Human-Computer Interaction: Informing Design Utilizing Behavioral, Neurophysiological, and Design Science Methods Minitrack

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The aim of this minitrack is to provide a forum for HCI researchers to exchange a broad range of issues related to the design of human-computer interaction by drawing upon diverse approaches, including behavioral, neurophysiological, and design science methods. Appropriate papers for the HCI mini-track will draw on the broadest range of research methodologies including, but not limited to, behavioral methods (e.g., case study, experimentation, survey, action research), neurophysiological tools (e.g., fMRI, eye tracking, HCI devices such as mice, touch screens and typing dynamics, skin conductance response), and design science approaches. Accordingly, a broad range of reference disciplines may be appropriate to draw upon to inform design, such as: computer science, information systems, consumer behavior, psychology, organizational sciences, neuroscience, neuroeconomics, and neuromarketing. Moreover, papers that help to bridge academic research and industry practice are welcome.

Given the diverse goals of this minitrack, there are a plethora of appropriate topics; possible topics include, but are not limited to:

  • Behavioral, neurophysiological, and design aspects of human-computer interaction
  • Neuroscientific approaches to human-computer interaction
  • How design and human-computer interaction is informed by neurophysiological tools
  • User task analysis and modeling
  • Analysis, design, development, evaluation, and use of information systems
  • Guidelines and standards for interface design
  • Web-based user interface design and evaluation for:
    • B2B, B2C, C2C E-Commerce
    • Group collaboration
    • Negotiation and auctions
  • Design and evaluation issues for mobile devices and m-Commerce
  • Interface issues in the design and development of other new interaction technologies
  • Information system usability engineering
  • The impact of interfaces on attitude, perception, behavior, productivity , and performance (including their measurement with neurophysiological tools)
  • Implications and consequences of technological change on individuals, groups, society, and socio-technical units
  • Design issues related to the elderly, the young, and special needs populations
  • Issues related to teaching HCI courses
  • Other human factors issues related to HCI
  • Interface design for group and other collaborative environments
  • User Developer experiences with particular interfaces, design environments, or devices
  • Evaluation of HIC devices, design approaches and usability in specific domains, including health care, law, engineering, governmental, business, and so on

Minitrack Co-Chairs:

Christoph Schneider (Primary Contact)
City University of Hong Kong

Joe Valacich
University of Arizona

Angelika Dimoka
Temple University


Recent Submissions

Now showing 1 - 5 of 9
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    Using Wearable Devices for Non-invasive, Inexpensive Physiological Data Collection
    ( 2017-01-04) Gaskin, James ; Jenkins, Jeffrey ; Meservy, Thomas ; Steffen, Jacob ; Payne, Katherine
    Using sensors to gather physiological data about users can provide valuable insights for Information Systems (IS) research that are not availed through traditional measures. While useful in many laboratory settings, many of these physiological sensors (e.g., fMRI, EEG, EKG, etc.) are impractical and severely limited in other scenarios due to (1) prohibitive cost, (2) small sample size, (3) invasiveness, and (4) the difficulty to match psychological traits to physiological measures. In this study, we demonstrate how inexpensive consumer-grade wearable technologies overcome these first three limitations while we extend existing research on exploring the fourth limitation.
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    Using Context-Based Password Strength Meter to Nudge Users' Password Generating Behavior: A Randomized Experiment
    ( 2017-01-04) Khern-am-nuai, Warut ; Yang, Weining ; Li, Ninghui
    Encouraging users to create stronger passwords is one of the key issues in password-based authentication. It is particularly important as prior works have highlighted that most passwords are weak. Yet, passwords are still the most commonly used authentication method. This paper seeks to mitigate the issue of weak passwords by proposing a context-based password strength meter. We conduct a randomized experiment on Amazon MTurk and observe the change in users’ behavior. The results show that our proposed method is significantly effective. Users exposed to our password strength meter are more likely to change their passwords after seeing the warning message, and those new passwords are stronger. Furthermore, users are willing to invest their time to learn about creating a stronger password, even in a traditional password strength meter setting. Our findings suggest that simply incorporating contextual information to password strength meters could be an effective method in promoting more secure behaviors among end users.
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    The Agile UX Development Lifecycle: Combining Formative Usability and Agile Methods
    ( 2017-01-04) Kieffer, Suzanne ; Ghouti, Aissa ; Macq, Benoit
    This paper contributes a method variation that helps cross-functional teams combine both formative usability and agile methods to develop interactive systems. Both methods are iterative, continuous and focus on delivering value to users, which makes their combination possible. The “agile UX development lifecycle” supports and facilitates the synchronization of the steps involved in both formative usability and agile sprints in an operable manner and is intended for design and development settings. We present a case study that illustrates the extent to which this tool meets the needs of real-world cross-functional teams, describing the gains in efficiency it can provide but also guidelines for increasing the benefits gained from this combination in design and development settings.
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    Overcoming Innovation Resistance beyond Status Quo Bias - A Decision Support System Approach (Research-in-Progress)
    ( 2017-01-04) Stryja, Carola ; Dorner, Verena ; Riefle, Lara
    When innovative products and services are launched to the market, many consumers initially resist adopting them, even if the innovation is likely to enhance their life quality. Explanations for this behavior can also be found in specific personality traits and in general pitfalls of human decision-making. We believe that decision support systems (DSS) can help alleviate such innovation resistance. We propose a DSS design that addresses innovation resistance to complex innovations on an individual’s cognitive level. An experimental study will be conducted to test the influence of different DSS modifications on the perception and selection of complex innovations. We aim to identify levers for reducing innovation resistance and to derive DSS design implications. \
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    MUX: Development of a Holistic Mobile User Experience Instrument
    ( 2017-01-04) Djamasbi, Soussan ; Wilson, Vance
    User experience practitioners have benefitted from the availability of usability measures that are short, generalizable, and easy to interpret, such as the System Usability Scale. However, such generalizable instruments fail to address many of the key characteristics of software applications that can be used across a range of mobile devices. Our response is development of MUX, a mobile user experience instrument that provides holistic assessment of specific software-device use scenarios. We find that MUX self-report scales assessing Nuisance, Mobility, and Access can be applied to effectively augment measures of the System Usability Scale or can be used as a standalone instrument for rating and comparing user experiences in mobile computing.