Entry-Based versus Selection-Based Interaction Methods

1988 ◽  
Vol 32 (5) ◽  
pp. 284-287 ◽  
Author(s):  
Sharon L. Greene ◽  
John D. Gould ◽  
Stephen J. Boies ◽  
Antonia Meluson ◽  
Marwan Rasamny

Five different human-computer interaction techniques were studied to determine the relative advantages of entry-based and selection-based methods. Gould, Boies, Meluson, Rasamny, and Vosburgh (1988), found that entry techniques aided by either automatic or requested string completion, were superior to various selection-based techniques. This study examines unaided as well as aided entry techniques, and compares them to selection-based methods. Variations in spelling difficulty and database size were studied for their effect on user performance and preferences. The main results were that automatic string completion was the fastest method and selection techniques were better than unaided entry techniques, especially for hard-to-spell words. This was particularly true for computer-inexperienced participants. The database size had its main influence on performance with the selection techniques. In the selection and aided-entry methods there was a strong correlation between the observed keystroke times and the minimum number of keystrokes required by a task.

Author(s):  
Carl Smith

The contribution of this research is to argue that truly creative patterns for interaction within cultural heritage contexts must create situations and concepts that could not have been realised without the intervention of those interaction patterns. New forms of human-computer interaction and therefore new tools for navigation must be designed that unite the strengths, features, and possibilities of both the physical and the virtual space. The human-computer interaction techniques and mixed reality methodologies formulated during this research are intended to enhance spatial cognition while implicitly improving pattern recognition. This research reports on the current state of location-based technology including Mobile Augmented Reality (MAR) and GPS. The focus is on its application for use within cultural heritage as an educational and outreach tool. The key questions and areas to be investigated include: What are the requirements for effective digital intervention within the cultural heritage sector? What are the affordances of mixed and augmented reality? What mobile technology is currently being utilised to explore cultural heritage? What are the key projects? Finally, through a series of case studies designed and implemented by the author, some broad design guidelines are outlined. The chapter concludes with an overview of the main issues to consider when (re)engineering cultural heritage contexts.


2019 ◽  
Vol 17 (4) ◽  
pp. 357-381
Author(s):  
Emek Erdolu

This article serves to the larger quest for increasing our capacities as designers, researchers, and scholars in understanding and developing human-computer interaction in computer-aided design. The central question is on how to ground the related research work in input technologies and interaction techniques for computer-aided design applications, which primarily focus on technology and implementation, within the actual territories of computer-aided design processes. To discuss that, the article first reviews a collection of research studies and projects that present input technologies and interaction techniques developed as alternative or complimentary to the mouse as used in computer-aided design applications. Based on the mode of interaction, these studies and projects are traced in four categories: hand-mediated systems that involve gesture- and touch-based techniques, multimodal systems that combine various ways of interaction including speech-based techniques, experimental systems such as brain-computer interaction and emotive-based techniques, and explorations in virtual reality- and augmented reality-based systems. The article then critically examines the limitations of these alternative systems related to the ways they have been envisioned, designed, and situated in studies as well as of the two existing research bases in human-computer interaction in which these studies could potentially be grounded and improved. The substance of examination is what is conceptualized as “frameworks of thought”—on variables and interrelations as elements of consideration within these efforts. Building upon the existing frameworks of thought, the final part discusses an alternative as a vehicle for incorporating layers of the material cultures of computer-aided design in designing, analyzing, and evaluating computer-aided design-geared input technologies and interaction techniques. The alternative framework offers the potential to help generate richer questions, considerations, and avenues of investigation.


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.


JURTEKSI ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 29-36
Author(s):  
I Komang Setia Buana

Abstrack: Diffable or the word that has  defenition is “ Different Abled People” the term for disabled people. One example of disabled is people who do not have hands, so to write even have to use their feet. Along with the increasingprogress of computer technology, the role of computer technology has also increased for the benefit of humans. One of them is the field of human and computer interaction ( IMK)  or also called Human Computer Interaction ( HCI) . Although computer technology equipment is accurate and reliable, but the interaction model that is carried out is not natural as humans interact with each other, the use of such equipment to operate it requires direct contact between user and the computer. For people who dissabilities who do not have hands, it will be difficult to do so. Computer vision based interaction techniques are candidates for natural interaction techniques. The human head can also be used to replace the function of a mouse that can be used to move the cursor up and down left or right for and to click on the mouse using the blik an eye. Detection using head movements has been widely applied including in the fields of entertainment, education, and security. The camera is a tool used to make head recognition. The camera is used as a sensor to detect head movements. Head motion detection is implemented by using opency phython. Keyword: difabel, head, webcame, opencv pythonAbstrak: Difabel  atau  kata  yang  memiliki  definisi “Different  Abled People” ini adalah sebutan bagi orang cacat. Salah satu contoh kaum difabel adalah orang yang tidak mempunyai tangan, sehingga untuk menulispun harus menggunakan kaki. Seiring meningkatnya kemajuan teknologi komputer, peranan teknologi komputer juga semakin meningkat yang digunakan untuk kepentingan manusia. salah satunya adalah bidang interaksi manusia dan komputer (IMK), atau sering disebut Human Computer Interaction (HCI). Keyboard, mouse, dan joystick merupakan salah satu perangkat keras yang sering digunakan untuk interaksi antara manusia dan komputer yang bersifat mekanis. Meskipun peralatan-peralatan tersebut akurat dan handal (reliable), tetapi model interaksi yang dilakukan tidak bersifat alami sebagaimana manusia berinteraksi dengan sesamanya, penggunaan peralatan-peralatan tersebut untuk mengoperasikannya membutuhkan adanya  kontak langsung antara user dengan komputer. Untuk kaum difabel yang tidak mempunyai tangan, akan susah melakukan hal tersebut. Teknik interaksi berbasis visi komputer menjadi kandidat teknik interaksi yang bersifat alami. kepala manusia bisa juga digunakan untuk menggantikan fungsi mouse yang bisa digunakan untuk menggerakan cursor keatas kebawah kekiri maupun kekanan dan untuk melakukan klik pada mouse menggunakan kedipan mata. Pendeteksian menggunakan gerakan kepala telah diaplikasikan secara luas diantaranya pada bidang hiburan, pendidikan serta keamanan. Kamera  (webcam) merupakan alat yang digunakan untuk melakukan pengenalan kepala. Kamera ini digunakan sebagai sensor untuk mendeteksi pergerakan kepala. Pendeteksian gerakan kepala diimplementasikan dengan menggunakan opencv python.


Author(s):  
Juan C. Olivares-Rojas ◽  
Enrique Reyes-Archundia ◽  
José A. Gutiérrez-Gnecchi ◽  
Ismael Molina-Moreno ◽  
J. Guadalupe Ramos-Díaz ◽  
...  

New technologies associated with the fourth industrial revolution are transforming the world in which we live, and the power grid is no exception since it has been provided with intelligence. One of its best-known applications is smart metering systems that allow real-time energy consumption/production to be known, as well as other benefits such as outages and reconnections automatically. The new generations of smart meters have more computing capacity allowing new applications. This work shows some considerations in the design of smart meters using human-computer interaction techniques. The results aim to improve the end-user’s experience and satisfaction and can help to mitigate the reluctance to use smart metering systems in Mexico.;


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