domains are integral to our CUI research community. For instance, philosophical traditions, e.g., deontology or virtue ethics, can guide ethical concepts that are relevant for CUIs, e.g., autonomy or trust. The practice of design through approaches like value sensitive design can inform how CUIs should be developed. Ethics comes into play with technical contributions, e.g., privacy-preserving data sharing between conversational systems. By considering such multidisciplinary angles, we come to a special topic of interest that ties together philosophy, design, and engineering: conversational disclosure, e.g., sharing personal information, transparency, e.g., as how to transparently convey relevant information in a conversational manner, and vulnerability of diverse user groups that should be taken into consideration.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"344 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123102723","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: 5

StoryBox: Independent Multi-modal Interactive Storytelling for Children with Visual Impairment StoryBox:视觉障碍儿童独立多模式互动讲故事

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519651

Bhavya Chopra, Richa Gupta

引用次数: 1

“Where did you first meet the owner?” – Exploring Usable Authentication for Smart Home Visitors “你第一次见到老板是在哪里?”-探索智能家居访客可用的身份验证

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519777

Sarah Prange, Sarah Delgado Rodriguez, Timo Doeding, Florian Alt

引用次数: 0