Estimation of Dominant Factors in Shopping Based on Gaze Time Detection.
-
- Ryosuke Tagawa
- Science and Engineering, Chuo University
-
- Toshikazu Kato
- Science and Engineering, Chuo University
Bibliographic Information
- Other Title
-
- 視線計測を用いた注視時間に基づく商品の購買決定要因の推定
Search this article
Description
We have strived to realize the recommendation service which takes into account the individuality of each person on web and in store. It was difficult to understand user's latent preference because conventional estimation method doesn't have objective index. However, it is known that a person tend to gaze for a long time towards the preferred objects (preferential looking method) when a person selects or compares objects. So this study used user's gaze information towards products. First, I investigated whether preferential looking method is effective towards T-shirts images showed on display side by side. Second, I investigated whether most gazed point accords with dominant factors. These experiments yield that user's dominant factors towards objects can be estimated by using the gaze time with an accuracy rate of 76 percent.
Journal
-
- IPSJ SIG Notes
-
IPSJ SIG Notes 2014 (9), 1-4, 2014-03-06
Information Processing Society of Japan (IPSJ)
- Tweet
Details 詳細情報について
-
- CRID
- 1570854177860195072
-
- NII Article ID
- 110009676824
-
- NII Book ID
- AA1155524X
-
- ISSN
- 09196072
-
- Text Lang
- ja
-
- Data Source
-
- CiNii Articles