hotauthor: leonard_v* : Human-Computer Interaction Bibliography Search

[1] EDITED BOOK The human-computer interaction handbook: fundamentals, evolving technologies, and emerging applications / Jacko, Julie A. 2012 p.1518 CRC Press

ISBN: 978-1-4398-2943-1, 1-4398-2943-8 oclc: 441142179

Third edition

www.taylorandfrancis.com/books/details/9781439829431/

Introduction: A Moving Target: The Evolution of Human-Computer Interaction
		+ Grudin, Jonathan
Humans in HCI
	Perceptual-Motor Interaction: Some Implications for Human-Computer Interaction
		+ Welsh, Timothy N.
		+ Chandrasekharan, Sanjay
		+ Ray, Matthew
		+ Neyedli, Heather
		+ Chua, Romeo
		+ Weeks, Daniel J.
	Human Information Processing: An Overview for Human-Computer Interaction
		+ Proctor, Robert W.
		+ Vu, Kim-Phuong L.
	Mental Models in Human-Computer Interaction
		+ Payne, Stephen J.
	Task Loading and Stress in Human-Computer Interaction: Theoretical Frameworks and Mitigation Strategies
		+ Szalma, James L.
		+ Hancock, Gabriella M.
		+ Hancock, Peter A.
	Choices and Decisions of Computer Users
		+ Jameson, Anthony
Computers in HCI
	Input Technologies and Techniques
		+ Hinckley, Ken
		+ Wigdor, Daniel
	Sensor- and Recognition-Based Input for Interaction
		+ Wilson, Andrew D.
	Visual Displays
		+ Schlick, Christopher M.
		+ Winkelholz, Carsten
		+ Ziefle, Martina
		+ Mertens, Alexander
	Haptic Interface
		+ Iwata, Hiroo
	Nonspeech Auditory and Crossmodal Output
		+ Hoggan, Eve
		+ Brewster, Stephen
	Network-Based Interaction
		+ Dix, Alan
	Wearable Computers
		+ Siewiorek, Daniel
		+ Smailagic, Asim
		+ Starner, Thad
	Design of Fixed, Portable, and Mobile Information Devices
		+ Smith, Michael J.
		+ Carayon, Pascale
Designing Human-Computer Interactions
	Visual Design Principles for Usable Interfaces: Everything Is Designed: Why We Should Think before Doing
		+ Watzman, Suzanne
		+ Re, Margaret
	Globalization, Localization, and Cross-Cultural User-Interface Design
		+ Marcus, Aaron
		+ Gould, Emilie W.
	Speech and Language Interfaces, Applications, and Technologies
		+ Karat, Clare-Marie
		+ Lai, Jennifer
		+ Stewart, Osamuyimen
		+ Yankelovich, Nicole
	Multimedia User Interface Design
		+ Sutcliffe, Alistair
	Multimodal Interfaces
		+ Oviatt, Sharon
	Systems That Adapt to Their Users
		+ Jameson, Anthony
		+ Gajos, Krzysztof Z.
	Mobile Interaction Design in the Age of Experience Ecosystems
		+ Susani, Marco
	Tangible User Interfaces
		+ Ishii, Hiroshi
		+ Ullmer, Brygg
	Achieving Psychological Simplicity: Measures and Methods to Reduce Cognitive Complexity
		+ Thomas, John C.
		+ Richards, John T.
	Information Visualization
		+ Card, Stuart
	Collaboration Technologies
		+ Olson, Gary M.
		+ Olson, Judith S.
	Human-Computer Interaction and the Web
		+ Ashman, Helen
		+ Dagger, Declan
		+ Brailsford, Tim
		+ Goulding, James
		+ O'Sullivan, Declan
		+ Schmakeit, Jan-Felix
		+ Wade, Vincent
	Human-Centered Design of Decision-Support Systems
		+ Smith, Philip J.
		+ Beatty, Roger
		+ Hayes, Caroline C.
		+ Larson, Adam
		+ Geddes, Norman D.
		+ Dorneich, Michael C.
	Online Communities
		+ Zaphiris, Panayiotis
		+ Ang, Chee Siang
		+ Laghos, Andrew
	Virtual Environments
		+ Stanney, Kay M.
		+ Cohn, Joseph V.
	Privacy, Security, and Trust: Human-Computer Interaction Challenges and Opportunities at Their Intersection
		+ Karat, John
		+ Karat, Clare-Marie
		+ Brodie, Carolyn
Application-/Domain-Specific Design
	Human-Computer Interaction in Health Care
		+ Sainfort, François
		+ Jacko, Julie A.
		+ McClellan, Molly A.
		+ Edwards, Paula J.
	Why We Play: Affect and the Fun of Games -- Designing Emotions for Games, Entertainment Interfaces, and Interactive Products
		+ Lazzaro, Nicole
	Motor Vehicle-Driver Interfaces
		+ Green, Paul A.
	Human-Computer Interaction in Aerospace
		+ Landry, Steven J.
	User-Centered Design in Games Randy J. Pagulayan
		+ Keeker, Kevin
		+ Fuller, Thomas
		+ Wixon, Dennis
		+ Romero, Ramon L.
		+ Gunn, Daniel V.
Designing for Diversity
	Older Adults and Information Technology: Opportunities and Challenges
		+ Czaja, Sara J.
		+ Lee, Chin Chin
	Human-Computer Interaction for Kids
		+ Bruckman, Amy
		+ Bandlow, Alisa
		+ Dimond, Jill
		+ Forte, Andrea
	Information Technology for Communication and Cognitive Support
		+ Newell, Alan F.
		+ Carmichael, Alex
		+ Gregor, Peter
		+ Alm, Norman
		+ Waller, Annalu
		+ Hanson, Vicki L.
		+ Pullin, Graham
		+ Hoey, Jesse
	Perceptual Impairments: New Advancements Promoting Technological Access
		+ Jacko, Julie A.
		+ Leonard, V. Kathlene
		+ McClellan, Molly A.
		+ Scott, Ingrid U.
	Universal Accessibility and Low-Literacy Populations: Implications for Human-Computer Interaction Design and Research Methods
		+ Gribbons, William M.
	Computing Technologies for Deaf and Hard of Hearing Users
		+ Hanson, Vicki L.
The Development Process
Section A Requirements Specification
	User Experience Requirements Analysis within the Usability Engineering Lifecycle
		+ Mayhew, Deborah J.
		+ Follansbee, Todd J.
	Task Analysis
		+ Courage, Catherine
		+ Jain, Jhilmil
		+ Redish, Janice (Ginny)
		+ Wixon, Dennis
	Contextual Design
		+ Holtzblatt, Karen
	Grounded Theory Method in Human-Computer Interaction and Computer-Supported Cooperative Work
		+ Muller, Michael J.
		+ Kogan, Sandra
	An Ethnographic Approach to Design
		+ Blomberg, Jeanette
		+ Burrell, Mark
Section B Design and Development
	Putting Personas to Work: Employing User Personas to Focus Product Planning, Design, and Development
		+ Pruitt, John
		+ Adlin, Tamara
	Prototyping Tools and Techniques
		+ Beaudouin-Lafon, Michel
		+ Mackay, Wendy E.
	Scenario-Based Design
		+ Rosson, Mary Beth
		+ Carroll, John M.
	Participatory Design: The Third Space in Human-Computer Interaction
		+ Muller, Michael J.
		+ Druin, Allison
	Unified User Interface Development: A Software Refactoring Perspective
		+ Savidis, Anthony
		+ Stephanidis, Constantine
	Usability + Persuasiveness + Graphic Design = eCommerce User Experience
		+ Mayhew, Deborah J.
	Human-Computer Interaction and Software Engineering for User Interface Plasticity
		+ Coutaz, Joëlle
		+ Calvary, Gaëlle
Section C Testing, Evaluation, and Technology Transfer
	Usability Testing
		+ Dumas, Joseph S.
		+ Fox, Jean E.
	Usability for Engaged Users: The Naturalistic Approach to Evaluation
		+ Siegel, David
	Survey Design and Implementation in HCI
		+ Ozok, A. Ant
	Inspection-Based Evaluations
		+ Cockton, Gilbert
		+ Woolrych, Alan
		+ Hornbæk, Kasper
		+ Frøkjær, Erik
	Model-Based Evaluation
		+ Kieras, David
	Spreadsheet Tool for Simple Cost-Benefit Analyses of User Experience Engineering
		+ Mayhew, Deborah J.
	Technology Transfer
		+ Schofield, Kevin M.
Emerging Phenomena in HCI
	Augmenting Cognition in HCI: Twenty-First Century Adaptive System Science and Technology
		+ Hale, Kelly S.
		+ Stanney, Kay M.
		+ Schmorrow, Dylan D.
	Social Networks and Social Media
		+ McClellan, Molly A.
		+ Jacko, Julie A.
		+ Sainfort, François
		+ Johnson, Layne M.
	Human-Computer Interaction for Development: Changing Human-Computer Interaction to Change the World
		+ Dray, Susan M.
		+ Light, Ann
		+ Dearden, Andrew M.
		+ Evers, Vanessa
		+ Densmore, Melissa
		+ Ramachandran, Divya
		+ Kam, Matthew
		+ Marsden, Gary
		+ Sambasivan, Nithya
		+ Smyth, Thomas
		+ van Greunen, Darelle
		+ Winters, Niall

[2] Leveraging data complexity: Pupillary behavior of older adults with visual impairment during HCI / Moloney, Kevin P. / Jacko, Julie A. / Vidakovic, Brani / Sainfort, Francois / Leonard, V. Kathlene / Shi, Bin ACM Transactions on Computer-Human Interaction 2006 v.13 n.3 p.376-402

ACM Digital Library Link

Summary: The current ubiquity of information technology has increased variability among users, creating a corresponding need to properly capture and understand these individual differences. This study introduces a novel application of multifractal statistical methods to distinguish users via patterns of variability within high frequency pupillary response behavior (PRB) data collected during computer-based interaction. PRB was measured from older adults, including two groups diagnosed with age-related macular degeneration (AMD) maintaining a range of visual acuities (n = 14), and one visually healthy control group (i.e., disease-free, 20/20-20/32 acuity) (n = 14). Three measures of the multifractal spectrum, the distribution of regularity indices extracted from time series data, distinguished the user groups, including: 1) Spectral Mode; 2) Broadness; and 3) Left Slope. The results demonstrate a clear relationship between the values of these measures and the level of visual capabilities. These analytical techniques leverage the inherent complexity and richness of this high frequency physiological response data, which can be used to meaningfully differentiate individuals whose sensory and cognitive capabilities may be affected by aging and visual impairment. Multifractality analysis provides an objective, quantifiable means of uncovering and examining the underlying signatures in physiological behavior that may account for individual differences in interaction needs and behaviors.

[3] An investigation of handheld device use by older adults with age-related macular degeneration / Leonard, V. K. / Jacko, J. A. / Pizzimenti, J. J. Behaviour and Information Technology 2006 v.25 n.4 p.313-332

Keywords: Older adults, Visual impairment, Macular degeneration, Icons, Drag and drop, Spacing, Auditory feedback, Mobile computing, Handheld computers

Link to Article at journalsonline.tandf.co.uk

Summary: This study investigates factors affecting handheld human-computer interaction (HCI) for older adults with Age-related Macular Degeneration (AMD). This is largely an uncharted territory, as empirical investigations of HCI concerning users with visual dysfunction and/or older adults have focused primarily on desktop computers. For this study, participants with AMD and visually healthy controls used a handheld computer to search, select and manipulate familiar playing card icons under varied icon set sizes, inter-icon spacing and auditory feedback conditions. While all participants demonstrated a high rate of task completion, linear regression revealed several relationships between task efficiency and the interface, user characteristics and ocular factors. Two ocular measures, severity of AMD and contrast sensitivity, were found to be highly predictive of efficiency. The outcomes of this work reveal that users with visual impairments can effectively interact with graphical user interfaces on small displays in the presence of low-cost, easily implemented design interventions. Furthermore, results demonstrate that the detrimental influence of AMD and contrast sensitivity on handheld technology interaction can be offset by such interventions. This study presents a rich data set and is intended to inspire future work characterizing and modeling the interactions of individuals with visual impairments with non-traditional information technology platforms and contexts.

[4] An exploratory investigation of handheld computer interaction for older adults with visual impairments Evaluating accessibility / Leonard, V. Kathlene / Jacko, Julie A. / Pizzimenti, Joseph J. Seventh Annual ACM SIGACCESS Conference on Assistive Technologies 2005-10-09 p.12-19

ACM Digital Library Link

Summary: This study explores factors affecting handheld computer interaction for older adults with Age-related Macular Degeneration (AMD). This is largely uncharted territory, as empirical investigations of human-computer interaction (HCI) concerning users with visual dysfunction and/or older adults have focused primarily on desktop computers. For this study, participants with AMD and visually-healthy controls used a handheld computer to search, select and manipulate familiar playing card icons under varied icon set sizes, inter-icon spacing and auditory feedback conditions. While all participants demonstrated a high rate of task completion, linear regression revealed several relationships between task efficiency and the interface, user characteristics and ocular factors. Two ocular measures, severity of AMD and contrast sensitivity, were found to be highly predictive of efficiency. The outcomes of this work reveal that users with visual impairments can effectively interact with GUIs on small displays in the presence of low-cost, easily implemented design interventions. This study presents a rich data set and is intended to inspire future work exploring the interactions of individuals with visual impairments with non-traditional information technology platforms, such as handheld computers.

[5] Informing Accessible Design Through Self-Reported Quality of Visual Health HEALTH CARE: Design Issues in Health Care Systems / Leonard, V. Kathlene / Edwards, Paula J. / Jacko, Julie A. Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting 2005-09-26 v.49 p.994-998

Link to HFES Digital Content

Summary: This study investigates the potential utility of the VFQ-25 as an alternative to clinically acquired measures of visual function for investigations of computer-based performance. While clinical measures of visual function have been used as predictors of performance on psychomotor tasks for people with impaired vision, the VFQ-25 represents a low cost, easy-to-administer alternative. In this study, participants with Age-related Macular Degeneration and controls responded to the VFQ-25 and completed a drag-and-drop task with different feedback modalities. Based on VFQ scores, a hierarchical clustering algorithm was used to generate five distinct participant groups. Statistical comparisons of performance between the groups under each feedback condition confirmed the efficacy of the VFQ-25 as a tool for classifying user interaction. Consistent with previous studies comparing performance based solely on visual acuity, these results encourage the use of the VFQ-25 in research and design in circumstances that are not conducive to gathering clinically acquired measures.

[6] From Extraneous Noise to Categorizable Signatures: Using Multi-scale Analyses to Assess Implicit Interaction Needs of Older Adults with Visual Impairments Short Papers: Universal Access / Moloney, K. P. / Leonard, V. K. / Shi, B. / Jacko, J. A. / Vidakovic, B. / Sainfort, F. Proceedings of IFIP INTERACT'05: Human-Computer Interaction 2005-09-12 p.1108-1111

Link to Digital Content at SpringerLink

Summary: The holistic understanding of human-computer interaction (HCI) is increasingly important, especially given the impending influx of older users who present dynamic needs that evolve with age. This study explores pupillary response behavior (PRB) during computer interaction to identify underlying differences between older adults of varying ocular profiles. PRB was measured from two groups of individuals diagnosed with Age-related Macular Degeneration (AMD) and a visually healthy control group. Unconventional analytical techniques -- wavelet-based multifractal analyses -- were used to identify PRB anomalies resulting from the effects of aging and/or ocular pathology. A distribution of regularity indices was extracted from the data signals to reveal signatures of PRB change patterns. One characteristic of the multifractal spectrum, Left Slope (LS), fully distinguished the user groups, revealing trends of increasing PRB irregularity with increasing levels of ocular dysfunction.

[7] Multimodal Feedback as a Solution to Ocular Disease-Based User Performance Decrements in the Absence of Functional Visual Loss / Jacko, Julie A. / Moloney, Kevin P. / Kongnakorn, Thitima / Barnard, Leon / Edwards, Paula J. / Leonard, V. Kathlene / Sainfort, Francois / Scott, Ingrid U. International Journal of Human-Computer Interaction 2005 v.18 n.2 p.183-218

www.leaonline.com/doi/abs/10.1207/s15327590ijhc1802_4

Summary: This study examines effects of the most common cause of blindness in persons over the age of 55 in the United States, age-related macular degeneration (AMD), on the performance of older adults when completing a simple computer-based task. Older users with normal vision (n = 6) and with AMD (n = 6) performed a series of drag-and-drop tasks that incorporated a variety of different feedback modalities. The user groups were equivalent with respect to traditional visual function parameters (i.e., visual acuity, contrast sensitivity, and color vision) and measured subject cofactors, aside from the presence or absence of AMD (i.e., drusen and retinal pigment epithelial mottling). Task performance was assessed with measures of time (trial time and feedback exposure time) and accuracy (error frequency). Results indicate that users with AMD exhibited decreased performance with respect to required feedback exposure time, total trial time, and errors committed. Some nonvisual and multimodal feedback forms show potential as solutions for enhanced performance, for those with AMD as well as for visually healthy older adults.

[8] Understanding users with Diabetic Retinopathy: factors that affect performance in a menu selection task / Edwards, P. J. / Barnard, L. / Leonard, V. K. / Yi, J. S. / Moloney, K. P. / Kongnakorn, T. / Jacko, J. A. / Sainfort, F. Behaviour and Information Technology 2005 v.24 n.3 p.175-186

Keywords: Multimodal feedback, Windows accessibility settings, Visual impairment, Diabetic Retinopathy, Menu selection

Link to Article at journalsonline.tandf.co.uk

Summary: This paper examines factors that affect performance on a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Linear and logistic regression models were used to examine various contextual factors that influenced task efficiency (time) and accuracy (errors). Interface characteristics such as multimodal feedback, Windows accessibility settings, and menu item location were investigated along with various visual function and participant characteristics. Results indicated that Windows accessibility settings and other factors, including age, computer experience, visual acuity, contrast sensitivity, and menu item location, were significant predictors of task performance.

[9] Empirical validation of the Windows accessibility settings and multimodal feedback for a menu selection task for users with Diabetic Retinopathy / Jacko, J. A. / Barnard, L. / Yi, J. S. / Edwards, P. J. / Leonard, V. K. / Kongnakorn, T. / Moloney, K. P. / Sainfort, F. Behaviour and Information Technology 2005 v.24 n.6 p.419-434

Link to Article at journalsonline.tandf.co.uk

Summary: This study investigates the effectiveness of two design interventions, the Microsoft Windows accessibility settings and multimodal feedback, aimed at the enhancement of a menu selection task, for users with diabetic retinopathy (DR) with stratified levels of visual dysfunction. Several menu selection task performance measures, both time- and accuracy-based, were explored across different interface conditions and across groups of participants stratified by different degrees of vision loss. The results showed that the Windows accessibility settings had a significant positive impact on performance for participants with DR. Moreover, multimodal feedback had a negligible effect for all participants. Strategies for applying multimodal feedback to menu selection are discussed, as well as the potential benefits and drawbacks of the Windows accessibility settings.