HCI Bibliography Home | HCI Journals | About THCI | Journal Info | THCI Journal Volumes | Detailed Records | RefWorks | EndNote | Hide Abstracts
THCI Tables of Contents: 010203040506

AIS Transactions on Human-Computer Interaction 6

Editors:Dennis Galletta; Joe Valacich
Dates:2014
Volume:6
Publisher:Association for Information Systems
Standard No:ISSN 1944-3900
Papers:5
Links:Table of Contents
  1. THCI 2014-03 Volume 6 Issue 1
  2. THCI 2014-06 Volume 6 Issue 2
  3. THCI 2014-09 Volume 6 Issue 3
  4. THCI 2014-12 Volume 6 Issue 4

THCI 2014-03 Volume 6 Issue 1

The Buck Stops There: The Impact of Perceived Accountability and Control on the Intention to Delegate to Software Agents BIBAFull-TextPDF 1-15
  Nathan Stout; Alan R. Dennis; Taylor M. Wells
Software agents with the ability to recommend actions, aid decision-making, and actually make decisions are becoming increasingly common. In many situations, users now choose whether or not to delegate tasks to these agents. While some research has examined software agents, relatively little is known about the factors that influence the intention to delegate decisions to them. An experiment was used to examine the influence of perceived accountability, extent of control, and trust in the agent on the intention to delegate a travel arrangement decision. Users were more likely to delegate to agents that gave them greater control by requiring them to approve the agent's recommendation before the decision was completed than to agents that performed the task autonomously without intervention after it was delegated. Contrary to expectations, intention to delegate increased as perceived accountability increased. Participants may perceive delegation as a means to shift blame from themselves to the agent and thus mitigate risk resulting from potential negative decision outcomes.

THCI 2014-06 Volume 6 Issue 2

Boundaryless Technology: Understanding the Effects of Technology-Mediated Interruptions across the Boundaries between Work and Personal Life BIBAFull-TextPDF 16-36
  Adela Chen; Elena Karahanna
This study examines how technology-mediated cross-domain interruptions affect people's work and personal life on two aspects: level of conflict between work and personal life and people's ability to fulfill their responsibilities in each of the two domains. Based on the direction of an interruption, we differentiate between two types of cross-domain interruptions: work-to-nonwork (WTN) and nonwork-to-work (NTW). Drawing on interruption research and work-life interaction literature, we conceptualize distinct effects of the two interruption types on outcome variables. Data were collected through surveys from 137 knowledge workers. Results reveal asymmetric effects of WTN and NTW interruptions on work and personal life. The frequency of WTN interruptions is found to be positively associated with work-life conflict and negatively associated with fulfillment of personal life responsibilities, whereas the frequency of NTW interruptions significantly affects fulfillment of work responsibilities but not work-life conflict. Thus, results point to asymmetrically permeable boundaries between work and personal life. Results also suggest that the effects of WTN interruptions on fulfillment of personal life responsibilities are partially mediated by WTN conflict. The study concludes with implications for research and practice.
Eye Tracking and Web Experience BIBAFull-TextPDF 37-54
  Soussan Djamasbi
User experience research aims to understand a user's point of view. Because eye tracking allows us to literally see through a user's eyes, it can serve as a valuable tool in web studies, particularly in web design and development. To understand how eye tracking can be pivotal in website studies, this paper scientifically explains how the human visual system works and how eye tracker technologies can record what we register with our eyes. It then explains how web design can benefit from the data that eye tracking studies deliver. Finally, the paper discusses trends for eye tracking in future web experience research.

THCI 2014-09 Volume 6 Issue 3

Applying Functional Near Infrared (fNIR) Spectroscopy to Enhance MIS Research BIBAFull-TextPDF 55-73
  D. Gefen; Hasan Ayaz; Banu Onaral
This review paper introduces the emerging technology of optical brain imaging, also known as functional near infrared (fNIR) spectroscopy, and discusses its potential role in enhancing theory and methodology used in MIS research. We discuss basic fNIR principles including the technique's safe and portable nature, which allows ambulatory brain activity assessment in real world environments. We then touch on the neural correlates that fNIR measures, and the cortical oxygenation changes in the dorsal and anterior regions of the prefrontal cortex. We compare fNIR with traditional neuroimaging methods such as fMRI and PET. We also list case studies, future directions, and potential approaches relevant to MIS. fNIR may be used to inform theory and improve assessments in MIS-based studies, including informing theory, by identifying neural correlates, studying constructs that could not easily if at all be measured with traditional methods, applying objective constructs that subjects are unaware of, and designing better surveys.

THCI 2014-12 Volume 6 Issue 4

Assessing Smartphone Ease of Use and Learning from the Perspective of Novice and Expert Users: Development and Illustration of Mobile Benchmark Tasks BIBAFull-TextPDF 74-91
  Dennis F. Galletta; Brian K. Dunn
Assessing usability of device types with novel function sets that are adopted by diverse user groups requires one to explore a variety of approaches. In this paper, we develop such an approach to assess usability of smartphone devices. Using a three-stage Delphi-method study, we identify sets of benchmark tasks that can be used to assess usability for various user types. These task sets enable one to evaluate smartphone platforms from two perspectives: ease of learning (for those unfamiliar with smartphone use) and ease of use (for experienced users). We then demonstrate an approach for using this task set by performing an exploratory study of both inexperienced smartphone users (using a convenience sample) and experienced users (using the keystroke model). Our exploration illustrates the methodology for using such a task set and, in so doing, reveals significant differences among the leading smartphone platforms between novice and expert users. As such, we provide some preliminary evidence that ease of use is indeed significantly different from ease of learning.