Getting Back To Basics: Bimanual Interaction on Mobile Touch Screen Devices

Young, Bradley W.; Wodehouse, Andrew

doi:10.11159/mhci16.103

Cited by 3 publications

(3 citation statements)

References 18 publications

(10 reference statements)

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“…In particular, people tend to perform more productive activities when a computer is at hand. Having access to mobile phones, however, did not trigger more productive activities, perhaps due to a lack of professional software and a large screen for complex work [e.g., 21,53]. Some of our data supports this.…”

Section: Leisure Activities As the Most Performedsupporting

confidence: 57%

Fragmented Moments, Balanced Choices: How Do People Make Use of Their Waiting Time?

Zheng,

Gao

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Everyone spends some time waiting every day. HCI research has developed tools for boosting productivity while waiting. However, little is known about how people naturally spend their waiting time. We conducted an experience sampling study with 21 working adults who used a mobile app to report their daily waiting time activities over two weeks. The aim of this study is to understand the activities people do while waiting and the effect of situational factors. We found that participants spent about 60% of their waiting time on leisure activities, 20% on productive activities, and 20% on maintenance activities. These choices are sensitive to situational factors, including accessible device, location, and certain routines of the day. Our study complements previous ones by demonstrating that people purpose waiting time for various goals beyond productivity and to maintain work-life balance. Our findings shed light on future empirical research and system design for time management.

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Section: Leisure Activities As the Most Performedsupporting

confidence: 57%

Fragmented Moments, Balanced Choices: How Do People Make Use of Their Waiting Time?

Zheng,

Gao

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“…Each input device, whether a touchscreen or a mouse, offers a variable user experience which may lead to different results for similar actions or tasks [2,3]. Comparative studies between mice and touchscreen found mice more effective [4].…”

Section: Introductionmentioning

confidence: 99%

Touch or click friendly: Towards adaptive user interfaces for complex applications

Hussain,

Khan,

Jadoon

et al. 2024

PLoS ONE

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This study evaluated the usability of a direct manipulation device (touchscreen) vs. indirect manipulation devices (mouse and touchpad) on the selected Microsoft (MS) Word tasks as per ISO-9241-11 standard. MS Word was taken as an example of a complex application. The tasks were evaluated in terms of touch-friendly or click-friendly using efficiency, effectiveness, and satisfaction parameters to propose a customized task menu. The experiment was conducted with fifty-four participants, divided into three MS Word usage-based expertise groups. Each participant performed fifty-six tasks using a mouse, a touchpad, and a touchscreen. To assess task-level usability, individual one-way ANOVAs were performed for each task to gauge both efficiency and effectiveness. It’s worth noting that the touchscreen significantly outperformed other input methods in just one specific task regarding effectiveness. Consequently, an ANCOVA was employed, with task completion time as the independent variable and the number of errors as a covariate, to further investigate effectiveness. A total of 19 (34%) of the total tasks were found to be significantly efficient with a mouse, while 21 (37.5%) were significantly efficient with a touchscreen. Based on the results, a customized menu is recommended for MS Word-like applications that combine actions in touch-friendly tasks and mouse-friendly tasks separately.

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“…(Balagtas-Fernandez et al, 2009). Interface design is further complicated, as mobile phones are used by a wide range of people with different goals anytime in any location (Huang, 2009). This also makes usability an even more important quality attribute of software applications for mobile phones (Treeratanapon, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Usability Score for Mobile Phone Applications Based on Heuristics

Wangenheim

Witt

Borgatto

et al. 2016

International Journal of Mobile Human Computer Interaction

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Mobile phones are becoming the most widespread personal consumer device. Yet, offering mobile access anywhere, anytime for anybody poses new challenges to usability. So far there is little research on how to customize usability heuristics to the specific characteristics of mobile phone applications. Therefore, this article presents a set of tailored usability heuristics based on a systematic literature review. In order to facilitate the usage of these heuristics, the authors design and validate a measurement instrument (checklist) and scale. The checklist has been validated through an empirical study in which the results of 247 heuristic evaluations have been statistically analyzed using Item Response Theory. Based on the results, the measurement items have been calibrated and a standardized measurement scale has been constructed. The results can be used to measure usability of mobile phone applications from early on in the design process, and, thus, facilitate evaluations in a cost-effective way.

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Getting Back To Basics: Bimanual Interaction on Mobile Touch Screen Devices

Cited by 3 publications

References 18 publications

Fragmented Moments, Balanced Choices: How Do People Make Use of Their Waiting Time?

Fragmented Moments, Balanced Choices: How Do People Make Use of Their Waiting Time?

Touch or click friendly: Towards adaptive user interfaces for complex applications

A Usability Score for Mobile Phone Applications Based on Heuristics

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