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Rong-Fuh Day

Researcher at National Chi Nan University

Publications -  18
Citations -  340

Rong-Fuh Day is an academic researcher from National Chi Nan University. The author has contributed to research in topics: Computer science & Tabu search. The author has an hindex of 6, co-authored 16 publications receiving 286 citations. Previous affiliations of Rong-Fuh Day include National Taiwan University.

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An exploratory study of cognitive effort involved in decision under Framing-an application of the eye-tracking technology

TL;DR: It is found that cognitive effort asymmetry plays a critical role in the production of the framing effect, and the finding has potential implications for the design of information presentation to facilitate decision making.
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Effects of music tempo and task difficulty on multi-attribute decision-making: An eye-tracking approach

TL;DR: The results supported the arousal inducer perspective that, with the same level of decision time, participants made decisions more accurately with the presentation of faster than slower tempo music and found the occurrence of adaptive behavior, namely, that the search pattern of participants became more intra-dimensional under the faster tempo music.
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The effects of attention inertia on advertisements on the WWW

TL;DR: The results show that at different levels of depth in a meaningful path, the amount of attention allocated to the content of a web page is not the same, regardless of whether attention indexes were based on dwell time or the number of fixations.
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The effect of Flash banners on multiattribute decision making: Distractor or source of arousal?

TL;DR: The role of peripheral flash advertisements in decision making as a distractor or a source of arousal was examined in this paper, where participants were asked to perform multiattribute decision making in a display environment with or without banners of advertisement flashing occasionally in the peripheral region of the display.
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Examining the validity of the Needleman-Wunsch algorithm in identifying decision strategy with eye-movement data

TL;DR: The validity of the Needleman-Wunsch algorithm (NWA) is examined, and an NWA-based classification method is proposed to predict which typical strategy an empirical search behavior might belong to.