Wireless Eye-Tracking Technology Application and Self-report Measures to Explore Users’ Approach to Smart Home Systems (SHS)

2021 ◽  
pp. 159-163
Author(s):  
Laura Angioletti ◽  
Federico Cassioli ◽  
Michela Balconi
Keyword(s):  
Eye Tracking ◽  
Smart Home ◽  
Self Report ◽  
Technology Application ◽  
Tracking Technology ◽  
Home Systems

scholarly journals Tracking eye-gaze in smart home systems (SHS): first insights from eye-tracking and self-report measures

2021 ◽  
Author(s):  
Federico Cassioli ◽  
Laura Angioletti ◽  
Michela Balconi
Keyword(s):  
Eye Tracking ◽  
Personality Traits ◽  
Smart Home ◽  
Near Infrared ◽  
Tracking System ◽  
Eye Gaze ◽  
Self Report ◽  
Visual Exploration ◽  
Living Room ◽  
Psychological Traits

AbstractHuman–computer interaction (HCI) is particularly interesting because full-immersive technology may be approached differently by users, depending on the complexity of the interaction, users’ personality traits, and their motivational systems inclination. Therefore, this study investigated the relationship between psychological factors and attention towards specific tech-interactions in a smart home system (SHS). The relation between personal psychological traits and eye-tracking metrics is investigated through self-report measures [locus of control (LoC), user experience (UX), behavioral inhibition system (BIS) and behavioral activation system (BAS)] and a wearable and wireless near-infrared illumination based eye-tracking system applied to an Italian sample (n = 19). Participants were asked to activate and interact with five different tech-interaction areas with different levels of complexity (entrance, kitchen, living room, bathroom, and bedroom) in a smart home system (SHS), while their eye-gaze behavior was recorded. Data showed significant differences between a simpler interaction (entrance) and a more complex one (living room), in terms of number of fixation. Moreover, slower time to first fixation in a multifaceted interaction (bathroom), compared to simpler ones (kitchen and living room) was found. Additionally, in two interaction conditions (living room and bathroom), negative correlations were found between external LoC and fixation count, and between BAS reward responsiveness scores and fixation duration. Findings led to the identification of a two-way process, where both the complexity of the tech-interaction and subjects’ personality traits are important impacting factors on the user’s visual exploration behavior. This research contributes to understand the user responsiveness adding first insights that may help to create more human-centered technology.

A Literature Review of Using Eye Tracking Technology in Fashion and Product Design

2014 ◽  
Vol 536-537 ◽  
pp. 1662-1665 ◽  
Author(s):  
Jia Nan Zhang ◽  
Lei Du ◽  
Yong Xie ◽  
Feng Yuan Zou
Keyword(s):  
Literature Review ◽  
Eye Tracking ◽  
Product Design ◽  
Self Report ◽  
Tracking Technology

Evaluation of fashion and product design has been one of the most prominent factors among designers and researchers. Unfortunately, they usually evaluate their design by self-report that is relatively subjective. Research using eye tracking technology has begun to lead a objective way in which where and when the participants look at. The present paper reviews some publications of eye tracking technology in fashion and product design, identifies directions for further research in this growing field.

User Presence Recognition in Smart Home Systems

2020 ◽  
Author(s):  
Mladen Matic ◽  
Igor Stefanovic ◽  
Roman Pavlovic ◽  
Istvan Pap
Keyword(s):  
Smart Home ◽  
Home Systems

scholarly journals Identification of the oculo-motor system based on the Volterra model using eye tracking technology

2020 ◽  
Vol 1603 ◽  
pp. 012011
Author(s):  
Vitaliy D. Pavlenko ◽  
Marek Milosz ◽  
Mariusz Dzienkowski
Keyword(s):  
Eye Tracking ◽  
Motor System ◽  
Volterra Model ◽  
Tracking Technology

scholarly journals The application of eye tracking technology in the evaluation of shoulder fit of male suit

2021 ◽  
Vol 1848 (1) ◽  
pp. 012130
Author(s):  
Lin Mei Yang ◽  
Yue Li ◽  
Xiao Gang Wang
Keyword(s):  
Eye Tracking ◽  
Tracking Technology

scholarly journals Security Vulnerability Assessment of Google Home Connection with an Internet of Things Device

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 1
Author(s):  
Hilal Çepik ◽  
Ömer Aydın ◽  
Gökhan Dalkılıç
Keyword(s):  
Internet Of Things ◽  
Vulnerability Assessment ◽  
Smart Home ◽  
Human Life ◽  
Computer Systems ◽  
Security Vulnerability ◽  
Network Time ◽  
Network Time Protocol ◽  
Home Systems

With virtual assistants, both changes and serious conveniences are provided in human life. For this reason, the use of virtual assistants is increasing. The virtual assistant software has started to be produced as separate devices as well as working on phones, tablets, and computer systems. Google Home is one of these devices. Google Home can work integrated with smart home systems and various Internet of Things devices. The security of these systems is an important issue. As a result of attackers taking over these systems, very serious problems may occur. It is very important to take the necessary actions to detect these problems and to take the necessary measures to prevent possible attacks. The purpose of this study is to test whether an attack that attackers can make to these systems via network time protocol will be successful or not. Accordingly, it has been tried to attack the wireless connection established between Google Home and an Internet of Things device over the network time protocol. Attack results have been shared.

scholarly journals Effects of age on memory for pragmatic implications in advertising

2021 ◽  
Vol 15 ◽  
pp. 183449092110004
Author(s):  
Jing Yu ◽  
Xue-Rui Peng ◽  
Ming Yan
Keyword(s):  
Older Adults ◽  
Eye Tracking ◽  
Cognitive Processes ◽  
Time Processing ◽  
Movement Data ◽  
Processing Strategies ◽  
Health Related ◽  
Advertising Content ◽  
Inferential Processing ◽  
Tracking Technology

People employ automatic inferential processing when confronting pragmatically implied claims in advertising. However, whether comprehension and memorization of pragmatic implications differ between young and older adults is unclear. In the present study, we used eye-tracking technology to investigate online cognitive processes during reading of misleading advertisements. We found an interaction between age and advertising content, manifested as our older participants generated higher misleading rates in health-related than in health-irrelevant products, whereas this content-bias did not appear in their younger counterparts. Eye movement data further showed that the older adults spent more time processing critical claims for the health-related products than for the health-irrelevant products. Moreover, the correlations between fixation duration on pragmatic implications and misleading rates showed opposite trends in the two groups. The eye-tracking evidence novelly suggests that young and older adults may adopt different information processing strategies to comprehend pragmatic implications in advertising: More reading possibly enhances young adults’ gist memory whereas it facilitates older adults’ verbatim memory instead.

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