E. Hornecker, T. Hogan, Uta Hinrichs, Rosa Van Koningsbruggen
Although physical artifacts that represent data have been used for centuries, the research field –known as data physicalization– has only recently gained traction. Compared to data visualization, there is no established vocabulary for analysing and discussing the properties of physicalizations. Through a grounded analysis of examples and literature, we propose a comprehensive design vocabulary, which consist of three separate, but connected parts: ‘explicit variables’, ‘implicit properties’, and ‘consequential aspects’. Explicit variables build on visual variables known from visualization and extend it to account for physicalization’s multi-modal nature. Implicit properties concern elements which are central to the design intention and user experience of physicalizations, yet are not a result of ‘explicit’ encoding strategies. Finally, consequential aspects refer to unintentional effects of design decisions, that influence how a physicalization is experienced. Our work illustrates how physicalizations incorporate opportunities and challenges that are not afforded in other data representations, such as embodiment and ‘imagined touch’. With this, we contribute to generating theory on physicalization. Our design vocabulary can support (1) creators through informing their design processes and highlighting design strategies, (2) educators, and (3) academics and practitioners to analyse existing physicalizations, and reflect on the impact of design decisions on interpretation and experience.
{"title":"A Design Vocabulary for Data Physicalization","authors":"E. Hornecker, T. Hogan, Uta Hinrichs, Rosa Van Koningsbruggen","doi":"10.1145/3617366","DOIUrl":"https://doi.org/10.1145/3617366","url":null,"abstract":"Although physical artifacts that represent data have been used for centuries, the research field –known as data physicalization– has only recently gained traction. Compared to data visualization, there is no established vocabulary for analysing and discussing the properties of physicalizations. Through a grounded analysis of examples and literature, we propose a comprehensive design vocabulary, which consist of three separate, but connected parts: ‘explicit variables’, ‘implicit properties’, and ‘consequential aspects’. Explicit variables build on visual variables known from visualization and extend it to account for physicalization’s multi-modal nature. Implicit properties concern elements which are central to the design intention and user experience of physicalizations, yet are not a result of ‘explicit’ encoding strategies. Finally, consequential aspects refer to unintentional effects of design decisions, that influence how a physicalization is experienced. Our work illustrates how physicalizations incorporate opportunities and challenges that are not afforded in other data representations, such as embodiment and ‘imagined touch’. With this, we contribute to generating theory on physicalization. Our design vocabulary can support (1) creators through informing their design processes and highlighting design strategies, (2) educators, and (3) academics and practitioners to analyse existing physicalizations, and reflect on the impact of design decisions on interpretation and experience.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41744624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Gerber, Alina Stöver, Justin Peschke, Verena Zimmermann
Legal frameworks rely on users to make an informed decision about data collection, e.g., by accepting or declining the use of tracking technologies. In practice, however, users hardly interact with tracking consent notices on a deliberate website per website level, but usually accept or decline optional tracking technologies altogether in a habituated behavior. We explored the potential of three different nudge types (color highlighting, social cue, timer) and default settings to interrupt this auto-response in an experimental between-subject design with 167 participants. We did not find statistically significant differences regarding the buttons clicked. Our results showed that opt-in default settings significantly decrease tracking technology use acceptance rates. These results are a first step towards understanding the effects of different nudging concepts on users’ interaction with tracking consent notices.
{"title":"Don’t accept all and continue: Exploring nudges for more deliberate interaction with tracking consent notices","authors":"N. Gerber, Alina Stöver, Justin Peschke, Verena Zimmermann","doi":"10.1145/3617363","DOIUrl":"https://doi.org/10.1145/3617363","url":null,"abstract":"Legal frameworks rely on users to make an informed decision about data collection, e.g., by accepting or declining the use of tracking technologies. In practice, however, users hardly interact with tracking consent notices on a deliberate website per website level, but usually accept or decline optional tracking technologies altogether in a habituated behavior. We explored the potential of three different nudge types (color highlighting, social cue, timer) and default settings to interrupt this auto-response in an experimental between-subject design with 167 participants. We did not find statistically significant differences regarding the buttons clicked. Our results showed that opt-in default settings significantly decrease tracking technology use acceptance rates. These results are a first step towards understanding the effects of different nudging concepts on users’ interaction with tracking consent notices.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44424107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-25DOI: https://dl.acm.org/doi/10.1145/3610366
Bart P. Knijnenburg, Burcu Bulgurcu
Modern Web browsers provide users with tools to reduce the burden of filling out forms. Despite the widespread adoption of these tools, little is known about how they affect users’ privacy decision-making. This research compares traditional form autocompletion tools with two alternative tools designed for elaboration for this study (“add” and “remove” tools). The results show that the use of traditional form autocompletion tools significantly diminishes users’ deliberate privacy decision-making, while the proposed tools can mitigate these adverse effects, such that users (1) disclose significantly less information and (2) are more likely to assess the alignment between the type of the data requested and the goal of the entity requesting that data (i.e., context specificity). While both proposed tools help users become more deliberate in their disclosure behavior, they prefer the “add” tool over the “remove” tool. Our results show that tools designed for elaboration can nudge users towards protecting their privacy.
{"title":"Designing Alternative Form-Autocompletion Tools to Enhance Privacy Decision Making and Prevent Unintended Disclosure","authors":"Bart P. Knijnenburg, Burcu Bulgurcu","doi":"https://dl.acm.org/doi/10.1145/3610366","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3610366","url":null,"abstract":"<p>Modern Web browsers provide users with tools to reduce the burden of filling out forms. Despite the widespread adoption of these tools, little is known about how they affect users’ privacy decision-making. This research compares traditional form autocompletion tools with two alternative tools designed for elaboration for this study (“add” and “remove” tools). The results show that the use of traditional form autocompletion tools significantly diminishes users’ deliberate privacy decision-making, while the proposed tools can mitigate these adverse effects, such that users (1) disclose significantly less information and (2) are more likely to assess the alignment between the type of the data requested and the goal of the entity requesting that data (i.e., <i>context specificity</i>). While both proposed tools help users become more deliberate in their disclosure behavior, they prefer the “add” tool over the “remove” tool. Our results show that tools designed for elaboration can nudge users towards protecting their privacy.</p>","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"74 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Modern Web browsers provide users with tools to reduce the burden of filling out forms. Despite the widespread adoption of these tools, little is known about how they affect users’ privacy decision-making. This research compares traditional form autocompletion tools with two alternative tools designed for elaboration for this study (“add” and “remove” tools). The results show that the use of traditional form autocompletion tools significantly diminishes users’ deliberate privacy decision-making, while the proposed tools can mitigate these adverse effects, such that users (1) disclose significantly less information and (2) are more likely to assess the alignment between the type of the data requested and the goal of the entity requesting that data (i.e., context specificity). While both proposed tools help users become more deliberate in their disclosure behavior, they prefer the “add” tool over the “remove” tool. Our results show that tools designed for elaboration can nudge users towards protecting their privacy.
{"title":"Designing Alternative Form-Autocompletion Tools to Enhance Privacy Decision Making and Prevent Unintended Disclosure","authors":"Bart P. Knijnenburg, Burcu Bulgurcu","doi":"10.1145/3610366","DOIUrl":"https://doi.org/10.1145/3610366","url":null,"abstract":"Modern Web browsers provide users with tools to reduce the burden of filling out forms. Despite the widespread adoption of these tools, little is known about how they affect users’ privacy decision-making. This research compares traditional form autocompletion tools with two alternative tools designed for elaboration for this study (“add” and “remove” tools). The results show that the use of traditional form autocompletion tools significantly diminishes users’ deliberate privacy decision-making, while the proposed tools can mitigate these adverse effects, such that users (1) disclose significantly less information and (2) are more likely to assess the alignment between the type of the data requested and the goal of the entity requesting that data (i.e., context specificity). While both proposed tools help users become more deliberate in their disclosure behavior, they prefer the “add” tool over the “remove” tool. Our results show that tools designed for elaboration can nudge users towards protecting their privacy.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48187283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kevin Chow, Thomas Fritz, L. Holsti, S. Barbic, Joanna McGrenere
Today’s knowledge workers face cognitively demanding tasks and blurred work-life boundaries amidst rising stress and burnout in the workplace. Holistic approaches to supporting workers, which consider both productivity and well-being, are increasingly important. Taking this holistic approach, we designed an intervention inspired by cognitive behavioural therapy that consists of: (1) using the term “Time Well Spent” (TWS) in place of “productivity”, (2) a mobile self-logging tool for logging activities, feelings, and thoughts at work, and (3) a visualization that guides users to reflect on their data. We ran a 4-week exploratory qualitative comparison in the field with 24 graduate students to examine our Therapy-inspired intervention alongside a classic Baseline intervention. Participants who used our intervention often shifted towards a holistic perspective of their primary working hours, which included an increased consideration of breaks and emotions. No such change was seen by those who used the Baseline intervention.
{"title":"Feeling Stressed and Unproductive? A Field Evaluation of a Therapy-Inspired Digital Intervention for Knowledge Workers","authors":"Kevin Chow, Thomas Fritz, L. Holsti, S. Barbic, Joanna McGrenere","doi":"10.1145/3609330","DOIUrl":"https://doi.org/10.1145/3609330","url":null,"abstract":"Today’s knowledge workers face cognitively demanding tasks and blurred work-life boundaries amidst rising stress and burnout in the workplace. Holistic approaches to supporting workers, which consider both productivity and well-being, are increasingly important. Taking this holistic approach, we designed an intervention inspired by cognitive behavioural therapy that consists of: (1) using the term “Time Well Spent” (TWS) in place of “productivity”, (2) a mobile self-logging tool for logging activities, feelings, and thoughts at work, and (3) a visualization that guides users to reflect on their data. We ran a 4-week exploratory qualitative comparison in the field with 24 graduate students to examine our Therapy-inspired intervention alongside a classic Baseline intervention. Participants who used our intervention often shifted towards a holistic perspective of their primary working hours, which included an increased consideration of breaks and emotions. No such change was seen by those who used the Baseline intervention.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45684748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mare Hirsch, Gabrielle Benabdallah, Jennifer Jacobs, Nadya Peek
Understanding how professionals use digital fabrication in production workflows is critical for future research in digital fabrication technologies. We interviewed thirteen professionals who use digital fabrication for the low-volume manufacturing of commercial products. From these interviews, we describe the workflows used for nine products created with a variety of materials and manufacturing methods. We show how digital fabrication professionals use software development to support physical production, how they rely on multiple partial representations in development, how they develop manufacturing processes, and how machine control is its own design space. We build from these findings to argue that future digital fabrication systems should support the exploration of material and machine behavior alongside geometry, that simulation is insufficient for understanding the design space, and that material constraints and resource management are meaningful design dimensions to support. By observing how professionals learn, we suggest ways digital fabrication systems can scaffold the mastery of new fabrication techniques.
{"title":"Nothing Like Compilation: How Professional Digital Fabrication Workflows Go Beyond Extruding, Milling, and Machines","authors":"Mare Hirsch, Gabrielle Benabdallah, Jennifer Jacobs, Nadya Peek","doi":"10.1145/3609328","DOIUrl":"https://doi.org/10.1145/3609328","url":null,"abstract":"Understanding how professionals use digital fabrication in production workflows is critical for future research in digital fabrication technologies. We interviewed thirteen professionals who use digital fabrication for the low-volume manufacturing of commercial products. From these interviews, we describe the workflows used for nine products created with a variety of materials and manufacturing methods. We show how digital fabrication professionals use software development to support physical production, how they rely on multiple partial representations in development, how they develop manufacturing processes, and how machine control is its own design space. We build from these findings to argue that future digital fabrication systems should support the exploration of material and machine behavior alongside geometry, that simulation is insufficient for understanding the design space, and that material constraints and resource management are meaningful design dimensions to support. By observing how professionals learn, we suggest ways digital fabrication systems can scaffold the mastery of new fabrication techniques.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49461831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While chronic disease afflicts a large Indian population, the technologies used to manage chronic diseases have largely been informed by studies conducted in other sociocultural contexts. To address this gap, we conducted qualitative interviews with 21 patients clinically diagnosed with abnormal blood pressure (BP) living in low-resourced communities of Haryana, Uttarakhand and Uttar Pradesh in India. We found that patients’ trust in the BP ecosystem and social ties plays a significant role in shaping their perceptions of technology and chronic care. Trust in one actor of the ecosystem fosters trust in another, e.g., trust in BP reading depended on the type of device and the person measuring the BP. We also observed nuanced sharing and intermediation of BP devices. Based on our findings, we recommend designs to boost patients’ trust, familiarity, and access to technologies used in BP management and improve their experience of care in low-resource settings in India.
{"title":"”Is it even giving the correct reading or not?”: How Trust and Relationships Mediate Blood Pressure Management in India","authors":"Nimisha Karnatak, Brooke Loughrin, Tiffany Amy Kuo, Odeline Mateu-Silvernail, Indrani Medhi Thies, W. Thies, Mohit Jain","doi":"10.1145/3609327","DOIUrl":"https://doi.org/10.1145/3609327","url":null,"abstract":"While chronic disease afflicts a large Indian population, the technologies used to manage chronic diseases have largely been informed by studies conducted in other sociocultural contexts. To address this gap, we conducted qualitative interviews with 21 patients clinically diagnosed with abnormal blood pressure (BP) living in low-resourced communities of Haryana, Uttarakhand and Uttar Pradesh in India. We found that patients’ trust in the BP ecosystem and social ties plays a significant role in shaping their perceptions of technology and chronic care. Trust in one actor of the ecosystem fosters trust in another, e.g., trust in BP reading depended on the type of device and the person measuring the BP. We also observed nuanced sharing and intermediation of BP devices. Based on our findings, we recommend designs to boost patients’ trust, familiarity, and access to technologies used in BP management and improve their experience of care in low-resource settings in India.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49258101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EcoSanté is a mobile lifestyle intervention that encourages individual behavior change while also helping participants understand the deep connections between daily lifestyle choices and our collective impact on the planet. Informed by research on “small” intervention approaches, we sent participants daily behavioral challenges that demonstrated connections between personal health and environmental impact at large. Through a 20-day mobile intervention study, 139 participants uploaded 1,920 submissions documenting their attempts to engage in these challenges. We found that participants’ self-reported healthy eating behavior and general self-efficacy improved significantly immediately after the intervention. Moreover, 30 days after the intervention, participants’ self-reported eating, exercise, and general self-efficacy all significantly improved compared to the beginning of the study. Participants had a more negative reaction when being asked to come up with their own challenges. Based on quantitative and qualitative findings, we provide implications for future researcher on mobile behavior intervention research.
{"title":"EcoSanté Lifestyle Intervention: Encourage Reflections on the Connections between Health and Environment","authors":"P. Kuo, Michael S. Horn","doi":"10.1145/3609325","DOIUrl":"https://doi.org/10.1145/3609325","url":null,"abstract":"EcoSanté is a mobile lifestyle intervention that encourages individual behavior change while also helping participants understand the deep connections between daily lifestyle choices and our collective impact on the planet. Informed by research on “small” intervention approaches, we sent participants daily behavioral challenges that demonstrated connections between personal health and environmental impact at large. Through a 20-day mobile intervention study, 139 participants uploaded 1,920 submissions documenting their attempts to engage in these challenges. We found that participants’ self-reported healthy eating behavior and general self-efficacy improved significantly immediately after the intervention. Moreover, 30 days after the intervention, participants’ self-reported eating, exercise, and general self-efficacy all significantly improved compared to the beginning of the study. Participants had a more negative reaction when being asked to come up with their own challenges. Based on quantitative and qualitative findings, we provide implications for future researcher on mobile behavior intervention research.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42218606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We explore a range of different metaphors used for Voice User Interfaces (VUIs) by designers, end-users, manufacturers, and researchers using a novel framework derived from semi-structured interviews and a literature review. We focus less on the well-established idea of metaphors as a way for interface designers to help novice users learn how to interact with novel technology, and more on other ways metaphors can be used. We find that metaphors people use are contextually fluid, can change with the mode of conversation, and can reveal differences in how people perceive VUIs compared to other devices. Not all metaphors are helpful, and some may be offensive. Analyzing this broader class of metaphors can help understand, perhaps even predict problems. Metaphor analysis can be a low-cost tool to inspire design creativity and facilitate complex discussions about sociotechnical issues, enabling us to spot potential opportunities and problems in the situated use of technologies.
{"title":"Metaphors in Voice User Interfaces: A Slippery Fish","authors":"Smit Desai, M. Twidale","doi":"10.1145/3609326","DOIUrl":"https://doi.org/10.1145/3609326","url":null,"abstract":"We explore a range of different metaphors used for Voice User Interfaces (VUIs) by designers, end-users, manufacturers, and researchers using a novel framework derived from semi-structured interviews and a literature review. We focus less on the well-established idea of metaphors as a way for interface designers to help novice users learn how to interact with novel technology, and more on other ways metaphors can be used. We find that metaphors people use are contextually fluid, can change with the mode of conversation, and can reveal differences in how people perceive VUIs compared to other devices. Not all metaphors are helpful, and some may be offensive. Analyzing this broader class of metaphors can help understand, perhaps even predict problems. Metaphor analysis can be a low-cost tool to inspire design creativity and facilitate complex discussions about sociotechnical issues, enabling us to spot potential opportunities and problems in the situated use of technologies.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45978271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Extant literature has proposed an important role for trust in moderating people’s willingness to disclose personal information, but there is scant HCI literature that deeply explores the relationship between privacy and trust in apparent privacy paradox circumstances. Attending to this gap, this paper reports a qualitative study examining how people account for continuing to use services that conflict with their stated privacy preferences, and how trust features in these accounts. Our findings undermine the notion that individuals engage in strategic thinking about privacy, raising important questions regarding the explanatory power of the well-known privacy calculus model and its proposed relationship between privacy and trust. Finding evidence of hopeful trust in participants’ accounts, we argue that trust allows people to morally account for their ‘paradoxical’ information disclosure behavior. We propose that effecting greater alignment between people’s privacy attitudes and privacy behavior—or ‘un-paradoxing privacy’—will require greater regulatory assurances of privacy.
{"title":"Un-Paradoxing Privacy: Considering Hopeful Trust","authors":"Bran Knowles, Stacey M. Conchie","doi":"10.1145/3609329","DOIUrl":"https://doi.org/10.1145/3609329","url":null,"abstract":"Extant literature has proposed an important role for trust in moderating people’s willingness to disclose personal information, but there is scant HCI literature that deeply explores the relationship between privacy and trust in apparent privacy paradox circumstances. Attending to this gap, this paper reports a qualitative study examining how people account for continuing to use services that conflict with their stated privacy preferences, and how trust features in these accounts. Our findings undermine the notion that individuals engage in strategic thinking about privacy, raising important questions regarding the explanatory power of the well-known privacy calculus model and its proposed relationship between privacy and trust. Finding evidence of hopeful trust in participants’ accounts, we argue that trust allows people to morally account for their ‘paradoxical’ information disclosure behavior. We propose that effecting greater alignment between people’s privacy attitudes and privacy behavior—or ‘un-paradoxing privacy’—will require greater regulatory assurances of privacy.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41750774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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