Crowdsourcing vs Laboratory-Style Social Acceptability Studies?

Alallah, Fouad; Neshati, Ali; Sheibani, Nima; Sakamoto, Yumiko; Bunt, Andrea; Irani, Pourang; Hasan, Khalad

doi:10.1145/3173574.3173884

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…We observed user behavior in line with all six of the coupling styles (fig. 3) described in the original study [34], supporting effect (1). We also did not observe any behavior outside of these styles.…”

Section: Resultssupporting

confidence: 76%

“…Crowdsourcing HCI user studies using platforms such as Mechanical Turk is now commonplace. Existing literature supports this method's validity and usefulness [1,4,6,12,24,25,29]. E.g., Heer & Bostock [13] successfully replicated Cleveland & McGill's in-lab graphical perception studies using Mechanical Turk [9].…”

Section: Related Workmentioning

confidence: 86%

“…1.4 0.8 6.6 1.4 1.9 2.2 (f) End side 5.5 3.9 7.9 8.2 2.7 8.4 (g) Opposite sides 0.8 1.7 6.7 2.4 0 2.5 Figure 5: Select screenshots taken in VRChat during the experiment. 1 One participant annotating and counting, while the other works independently on their sub-problem. 2 Participants exhibiting typical thinking mannerisms (hip holding, foot tapping, hand on face) while checking their paths.…”

Section: Conducting Remote Studies Via Social Vrmentioning

confidence: 99%

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Remote and Collaborative Virtual Reality Experiments via Social VR Platforms

Saffo

Bartolomeo

Yıldırım

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Figure 1: Depiction of the two user studies we replicated using VRChat, a social VR platform. The darker robots represent the avatars of the participants. The lighter robots represent the avatars of the researchers, observing the participants and collecting data. Left: In quantitative Study 1 -extending Fitts' Law in 3D VR [8] -a participant selects a target by moving the cursor to intersect it. Right: In qualitative Study 2 -a trial from the tabletop study from Tang et al. [34] -two participants collaborate to find the best path between two nodes in a network.

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Section: Resultssupporting

confidence: 76%

Section: Related Workmentioning

confidence: 86%

Section: Conducting Remote Studies Via Social Vrmentioning

confidence: 99%

See 1 more Smart Citation

Remote and Collaborative Virtual Reality Experiments via Social VR Platforms

Saffo

Bartolomeo

Yıldırım

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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“…41 (24% of 170) used a stroboscopic effect to represent a time progression. This little number can be explained 3 This is unsurprising given that illustrations for patents must follow the rules mentioned section 2.2.5. Yet, we will discuss the strategies used for patents in section 4 as it requires better drawing and figure design skills to produce a stroboscopic effect.…”

Section: A Taxonomy Overall Statisticsmentioning

confidence: 99%

“…We analysed the global tendencies of codes within the dataset. We chose to exclude patent figures from the analysis since they seem to always use the same codes 3 . In the end, we analysed the codes applied to exactly 594 figures coming from the proceedings part of our dataset.…”

Section: A Taxonomy Overall Statisticsmentioning

confidence: 99%

Interaction Illustration Taxonomy: Classification of Styles and Techniques for Visually Representing Interaction Scenarios

Antoine

Malacria

Marquardt

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Static illustrations are ubiquitous means to represent interaction scenarios. Across papers and reports, these visuals demonstrate people's use of devices, explain systems, or show design spaces. Creating such figures is challenging, and very little is known about the overarching strategies for visually representing interaction scenarios. To mitigate this task, we contribute a unified taxonomy of design elements that compose such figures. In particular, we provide a detailed classification of Structural and Interaction strategies, such as composition, visual techniques, dynamics, representation of users, and many others -all in context of the type of scenarios. This taxonomy can inform researchers' choices when creating new figures, by providing a concise synthesis of visual strategies, and revealing approaches they were not aware of before. Furthermore, to support the community for creating further taxonomies, we also provide three open-source software facilitating the coding process and visual exploration of the coding scheme. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Visualization theory, concepts and paradigms.

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#SociallyAcceptableHCI: Social Acceptability of Emerging Technologies and Novel Interaction Paradigms

Koelle

George

Schwind

et al. 2019

Human-Computer Interaction – INTERACT 2019

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The spread of information and communication technologies (ICTs) in all aspects of our lives increases the range and scale of potential issues with social acceptance. In the HCI community there is a growing interest and recognition of social acceptability issues with emerging technologies and novel interaction paradigms. This workshop builds on the success of the CHI 2018 workshop on social acceptability by bringing together academics and practitioners to discuss what social acceptance and acceptability mean in the context of various emerging technologies and modern human-computer interaction. We aim to bring the concept of social acceptability in line with the current technology landscape, as well as to identify relevant research steps for making it more useful, actionable and researchable with well-operationalized metrics. The intended outcome of the workshop is two-fold: first, we will continue the efforts to provide an actionable conceptualization of social acceptability in HCI. Second, we will start a collection of best practices and practical examples to be brought together as a continuously updated "case book" of social acceptability in HCI.

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Crowdsourcing vs Laboratory-Style Social Acceptability Studies?

Cited by 14 publications

References 31 publications

Remote and Collaborative Virtual Reality Experiments via Social VR Platforms

Remote and Collaborative Virtual Reality Experiments via Social VR Platforms

Interaction Illustration Taxonomy: Classification of Styles and Techniques for Visually Representing Interaction Scenarios

#SociallyAcceptableHCI: Social Acceptability of Emerging Technologies and Novel Interaction Paradigms

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