The Effects of Multimodal Feedback and Gender on Task Performance of Stylus Pen Users

As various interactive input devices for computers have become available, the role of multimodal feedbacks generated by the devices has gained an increasing emphasis in recent years, with debates surrounding the relative efficiency of different feedback types of input devices. To address this and related issues, the present study conducted a 4 (types of feedback: visual vs. tactile vs. auditory vs. combined feedback) x 2 (gender: male vs. female) within-subject experiment to examine the effects of the type of feedbacks and gender on the efficiency and accuracy of a multimodal stylus pen. Results from the experiment showed that, regardless of the feedback type, males clicked the stylus faster than females while making more errors. A similar pattern was discovered when used the pen for dragging; males completed the dragging task faster than females while producing more errors. Interactions between the feedback type and gender as well as implications and limitations of the present study are discussed.

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Evaluating User Response to In-Car Haptic Feedback Touchscreens Using the Lane Change Test

Advances in Human-Computer Interaction ◽

10.1155/2012/598739 ◽

2012 ◽

Vol 2012 ◽

pp. 1-13 ◽

Cited By ~ 12

Author(s):

Matthew J. Pitts ◽

Lee Skrypchuk ◽

Tom Wellings ◽

Alex Attridge ◽

Mark A. Williams

Keyword(s):

Task Performance ◽

User Interfaces ◽

Haptic Feedback ◽

Affective Response ◽

Modern Technology ◽

Lane Change ◽

Multimodal Feedback ◽

Feedback Type ◽

Driving Task ◽

Lane Change Test

Touchscreen interfaces are widely used in modern technology, from mobile devices to in-car infotainment systems. However, touchscreens impose significant visual workload demands on the user which have safety implications for use in cars. Previous studies indicate that the application of haptic feedback can improve both performance of and affective response to user interfaces. This paper reports on and extends the findings of a 2009 study conducted to evaluate the effects of different combinations of touchscreen visual, audible, and haptic feedback on driving and task performance, affective response, and subjective workload; the initial findings of which were originally published in (M. J. Pitts et al., 2009). A total of 48 non-expert users completed the study. A dual-task approach was applied, using the Lane Change Test as the driving task and realistic automotive use case touchscreen tasks. Results indicated that, while feedback type had no effect on driving or task performance, preference was expressed for multimodal feedback over visual alone. Issues relating to workload and cross-modal interaction were also identified.

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Response Interference as a Mechanism Underlying Implicit Measures

European Journal of Psychological Assessment ◽

10.1027/1015-5759.24.4.218 ◽

2008 ◽

Vol 24 (4) ◽

pp. 218-225 ◽

Cited By ~ 28

Author(s):

Bertram Gawronski ◽

Roland Deutsch ◽

Etienne P. LeBel ◽

Kurt R. Peters

Keyword(s):

Task Performance ◽

Psychological Research ◽

Implicit Measures ◽

Mediation Model ◽

Response Interference ◽

Relevant Evidence ◽

Moderated Mediation Model ◽

Stimulus Features ◽

Underlying Mechanisms

Over the last decade, implicit measures of mental associations (e.g., Implicit Association Test, sequential priming) have become increasingly popular in many areas of psychological research. Even though successful applications provide preliminary support for the validity of these measures, their underlying mechanisms are still controversial. The present article addresses the role of a particular mechanism that is hypothesized to mediate the influence of activated associations on task performance in many implicit measures: response interference (RI). Based on a review of relevant evidence, we argue that RI effects in implicit measures depend on participants attention to association-relevant stimulus features, which in turn can influence the reliability and the construct validity of these measures. Drawing on a moderated-mediation model (MMM) of task performance in RI paradigms, we provide several suggestions on how to address these problems in research using implicit measures.

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