Older adults often struggle to locate a function quickly in feature-rich user interfaces (UIs). Mobile UIs not only pack a ton of features in a small screen but also get frequent updates to their visual layouts—thereby exacerbating the problem. This paper explores a design solution where users could search for a UI feature using spoken-word queries. We investigated: 1) what type of questions older users ask when facing interaction challenges in unfamiliar scenarios, 2) how those query types compare with younger users’ inquiries, and 3) how older adults use a voice assistant design probe in a Wizard-of-Oz (WoZ) study. Results reveal five query types when verbally articulating interaction issues: validation, directed and undirected informational, navigational, and conceptual. In the WoZ study, older users typically asked for help following a series of non-unique or off-task feature selections (n = 13/15), and in 77% of those instances, they completed the task in the next interaction.
{"title":"“Where is history”: Toward Designing a Voice Assistant to help Older Adults locate Interface Features quickly","authors":"Ja Eun Yu, Natalie Parde, Debaleena Chattopadhyay","doi":"10.1145/3544548.3581447","DOIUrl":"https://doi.org/10.1145/3544548.3581447","url":null,"abstract":"Older adults often struggle to locate a function quickly in feature-rich user interfaces (UIs). Mobile UIs not only pack a ton of features in a small screen but also get frequent updates to their visual layouts—thereby exacerbating the problem. This paper explores a design solution where users could search for a UI feature using spoken-word queries. We investigated: 1) what type of questions older users ask when facing interaction challenges in unfamiliar scenarios, 2) how those query types compare with younger users’ inquiries, and 3) how older adults use a voice assistant design probe in a Wizard-of-Oz (WoZ) study. Results reveal five query types when verbally articulating interaction issues: validation, directed and undirected informational, navigational, and conceptual. In the WoZ study, older users typically asked for help following a series of non-unique or off-task feature selections (n = 13/15), and in 77% of those instances, they completed the task in the next interaction.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132028444","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}
Information services for maternal and child health are increasingly being implemented at scale and integrated into public health infrastructures in Global South countries. These services often disseminate tailored health information and provide channels for families to ask questions to health workers. With increasing uptake, these services are intervening into a highly gendered space and shaping care work and information-seeking in new ways. We present a study of a patient education program and associated WhatsApp-based information service deployed across multiple states in India, drawing on observations, interviews, and analysis of chat records. Building on notions of “unsettling care” [63], we examine what it means to deploy such an intervention in inequitable, fragmented health systems. We find that even as the intervention focuses on individual behavior change, it also runs up against structural issues, such as the overburden of health workers, an illegible health system, and gendered power dynamics that extend beyond the realm of the home. We use our findings to unsettle notions of how the intervention provides care, and to reframe how we might think about the design and implementation of health information services to also engage with structural issues.
{"title":"Unsettling Care Infrastructures: From the Individual to the Structural in a Digital Maternal and Child Health Intervention","authors":"Naveena Karusala, Victoria G, S. Yan, R. Anderson","doi":"10.1145/3544548.3581553","DOIUrl":"https://doi.org/10.1145/3544548.3581553","url":null,"abstract":"Information services for maternal and child health are increasingly being implemented at scale and integrated into public health infrastructures in Global South countries. These services often disseminate tailored health information and provide channels for families to ask questions to health workers. With increasing uptake, these services are intervening into a highly gendered space and shaping care work and information-seeking in new ways. We present a study of a patient education program and associated WhatsApp-based information service deployed across multiple states in India, drawing on observations, interviews, and analysis of chat records. Building on notions of “unsettling care” [63], we examine what it means to deploy such an intervention in inequitable, fragmented health systems. We find that even as the intervention focuses on individual behavior change, it also runs up against structural issues, such as the overburden of health workers, an illegible health system, and gendered power dynamics that extend beyond the realm of the home. We use our findings to unsettle notions of how the intervention provides care, and to reframe how we might think about the design and implementation of health information services to also engage with structural issues.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130486681","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}
Laser-cutting is a promising fabrication method that empowers makers, including blind or visually-impaired (BVI) creators, to create technologies that fit their needs. Existing work on laser-cut accessibility has facilitated easier assembly as a workaround for existing models. However, laser-cut models are still not designed to accommodate the needs of BVI users. Integrating BVI needs can enrich the greater maker community by enabling cross-group discourse on laser-cut making. To investigate how laser-cut model design can be more accessible overall, we study laser-cut assembly as a process deeply intertwined with the fundamental design of laser-cut models. We present a study with seven sighted and seven BVI participants to compare their usage of laser-cut model affordances during assembly. Data for the BVI participants in this study originate from a previous work [13]. We identify assembly cues common or unique to sighted and BVI users, and discuss implications to improve general accessibility in laser-cut design.
{"title":"Understanding (Non-)Visual Needs for the Design of Laser-Cut Models","authors":"Ruei-Che Chang, Seraphina Yong, Fang-Ying Liao, Chih-An Tsao, Bing-Yu Chen","doi":"10.1145/3544548.3580684","DOIUrl":"https://doi.org/10.1145/3544548.3580684","url":null,"abstract":"Laser-cutting is a promising fabrication method that empowers makers, including blind or visually-impaired (BVI) creators, to create technologies that fit their needs. Existing work on laser-cut accessibility has facilitated easier assembly as a workaround for existing models. However, laser-cut models are still not designed to accommodate the needs of BVI users. Integrating BVI needs can enrich the greater maker community by enabling cross-group discourse on laser-cut making. To investigate how laser-cut model design can be more accessible overall, we study laser-cut assembly as a process deeply intertwined with the fundamental design of laser-cut models. We present a study with seven sighted and seven BVI participants to compare their usage of laser-cut model affordances during assembly. Data for the BVI participants in this study originate from a previous work [13]. We identify assembly cues common or unique to sighted and BVI users, and discuss implications to improve general accessibility in laser-cut design.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131323871","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}
Saskia Haug, Ivo Benke, Daniel Fischer, A. Maedche
Crowd feedback overcomes scalability issues of feedback collection on interactive website designs. However, collecting feedback on crowdsourcing platforms decouples the feedback provider from the context of use. This creates more effort for crowdworkers to immerse into such context in crowdsourcing tasks. In this paper, we present CrowdSurfer, a browser extension that seamlessly integrates design feedback collection in crowdworkers’ everyday internet surfing. This enables the scalable collection of in situ feedback and, in parallel, allows crowdworkers to flexibly integrate their work into their daily activities. In a field study, we compare the CrowdSurfer against traditional feedback collection. Our qualitative and quantitative results reveal that, while in situ feedback with the CrowdSurfer is not necessarily better, crowdworkers appreciate the effortless, enjoyable, and innovative method to conduct feedback tasks. We contribute with our findings on in situ feedback collection and provide recommendations for the integration of crowdworking tasks in everyday internet surfing.
{"title":"CrowdSurfer: Seamlessly Integrating Crowd-Feedback Tasks into Everyday Internet Surfing","authors":"Saskia Haug, Ivo Benke, Daniel Fischer, A. Maedche","doi":"10.1145/3544548.3580994","DOIUrl":"https://doi.org/10.1145/3544548.3580994","url":null,"abstract":"Crowd feedback overcomes scalability issues of feedback collection on interactive website designs. However, collecting feedback on crowdsourcing platforms decouples the feedback provider from the context of use. This creates more effort for crowdworkers to immerse into such context in crowdsourcing tasks. In this paper, we present CrowdSurfer, a browser extension that seamlessly integrates design feedback collection in crowdworkers’ everyday internet surfing. This enables the scalable collection of in situ feedback and, in parallel, allows crowdworkers to flexibly integrate their work into their daily activities. In a field study, we compare the CrowdSurfer against traditional feedback collection. Our qualitative and quantitative results reveal that, while in situ feedback with the CrowdSurfer is not necessarily better, crowdworkers appreciate the effortless, enjoyable, and innovative method to conduct feedback tasks. We contribute with our findings on in situ feedback collection and provide recommendations for the integration of crowdworking tasks in everyday internet surfing.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128993008","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}
Soft (compliant) curvature-changing UIs provide haptic feedback through changes in softness and curvature. Different softness can impact the deformation of UIs when worn and touched, and thus impact the users’ perception of the curvature. To investigate how softness impacts users’ perception of curvature, we measured participants’ curvature perception accuracy and precision in different softness conditions. We found that participants perceived the curviest surfaces with similar precision in all different softness conditions. Participants lost half the precision of the rigid material when touching the flattest surfaces with the softest material. Participants perceived all curvatures with similar accuracy in all softness conditions. The results of our experiment lay the foundation for soft curvature perception and provide guidelines for the future design of curvature- and softness-changing UIs.
{"title":"Impact of softness on users’ perception of curvature for future soft curvature-changing UIs","authors":"Zhuzhi Fan, C. Coutrix","doi":"10.1145/3544548.3581179","DOIUrl":"https://doi.org/10.1145/3544548.3581179","url":null,"abstract":"Soft (compliant) curvature-changing UIs provide haptic feedback through changes in softness and curvature. Different softness can impact the deformation of UIs when worn and touched, and thus impact the users’ perception of the curvature. To investigate how softness impacts users’ perception of curvature, we measured participants’ curvature perception accuracy and precision in different softness conditions. We found that participants perceived the curviest surfaces with similar precision in all different softness conditions. Participants lost half the precision of the rigid material when touching the flattest surfaces with the softest material. Participants perceived all curvatures with similar accuracy in all softness conditions. The results of our experiment lay the foundation for soft curvature perception and provide guidelines for the future design of curvature- and softness-changing UIs.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129276757","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}
Gary Hsieh, Brett A. Halperin, E. Schmitz, Yen Nee Chew, Y. Tseng
Card-based design tools–design cards–increasingly present opportunities to support practitioners. However, the breadth and depth of the design card landscape remain underexplored. In this work, we surveyed 103 design practitioners to assess current usages and associated barriers. Additionally, we analyzed and classified 161 decks of design cards from 1952-2020. We held a workshop with four experienced practitioners to generate initial categories, and then coded the remaining decks. We found that the cards contain seven different types of design knowledge: Creative Inspiration; Human Insights; Material & Domain; Methods & Tooling; Problem Definition; Team Building; and Values in Practice. The content of these cards can support designers across design stages; however, most are intended to support the early stages of design (e.g., research and ideation) rather than later design stages (e.g., prototyping and implementation). We share additional patterns uncovered and provide recommendations to support the future development and adoption of these tools.
{"title":"What is in the Cards: Exploring Uses, Patterns, and Trends in Design Cards","authors":"Gary Hsieh, Brett A. Halperin, E. Schmitz, Yen Nee Chew, Y. Tseng","doi":"10.1145/3544548.3580712","DOIUrl":"https://doi.org/10.1145/3544548.3580712","url":null,"abstract":"Card-based design tools–design cards–increasingly present opportunities to support practitioners. However, the breadth and depth of the design card landscape remain underexplored. In this work, we surveyed 103 design practitioners to assess current usages and associated barriers. Additionally, we analyzed and classified 161 decks of design cards from 1952-2020. We held a workshop with four experienced practitioners to generate initial categories, and then coded the remaining decks. We found that the cards contain seven different types of design knowledge: Creative Inspiration; Human Insights; Material & Domain; Methods & Tooling; Problem Definition; Team Building; and Values in Practice. The content of these cards can support designers across design stages; however, most are intended to support the early stages of design (e.g., research and ideation) rather than later design stages (e.g., prototyping and implementation). We share additional patterns uncovered and provide recommendations to support the future development and adoption of these tools.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125379295","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}
Supporting disabled populations and their unpaid carers through designing sustainable healthcare interventions and infrastructures, is an important, yet challenging, area in HCI research. We report on a collaboration with 23 disabled citizens, unpaid carers, and a care organisation, wishing to co-develop digital responses to challenges they face in the management of self-directed care budgets. We describe how leveraging participatory methods, including asynchronous and remote engagements, enabled the co-creation of a sustainable digital common-pool resource, used by over 5,000 people worldwide. This study contributes novel configurations of methods and tools for co-design with ‘seldom heard’ populations. Demonstrating how these enabled the collective articulation of what constitutes trust, governance, and responsibility, in the design of a digital commons, “MyCareBudget”, offering peer-produced care documents for use by disabled citizens and their unpaid carers. We discuss implications for HCI interested in co-designing sustainable socio-technical interventions with underserved and marginalised populations, in healthcare settings.
{"title":"MyCareBudget: Co-creating a Healthcare Digital Commons with and for Disabled Citizens and their Unpaid Carers","authors":"P. Glick, Clara Crivellaro","doi":"10.1145/3544548.3580934","DOIUrl":"https://doi.org/10.1145/3544548.3580934","url":null,"abstract":"Supporting disabled populations and their unpaid carers through designing sustainable healthcare interventions and infrastructures, is an important, yet challenging, area in HCI research. We report on a collaboration with 23 disabled citizens, unpaid carers, and a care organisation, wishing to co-develop digital responses to challenges they face in the management of self-directed care budgets. We describe how leveraging participatory methods, including asynchronous and remote engagements, enabled the co-creation of a sustainable digital common-pool resource, used by over 5,000 people worldwide. This study contributes novel configurations of methods and tools for co-design with ‘seldom heard’ populations. Demonstrating how these enabled the collective articulation of what constitutes trust, governance, and responsibility, in the design of a digital commons, “MyCareBudget”, offering peer-produced care documents for use by disabled citizens and their unpaid carers. We discuss implications for HCI interested in co-designing sustainable socio-technical interventions with underserved and marginalised populations, in healthcare settings.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757893","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}
Fitts’ law is a behavioral model, used to design protocols and analyze data from pointing experiments. These are usually conducted in HCI to evaluate input performance. We recently proposed an alternative method to characterize input performance, called the method of PVPs in 1D, based on 1) a dual-minimization protocol, and 2) an analysis of the variability of entire trajectories. We extend the method in 2D; our contributions include new metrics, a new protocol, and a Python library. We also present the results of a controlled experiment where the new method is validated using three devices (mouse, touchpad, controller): effect sizes in the 2D case replicate those previously found. We also propose a comparison between Fitts’ law and our novel evaluation: the method of PVPs provides more information than Fitts’ law, and can predict its parameters. We discuss how this new method may relieve open problems of Fitts’ law.
{"title":"Positional Variance Profiles (PVPs): A New Take on the Speed-Accuracy Trade-off","authors":"Julien Gori, Quentin Bellut","doi":"10.1145/3544548.3581071","DOIUrl":"https://doi.org/10.1145/3544548.3581071","url":null,"abstract":"Fitts’ law is a behavioral model, used to design protocols and analyze data from pointing experiments. These are usually conducted in HCI to evaluate input performance. We recently proposed an alternative method to characterize input performance, called the method of PVPs in 1D, based on 1) a dual-minimization protocol, and 2) an analysis of the variability of entire trajectories. We extend the method in 2D; our contributions include new metrics, a new protocol, and a Python library. We also present the results of a controlled experiment where the new method is validated using three devices (mouse, touchpad, controller): effect sizes in the 2D case replicate those previously found. We also propose a comparison between Fitts’ law and our novel evaluation: the method of PVPs provides more information than Fitts’ law, and can predict its parameters. We discuss how this new method may relieve open problems of Fitts’ law.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"321 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123165525","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}
Information access is one of the most significant challenges faced by d/Deaf signers due to a lack of sign language information. Given the challenges in machine-driven solutions, we seek to understand how d/Deaf communities can support the growth of sign language content. Based on interviews with 12 d/Deaf people in China, we found that d/Deaf videos, i.e., sign language videos created by and for d/Deaf people, can be crucial information sources and educational materials. Combining content analysis of 360 d/Deaf videos to better understand this type of video, we show how d/Deaf communities co-create information accessibility through collaboration in content creation online. We uncover two major challenges that creators need to address, e.g., difficulties in interpretation and inconsistent content qualities. We propose potential design opportunities and future research directions to support d/Deaf people’s needs for sign language content through collaboration within d/Deaf communities.
{"title":"Community-Driven Information Accessibility: Online Sign Language Content Creation within d/Deaf Communities","authors":"Xinru Tang, Xiang Chang, Nuoran Chen, Yingjie (MaoMao) Ni, Ray Lc, Xin Tong","doi":"10.1145/3544548.3581286","DOIUrl":"https://doi.org/10.1145/3544548.3581286","url":null,"abstract":"Information access is one of the most significant challenges faced by d/Deaf signers due to a lack of sign language information. Given the challenges in machine-driven solutions, we seek to understand how d/Deaf communities can support the growth of sign language content. Based on interviews with 12 d/Deaf people in China, we found that d/Deaf videos, i.e., sign language videos created by and for d/Deaf people, can be crucial information sources and educational materials. Combining content analysis of 360 d/Deaf videos to better understand this type of video, we show how d/Deaf communities co-create information accessibility through collaboration in content creation online. We uncover two major challenges that creators need to address, e.g., difficulties in interpretation and inconsistent content qualities. We propose potential design opportunities and future research directions to support d/Deaf people’s needs for sign language content through collaboration within d/Deaf communities.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123260913","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}
Arnav Verma, Luiz Morais, Pierre Dragicevic, Fanny Chevalier
Studies on human decision-making focused on humanitarian aid have found that cognitive biases can hinder the fair allocation of resources. However, few HCI and Information Visualization studies have explored ways to overcome those cognitive biases. This work investigates whether the design of interactive resource allocation tools can help to promote allocation fairness. We specifically study the effect of presentation format (using text or visualization) and a specific framing strategy (showing resources allocated to groups or individuals). In our three crowdsourced experiments, we provided different tool designs to split money between two fictional programs that benefit two distinct communities. Our main finding indicates that individual-framed visualizations and text may be able to curb unfair allocations caused by group-framed designs. This work opens new perspectives that can motivate research on how interactive tools and visualizations can be engineered to combat cognitive biases that lead to inequitable decisions.
{"title":"Designing Resource Allocation Tools to Promote Fair Allocation: Do Visualization and Information Framing Matter?","authors":"Arnav Verma, Luiz Morais, Pierre Dragicevic, Fanny Chevalier","doi":"10.1145/3544548.3580739","DOIUrl":"https://doi.org/10.1145/3544548.3580739","url":null,"abstract":"Studies on human decision-making focused on humanitarian aid have found that cognitive biases can hinder the fair allocation of resources. However, few HCI and Information Visualization studies have explored ways to overcome those cognitive biases. This work investigates whether the design of interactive resource allocation tools can help to promote allocation fairness. We specifically study the effect of presentation format (using text or visualization) and a specific framing strategy (showing resources allocated to groups or individuals). In our three crowdsourced experiments, we provided different tool designs to split money between two fictional programs that benefit two distinct communities. Our main finding indicates that individual-framed visualizations and text may be able to curb unfair allocations caused by group-framed designs. This work opens new perspectives that can motivate research on how interactive tools and visualizations can be engineered to combat cognitive biases that lead to inequitable decisions.","PeriodicalId":314098,"journal":{"name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126431833","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：