How Relevant is Hick's Law for HCI?

Liu, Wanyu; Gori, Julien; Rioul, Olivier; Beaudouin-Lafon, Michel; Guiard, Yves

doi:10.1145/3313831.3376878

Cited by 10 publications

(5 citation statements)

References 46 publications

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“…Infographics created using this framework should reduce cognitive burden by utilizing straightforward imagery, little text, and a unified design aesthetic. The Hick's Law framework [64] is built on the idea that the longer it takes a viewer to decide, the more alternatives or elements there are in a design. In order to reduce decisionmaking time and increase understanding, infographics created using this framework ought to contain a minimal number of elements, such as colors, typefaces, and shapes.…”

Section: A Infographics Developmental Frameworkmentioning

confidence: 99%

Infographics in Educational Settings: A Literature Review

Bhat,

Alyahya

2024

IEEE Access

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Infographics are visual representations of data that utilize various graphic elements, including pie charts, bar graphs, line graphs, and histograms. Educators and designers can maximize the potential of infographics as powerful educational tools by carefully addressing challenges and capitalizing on emerging technologies. However, current education systems showcase the need for development guidelines and the best practices targeted at designing and developing infographics while exploring the major economic and social impacts of infographics on education. This study examines the concept and role of infographics in education, methodologies, trends, and obstacles. It evaluates potential economic implications and gives insights to design and development experts. The study is based on a scoping literature review methodology, uncovering the conceptual background and the role of infographics. The study emphasizes the unique functions of infographics in data visualization for educational purposes and investigates the current trends and practices in infographics creation. The key challenges associated with the use of infographics are also discussed. Furthermore, the study attempts to identify the cutting-edge frameworks for infographic creation and development while evaluating their economic implications for the role of global education. Finally, the potential recommendations for creating successful infographics while focusing on professional design and development are also covered. The guided literature review will be vital for understanding and using infographics in education.INDEX TERMS Data visualization; design; digital tools and platforms; educational technology; frameworks; infographics; learning outcomes; visual communication.

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Section: A Infographics Developmental Frameworkmentioning

confidence: 99%

Infographics in Educational Settings: A Literature Review

Bhat,

Alyahya

2024

IEEE Access

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“…[10,32]), but also early on in HCI [23] wherein RT has become a frequent measure of interaction technique performance (see e.g. [13,17,22,25] for recent examples). Interaction interferences involve a specific type of reaction time, sometimes called "Stop-Signal Reaction Time" (SSRT), in which the stimulus calls for an absence of reaction, or for the inhibition of an already planned reaction.…”

Section: Interferences From the System's Perspectivementioning

confidence: 99%

“…We gathered 30 relevant examples of interaction interferences from the 25 remaining respondents (8 females, 16 males, 1 non binary, ages 20 to 55), mostly from Europe (17) and Canada (6). A majority were students (13, either bachelor, master, or PhD) or researchers (7).…”

Section: Participantsmentioning

confidence: 99%

Interaction Interferences

Schmid¹,

Malacria²,

Cockburn

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

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We study interaction interferences, situations where an unexpected change occurs in an interface immediately before the user performs an action, causing the corresponding input to be misinterpreted by the system. For example, a user tries to select an item in a list, but the list is automatically updated immediately before the click, causing the wrong item to be selected. First, we formally define interaction interferences and discuss their causes from behavioral and system-design perspectives. Then, we report the results of a survey examining users' perceptions of the frequency, frustration, and severity of interaction interferences. We also report a controlled exper iment, based on state-of-the-art experimental protocols from neuroscience, that explores the minimum time interval, before clicking, below which participants could not refrain from com pleting their action. Finally, we discuss our findings and their implications for system design, paving the way for future work.

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“…This overwhelms their vision arXiv:2101.05508v1 [cs.MM] 14 Jan 2021 and thus negatively impacts their driving experience. In fact, a driver's decision time increases logarithmically with the number of stimulus or objects [8]. Additionally, limiting the number of objects to the human cognition capacity of about 7±2 items [9] is important.…”

Section: Introductionmentioning

confidence: 99%

AICP: Augmented Informative Cooperative Perception

Zhou

Kortoçi

Yau

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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Connected vehicles, whether equipped with advanced driver-assistance systems or fully autonomous, are currently constrained to visual information in their lines-of-sight. A cooperative perception system among vehicles increases their situational awareness by extending their perception ranges. Existing solutions imply significant network and computation load, as well as high flow of not-always-relevant data received by vehicles. To address such issues, and thus account for the inherently diverse informativeness of the data, we present Augmented Informative Cooperative Perception (AICP) as the first fast-filtering system which optimizes the informativeness of shared data at vehicles. AICP displays the filtered data to the drivers in augmented reality head-up display.To this end, an informativeness maximization problem is presented for vehicles to select a subset of data to display to their drivers. Specifically, we propose (i) a dedicated system design with custom data structure and light-weight routing protocol for convenient data encapsulation, fast interpretation and transmission, and (ii) a comprehensive problem formulation and efficient fitness-based sorting algorithm to select the most valuable data to display at the application layer. We implement a proof-of-concept prototype of AICP with a bandwidth-hungry, latency-constrained real-life augmented reality application. The prototype realizes the informative-optimized cooperative perception with only 12.6 milliseconds additional latency. Next, we test the networking performance of AICP at scale and show that AICP effectively filter out less relevant packets and decreases the channel busy time.

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How Relevant is Hick's Law for HCI?

Cited by 10 publications

References 46 publications

Infographics in Educational Settings: A Literature Review

Infographics in Educational Settings: A Literature Review

Interaction Interferences

AICP: Augmented Informative Cooperative Perception

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