Around-device interaction lets people use their phones without having to pick them up or reach out and touch them. This allows interaction when touch may not be available; for example, users could gesture to interact with their phones while cooking, avoiding touching the screen with messy hands. Well-designed feedback helps users overcome uncertainty during gesture interaction, however giving effective feedback from small devices can be a challenge and detailed visual feedback will not always be suitable. My thesis research looks at how other types of feedback may be used effectively during around-device interaction to help users.
{"title":"Effective multimodal feedback for around-device interfaces","authors":"Euan Freeman","doi":"10.1145/2628363.2634264","DOIUrl":"https://doi.org/10.1145/2628363.2634264","url":null,"abstract":"Around-device interaction lets people use their phones without having to pick them up or reach out and touch them. This allows interaction when touch may not be available; for example, users could gesture to interact with their phones while cooking, avoiding touching the screen with messy hands. Well-designed feedback helps users overcome uncertainty during gesture interaction, however giving effective feedback from small devices can be a challenge and detailed visual feedback will not always be suitable. My thesis research looks at how other types of feedback may be used effectively during around-device interaction to help users.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"35 1","pages":"399-400"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75091113","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}
R. Xiao, G. Lew, James Marsanico, Divya Hariharan, S. Hudson, Chris Harrison
The simple fact that human fingers are large and mobile devices are small has led to the perennial issue of limited surface area for touch-based interactive tasks. In response, we have developed Toffee, a sensing approach that extends touch interaction beyond the small confines of a mobile device and onto ad hoc adjacent surfaces, most notably tabletops. This is achieved using a novel application of acoustic time differences of arrival (TDOA) correlation. Previous time-of-arrival based systems have required semi-permanent instrumentation of the surface and were too large for use in mobile devices. Our approach requires only a hard tabletop and gravity -- the latter acoustically couples mobile devices to surfaces. We conducted an evaluation, which shows that Toffee can accurately resolve the bearings of touch events (mean error of 4.3° with a laptop prototype). This enables radial interactions in an area many times larger than a mobile device; for example, virtual buttons that lie above, below and to the left and right.
{"title":"Toffee: enabling ad hoc, around-device interaction with acoustic time-of-arrival correlation","authors":"R. Xiao, G. Lew, James Marsanico, Divya Hariharan, S. Hudson, Chris Harrison","doi":"10.1145/2628363.2628383","DOIUrl":"https://doi.org/10.1145/2628363.2628383","url":null,"abstract":"The simple fact that human fingers are large and mobile devices are small has led to the perennial issue of limited surface area for touch-based interactive tasks. In response, we have developed Toffee, a sensing approach that extends touch interaction beyond the small confines of a mobile device and onto ad hoc adjacent surfaces, most notably tabletops. This is achieved using a novel application of acoustic time differences of arrival (TDOA) correlation. Previous time-of-arrival based systems have required semi-permanent instrumentation of the surface and were too large for use in mobile devices. Our approach requires only a hard tabletop and gravity -- the latter acoustically couples mobile devices to surfaces. We conducted an evaluation, which shows that Toffee can accurately resolve the bearings of touch events (mean error of 4.3° with a laptop prototype). This enables radial interactions in an area many times larger than a mobile device; for example, virtual buttons that lie above, below and to the left and right.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"10 1","pages":"67-76"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81916322","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}
The thumb and the fingers have different flexibility, and thus, gestures performed on the back of a held tablet are suggested to be different from ones performed on the touchscreen with the thumb of grasping hands. APIs for back-of-device gesture detection should consider that difference. In a user study, we recorded vectors for the four most common touch gestures. We found that drag, swipe, and press gestures are significantly differently when executed on the back versus on the front side of a held tablet. Corresponding values are provided that may be used to define gesture detection thresholds for back-of-tablet interaction.
{"title":"Ergonomic characteristics of gestures for front- and back-of-tablets interaction with grasping hands","authors":"Katrin Wolf, R. Schleicher, M. Rohs","doi":"10.1145/2628363.2634214","DOIUrl":"https://doi.org/10.1145/2628363.2634214","url":null,"abstract":"The thumb and the fingers have different flexibility, and thus, gestures performed on the back of a held tablet are suggested to be different from ones performed on the touchscreen with the thumb of grasping hands. APIs for back-of-device gesture detection should consider that difference. In a user study, we recorded vectors for the four most common touch gestures. We found that drag, swipe, and press gestures are significantly differently when executed on the back versus on the front side of a held tablet. Corresponding values are provided that may be used to define gesture detection thresholds for back-of-tablet interaction.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"40 1","pages":"453-458"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75603992","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}
A large body of mobile phone sharing research focuses on creating new interaction techniques for sharing, and considers the usability of such applications and features whilst ignoring the context of their use, their adoption or appropriation. Therefore it is not known whether these technologies are used in practice or whether they really meet people's sharing needs. The aim of this research was to understand current real-world user sharing practices around mobile smart phones through the use of a diary study with 63 participants. We focused on close proximity sharing and discovered that new technologies to support this kind of sharing, for example bumping handsets together to exchange files, are not being widely used. More than half of all sharing via phones in this sample involved only telling, showing or passing the phone, though this often triggered further sharing. Possible explanations for this and their implications are discussed.
{"title":"\"People don't bump\": sharing around mobile phones in close proximity","authors":"Afshan Kirmani, Rowanne Fleck","doi":"10.1145/2628363.2634231","DOIUrl":"https://doi.org/10.1145/2628363.2634231","url":null,"abstract":"A large body of mobile phone sharing research focuses on creating new interaction techniques for sharing, and considers the usability of such applications and features whilst ignoring the context of their use, their adoption or appropriation. Therefore it is not known whether these technologies are used in practice or whether they really meet people's sharing needs. The aim of this research was to understand current real-world user sharing practices around mobile smart phones through the use of a diary study with 63 participants. We focused on close proximity sharing and discovered that new technologies to support this kind of sharing, for example bumping handsets together to exchange files, are not being widely used. More than half of all sharing via phones in this sample involved only telling, showing or passing the phone, though this often triggered further sharing. Possible explanations for this and their implications are discussed.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"17 1","pages":"549-554"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75122482","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}
Karel Vandenbroucke, Denzil Ferreira, Jorge Gonçalves, V. Kostakos, K. Moor
In an increasingly connected world, users access personal or shared data, stored "in the cloud" (e.g., Dropbox, Skydrive, iCloud) with multiple devices. Despite the popularity of cloud storage services, little work has focused on investigating cloud storage users' Quality of Experience (QoE), in particular on mobile devices. Moreover, it is not clear how users' context might affect QoE. We conducted an online survey with 349 cloud service users to gain insight into their usage and affordances. In a 2-week follow-up study, we monitored mobile cloud service usage on tablets and smartphones, in real-time using a mobile-based Experience Sampling Method (ESM) questionnaire. We collected 156 responses on in-situ context of use for Dropbox on mobile devices. We provide insights for future QoE-aware cloud services by highlighting the most important mobile contextual factors (e.g., connectivity, location, social, device), and how they affect users' experiences while using such services on their mobile devices.
{"title":"Mobile cloud storage: a contextual experience","authors":"Karel Vandenbroucke, Denzil Ferreira, Jorge Gonçalves, V. Kostakos, K. Moor","doi":"10.1145/2628363.2628386","DOIUrl":"https://doi.org/10.1145/2628363.2628386","url":null,"abstract":"In an increasingly connected world, users access personal or shared data, stored \"in the cloud\" (e.g., Dropbox, Skydrive, iCloud) with multiple devices. Despite the popularity of cloud storage services, little work has focused on investigating cloud storage users' Quality of Experience (QoE), in particular on mobile devices. Moreover, it is not clear how users' context might affect QoE. We conducted an online survey with 349 cloud service users to gain insight into their usage and affordances. In a 2-week follow-up study, we monitored mobile cloud service usage on tablets and smartphones, in real-time using a mobile-based Experience Sampling Method (ESM) questionnaire. We collected 156 responses on in-situ context of use for Dropbox on mobile devices. We provide insights for future QoE-aware cloud services by highlighting the most important mobile contextual factors (e.g., connectivity, location, social, device), and how they affect users' experiences while using such services on their mobile devices.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"1 1","pages":"101-110"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73388136","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}
We have developed an application called JuxtaPinch that allows users to share photos on multiple devices, i.e. mobile phones and tablets, while being collocated. JuxtaPinch employs simple and intuitive interaction techniques, e.g. pinching to connect devices, and it enables flexible physical positioning of devices and supports partial photo viewing. JuxtaPinch further enables users to use their own devices and access photos stored on own devices. In the Interactivity session, audience members can explore and view photos with friends and colleagues using different devices and experience defamiliarization and playful interaction with the photos -- aspects that we have uncovered during lab and field studies of JuxtaPinch.
{"title":"JuxtaPinch: an application for collocated multi-device photo sharing","authors":"H. S. Nielsen, M. Olsen, M. Skov, J. Kjeldskov","doi":"10.1145/2628363.2633569","DOIUrl":"https://doi.org/10.1145/2628363.2633569","url":null,"abstract":"We have developed an application called JuxtaPinch that allows users to share photos on multiple devices, i.e. mobile phones and tablets, while being collocated. JuxtaPinch employs simple and intuitive interaction techniques, e.g. pinching to connect devices, and it enables flexible physical positioning of devices and supports partial photo viewing. JuxtaPinch further enables users to use their own devices and access photos stored on own devices. In the Interactivity session, audience members can explore and view photos with friends and colleagues using different devices and experience defamiliarization and playful interaction with the photos -- aspects that we have uncovered during lab and field studies of JuxtaPinch.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"14 1","pages":"417-420"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78452489","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}
Collaboration between users of a system is often a crucial factor for reaching given goals in an effective and efficient way. However, in many application domains, the current systems do not sufficiently support collaborative work (sometimes they even don't support it at all). One good example is geographical information systems (GIS), that usually only follow an one user at one time approach. In this paper, we present the development of a scalable Multi-user Geographical Information System (MuGIS). With MuGIS it is now possible to integrate large display environments with mobile smart devices for remote control. The system is deployed as a client-server architecture. It uses the NASA World Wind Java framework and SOAP web services for communication. On the client side, all common mobile smart devices are supported. The underlying concept provides different user roles and multi-user identification.
系统用户之间的协作通常是以有效和高效的方式达到给定目标的关键因素。然而，在许多应用领域中，当前的系统不能充分支持协作工作(有时甚至根本不支持)。一个很好的例子是地理信息系统(GIS)，它通常只遵循一次一个用户的方法。在本文中，我们提出了可扩展的多用户地理信息系统(MuGIS)的开发。有了MuGIS，现在可以将大型显示环境与移动智能设备集成在一起进行远程控制。系统采用客户机-服务器架构进行部署。它使用NASA World Wind Java框架和SOAP web服务进行通信。在客户端，支持所有常见的移动智能设备。底层概念提供了不同的用户角色和多用户标识。
{"title":"MuGIS multi-user geographical information system","authors":"S. Schöffel, Johannes Schwank, A. Ebert","doi":"10.1145/2628363.2634219","DOIUrl":"https://doi.org/10.1145/2628363.2634219","url":null,"abstract":"Collaboration between users of a system is often a crucial factor for reaching given goals in an effective and efficient way. However, in many application domains, the current systems do not sufficiently support collaborative work (sometimes they even don't support it at all). One good example is geographical information systems (GIS), that usually only follow an one user at one time approach. In this paper, we present the development of a scalable Multi-user Geographical Information System (MuGIS). With MuGIS it is now possible to integrate large display environments with mobile smart devices for remote control. The system is deployed as a client-server architecture. It uses the NASA World Wind Java framework and SOAP web services for communication. On the client side, all common mobile smart devices are supported. The underlying concept provides different user roles and multi-user identification.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"21 1","pages":"477-482"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78479739","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}
This tutorial explores the possibility of using touchscreen-based mobile devices as active tangibles on an interactive tabletop surface. The tutorial starts with an open discussion about various aspects of tangible interaction, including an overview of different approaches and design principles. It then guides participants through the design and development of innovative interaction techniques, where mobile phones are used as active tangibles on a shared tabletop display. The intent is to encourage the mobile HCI community to further explore the possibility of using everyday devices such as mobile phones as tangibles.
{"title":"Mobile-based tangible interaction techniques for shared displays","authors":"Ali Mazalek, A. Arif","doi":"10.1145/2628363.2645668","DOIUrl":"https://doi.org/10.1145/2628363.2645668","url":null,"abstract":"This tutorial explores the possibility of using touchscreen-based mobile devices as active tangibles on an interactive tabletop surface. The tutorial starts with an open discussion about various aspects of tangible interaction, including an overview of different approaches and design principles. It then guides participants through the design and development of innovative interaction techniques, where mobile phones are used as active tangibles on a shared tabletop display. The intent is to encourage the mobile HCI community to further explore the possibility of using everyday devices such as mobile phones as tangibles.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"84 3","pages":"561-562"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91407049","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}
Identifying intentions of users when they launch an application on their smartphone, and understanding which tasks they actually execute, is a key problem in mobile usability analysis. First, knowing which tasks users actually execute is required for calculating common usability metrics such as task efficiency, error rates and effectiveness. Second, understanding how users perform these tasks is important for developers in order to validate designed interaction sequences for tasks (e.g. sequential steps required to successfully perform and complete a task). In this paper, we describe a novel approach for automatically extracting and grouping interaction sequences from users, assigning them to predefined tasks (e.g. writing an email) and visualising them in an intuitive way. Thus, we are able to find out if the designer's intention of how users should perform designed tasks, and how they actually execute them in the field, matches, and where it differs. This allows us to figure out if users find alternate ways of performing certain tasks, which contributes to the application design process. Moreover, if the users' perception of tasks differs from the designer's intention, we lay the foundation for recognising issues users may have while executing them.
{"title":"Mobile interaction analysis: towards a novel concept for interaction sequence mining","authors":"Florian Lettner, C. Grossauer, Clemens Holzmann","doi":"10.1145/2628363.2628384","DOIUrl":"https://doi.org/10.1145/2628363.2628384","url":null,"abstract":"Identifying intentions of users when they launch an application on their smartphone, and understanding which tasks they actually execute, is a key problem in mobile usability analysis. First, knowing which tasks users actually execute is required for calculating common usability metrics such as task efficiency, error rates and effectiveness. Second, understanding how users perform these tasks is important for developers in order to validate designed interaction sequences for tasks (e.g. sequential steps required to successfully perform and complete a task). In this paper, we describe a novel approach for automatically extracting and grouping interaction sequences from users, assigning them to predefined tasks (e.g. writing an email) and visualising them in an intuitive way. Thus, we are able to find out if the designer's intention of how users should perform designed tasks, and how they actually execute them in the field, matches, and where it differs. This allows us to figure out if users find alternate ways of performing certain tasks, which contributes to the application design process. Moreover, if the users' perception of tasks differs from the designer's intention, we lay the foundation for recognising issues users may have while executing them.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"79 1","pages":"359-368"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83800856","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}
Mobile audio augmented reality systems can be used in a series of applications, e.g., as a navigational aid for visually impaired or as audio guide in museums. The implementation of such systems usually relies on head orientation data, requiring additional hardware in form of a digital compass in the headphones. As an alternative we propose AudioTorch, a system that turns a smartphone into a virtual directional microphone. This metaphor, where users move the device to detect virtual sound sources, allows quick orientation and easy discrimination between proximate sources, even with simplified rendering algorithms. We compare the navigation performance of head orientation measurement to AudioTorch. A lab study with 18 users showed the rate of correctly recognized sources to be significantly higher with AudioTorch than with head-tracking, while task completion times did not differ significantly. The presence in the virtual environment received similar ratings for both conditions.
{"title":"AudioTorch: using a smartphone as directional microphone in virtual audio spaces","authors":"Florian Heller, Jan O. Borchers","doi":"10.1145/2628363.2634220","DOIUrl":"https://doi.org/10.1145/2628363.2634220","url":null,"abstract":"Mobile audio augmented reality systems can be used in a series of applications, e.g., as a navigational aid for visually impaired or as audio guide in museums. The implementation of such systems usually relies on head orientation data, requiring additional hardware in form of a digital compass in the headphones. As an alternative we propose AudioTorch, a system that turns a smartphone into a virtual directional microphone. This metaphor, where users move the device to detect virtual sound sources, allows quick orientation and easy discrimination between proximate sources, even with simplified rendering algorithms. We compare the navigation performance of head orientation measurement to AudioTorch. A lab study with 18 users showed the rate of correctly recognized sources to be significantly higher with AudioTorch than with head-tracking, while task completion times did not differ significantly. The presence in the virtual environment received similar ratings for both conditions.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"160 1","pages":"483-488"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74269768","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}
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