Variable Design Study in Human-Computer Interaction Experiment - A Case Study of Eye Tracking Technology

Author(s):  
Jing-Song Huang ◽  
Zhi-Wei Feng ◽  
Jun Wu ◽  
Wen-Min Han ◽  
Jian Gao
2021 ◽  
Vol 28 (5) ◽  
pp. 1-29
Author(s):  
Amanda Lazar ◽  
Ben Jelen ◽  
Alisha Pradhan ◽  
Katie A. Siek

Researchers in Human–Computer Interaction (HCI) have long developed technologies for older adults. Recently, researchers are engaging in critical reflections of these approaches. IoT for aging in place is one area around which these conflicting discourses have converged, likely in part driven by government and industry interest. This article introduces diffractive analysis as an approach that examines difference to yield new empirical understandings about our methods and the topics we study. We constructed three analyses of a dataset collected at an IoT design workshop and then conducted a diffractive analysis. We present themes from this analysis regarding the ways that participants are inscribed in our research, considerations related to transferability and novelty between work centered on older adults and other work, and insights about methodologies. Our discussion contributes implications for researchers to form teams and account for their roles in research, as well as recommendations how diffractive analysis can support other research agendas.


Author(s):  
Robert J. K. Jacob

The problem of human-computer interaction can be viewed as two powerful information processors (human and computer) attempting to communicate with each other via a narrow-bandwidth, highly constrained interface (Tufte, 1989). To address it, we seek faster, more natural, and more convenient means for users and computers to exchange information. The user’s side is constrained by the nature of human communication organs and abilities; the computer’s is constrained only by input/output devices and interaction techniques that we can invent. Current technology has been stronger in the computer-to-user direction than the user-to-computer, hence today’s user-computer dialogues are rather one-sided, with the bandwidth from the computer to the user far greater than that from user to computer. Using eye movements as a user-to-computer communication medium can help redress this imbalance. This chapter describes the relevant characteristics of the human eye, eye-tracking technology, how to design interaction techniques that incorporate eye movements into the user-computer dialogue in a convenient and natural way, and the relationship between eye-movement interfaces and virtual environments. As with other areas of research and design in human-computer interaction, it is helpful to build on the equipment and skills humans have acquired through evolution and experience and search for ways to apply them to communicating with a computer. Direct manipulation interfaces have enjoyed great success largely because they draw on analogies to existing human skills (pointing, grabbing, moving objects in space), rather than trained behaviors. Similarly, we try to make use of natural eye movements in designing interaction techniques for the eye. Because eye movements are so different from conventional computer inputs, our overall approach in designing interaction techniques is, wherever possible, to obtain information from a user’s natural eye movements while viewing the screen, rather than requiring the user to make specific trained eye movements to actuate the system. This requires careful attention to issues of human design, as will any successful work in virtual environments. The goal is for human-computer interaction to start with studies of the characteristics of human communication channels and skills and then develop devices, interaction techniques, and interfaces that communicate effectively to and from those channels.


Author(s):  
Diana Pérez-Marín ◽  
Ismael Pascual-Nieto

According to User-Centered Design, computer interactive systems should be implemented taking into account the users’ preferences. However, in some cases, it is not easy to apply conventional Human-Computer interaction evaluation techniques to identify the users’ needs and improve the user-system interaction. Therefore, this chapter proposes a procedure to model the interaction behaviour from the analysis of conversational agent dialog logs. A case study in which the procedure has been applied to model the behaviour of 20 children when interacting with multiple personality Pedagogic Conversational Agents is described as an illustrative sample of the goodness and practical application of the procedure.


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