• Title/Summary/Keyword: AI Effect

Search Result 880, Processing Time 0.025 seconds

Analysis of Users' Emotions on Lighting Effect of Artificial Intelligence Devices (인공지능 디바이스의 조명효과에 대한 사용자의 감정 평가 분석)

  • Hyeon, Yuna;Pan, Young-hwan;Yoo, Hoon-Sik
    • Science of Emotion and Sensibility
    • /
    • v.22 no.3
    • /
    • pp.35-46
    • /
    • 2019
  • Artificial intelligence (AI) technology has been evolving to recognize and learn the languages, voice tones, and facial expressions of users so that they can respond to users' emotions in various contexts. Many AI-based services of particular importance in communications with users provide emotional interaction. However, research on nonverbal interaction as a means of expressing emotion in the AI system is still insufficient. We studied the effect of lighting on users' emotional interaction with an AI device, focusing on color and flickering motion. The AI device used in this study expresses emotions with six colors of light (red, yellow, green, blue, purple, and white) and with a three-level flickering effect (high, middle, and low velocity). We studied the responses of 50 men and women in their 20s and 30s to the emotions expressed by the light colors and flickering effects of the AI device. We found that each light color represented an emotion that was largely similar to the user's emotional image shown in a previous color-sensibility study. The rate of flickering of the lights produced changes in emotional arousal and balance. The change in arousal patterns produced similar intensities of all colors. On the other hand, changes in balance patterns were somewhat related to the emotional image in the previous color-sensibility study, but the colors were different. As AI systems and devices are becoming more diverse, our findings are expected to contribute to designing the users emotional with AI devices through lighting.

The Effect of Involvement and Severity on Acceptance of Artificial Intelligence Judgment (사건 관여도와 심각성이 인공지능 판결에 대한 수용도에 미치는 효과)

  • Doh, Eun Yeong;Lee, Guk-Hee;Jung, Ji Eun
    • Korean Journal of Cognitive Science
    • /
    • v.32 no.4
    • /
    • pp.169-191
    • /
    • 2021
  • With the development of artificial intelligence(AI), the jobs of many human experts are threatened, and this also applies to the legal profession. This study attempted to investigate whether AI can actually replace humans in the legal profession, especially the role of judges making final judgments. For this purpose, from the perspective of uniqueness neglect, this study was conducted to confirm the effect of involvement and the severity on acceptance of the judgment made by the AI judge (Experiment 1) and the AI jury (Experiment 2). The involvement was manipulated as if the subject who was sentenced for committing a crime was his or her family (mother, father) or stranger, and the severity was manipulated by the extent of the damage, the perception of the crime, and the number of applied crimes. In Experiment 1, the interactive effect of involvement and severity was found. Specifically, when the involvement was low, the acceptance of AI judges was higher in high severity (vs. low severity). Conversely, when the involvement was high, the acceptance of AI judges was higher in low severity (vs. high severity). The same interactions as in Experiment 1 occurred in Experiment 2. Specifically, when the involvement was low, a larger number of AI jury members were allocated in high severity (vs. low severity). On the other hand, when the involvement was high, the number of AI juries increased in low severity (vs. high severity). This study has implications in that it is the first experimental study in Korea on artificial intelligence legal judgment and that it presents the prospects for the jobs of legal experts.

The Effect of AI Chatbot Service Experience and Relationship Quality on Continuous Use Intention and Recommendation Intention (AI챗봇 서비스 사용경험이 관계품질과 행동의도에 미치는 영향)

  • Choi, Sang Mook;Choi, Do Young
    • Journal of Service Research and Studies
    • /
    • v.13 no.3
    • /
    • pp.82-104
    • /
    • 2023
  • This study analyzes the effect of users' experiences using AI chatbot services on relationship quality and behavioral intention. For the study, a survey was conducted on users who experienced AI chatbot services, and the research hypothesis was verified by analyzing the final 299 copies of valid data. As a result of the analysis, it was confirmed that satisfaction and trust, which are the relationship quality dimensions of AI chatbot service, were formed in users through the cognitive experience, emotional experience, and relational experience. In addition, it was confirmed that satisfaction and trust have a positive effect on the intention to continue using and recommending AI chatbot services, which correspond to the level of consumers' behavioral intentions, respectively. In addition, in terms of relationship quality, it was significant in all paths of the road of behavior, but in satisfaction, the path coefficient of the road of continuous use of AI chatbot and recommended road was significantly higher than the path coefficient in trust. This study provided a theoretical foundation that the relationship with relationship quality that affects behavioral intention also affects AI chatbot services in the online environment, and it is significant in that it suggests that relationship quality is an important mediating factor in establishing long-term relationships with consumers.

A Study on the Use of Retailtech and Intention to Accept Technology based on Experiential Marketing (체험마케팅에 기반한 리테일테크 활용과 기술수용의도에 관한 연구)

  • Sangho Lee;Kwangmoon Cho
    • Journal of Internet of Things and Convergence
    • /
    • v.10 no.2
    • /
    • pp.137-148
    • /
    • 2024
  • The purpose of this study is to determine how the use of retailtech technology affects consumers' purchase intention. Furthermore, this study aims to investigate the mediating effects of technology usefulness and ease of use on this influence relationship and whether experiential marketing moderates consumers' purchase intention. The survey was conducted from August 1, 2023 to September 30, 2023, and a total of 257 people participated in the study. For statistical analysis, hierarchical regression analysis, three-stage mediation regression analysis, and hierarchical three-stage controlled regression analysis were conducted to test the hypothesis. The results of the study are as follows. First, it was confirmed that big data-AI utilization, mobile-SNS utilization, live commerce utilization, and IoT utilization affect purchase intention in retail technology utilization. Second, technology usefulness has a mediating effect on IoT utilization, mobile-SNS utilization, and big data-AI utilization. Third, perceived ease of use of technology mediated the effects of IoT utilization, mobile-SNS utilization, live-commerce utilization, and big data-AI utilization. Fourth, escapist experience has a moderating effect on mobile SNS utilization and live commerce utilization. Fifth, esthetic experience has a moderating effect on mobile-SNS utilization and big data-AI utilization. Through this study, we hope that the domestic distribution industry will contribute to national competitiveness by securing the competitive advantage of companies by utilizing new technologies in entering the global market.

Metalorganic Chemical Vapor Deposition of Aluminum Thin Film for ULSI Using Dimethylethylamine Alane(DMEAA) (DMEAA를 이용한 초고집적 회로용 알루미늄 박막의 제조)

  • 이기호;김병엽;이시우
    • Journal of the Korean Vacuum Society
    • /
    • v.4 no.S1
    • /
    • pp.81-86
    • /
    • 1995
  • Aluminum has been deposited selectively on TiN surfaces in the presence of Si, SiO2 from Dimethyethylamine Alane(DMEAA). The film properties of the deopsited AI film were determined by various methods(SEM, Auger, UV-photospectrometer, Four point-probe, XRD). The effect of in-situ H2 plasma precleaning was studied. The effect of gap distance, pressure and temperature on the properties(crystallinity, resistance, grain size, morphology) of AI film and on the growth rates was investigated. It was found that the plasma precleaning promotes the growth rate and there exists optimum thmperature for maximum growth rate.

  • PDF

Studies on the Factors Affecting Barley Injury Caused by Herbicides in Drained Paddy Field (제초제에 의한 답리작맥 약해발생 요인구명에 관한 연구)

  • Whan-Seung Ryang
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.14
    • /
    • pp.147-157
    • /
    • 1973
  • I. The effect of excessive soil moisture(at the time of germination) on germination of barley and crop damage of herbicides was investigated. Machete(Butachlor) and TOK(Nitrofen) were treated, respectively, at the rate of 150g ai/10a on each pot whose different soil moisture content was controlled by suppling 30, 40, 50 and 60ml of water per 100gr of air-dried soil, respectively. The results are summarized as follows: 1. Excessive soil moisture beyond field moisture capacity caused great inhibition, from 20 to 100%, of the germination of barley even at untreated pots(check pots). Also, further development of root and growth of barley were greatly inhibited even though the seeds germinated. 2. The same tendency in inhibition of germination and growth as at untreated pots was observed at treated pots, too. As a whole, however, the damage were heavier at treated pots. II. Wanju naked spring barley was seeded on four different soils and covered with soil to a depth of 1 em, and then Machete, TOK, Saturn and HE-314 were treated at the rate of 180, 150 and 200, 150, and 250g ai/10a, respectively, and the effect of soil texture on crop damage of the herbicides was investigated. The results are summarized as follows: 1. Machete(emulsion and granule, at 180g ai/10a) The degree of crop damage was quite different from one soil texture to another: while almost no crop damage was observed on a clay loam soil regardless of the type of formulation, the damage became heavier as the soil texture became sandier as sandy clay loam, volcanic ash loam and sandy loam, and great inhibition of growth was observed on sandy loam soil. In general heavier damage was caused by the application of emulsion than by granular formulation. 2. TOK(Wettable powder, at 150, 250g ai/l0a) Almost the same tendency as in the application of Machete was observed, and the damage became heavier as the application rate increased. 3. Saturn(at l50g ai/l0a) No great difference in crop damage among soil textures was observed. 4. HE-3l4(at 250g ai/l0a) Almost no difference in crop damage among soil textures was observed at this rate of 250g ai/l0a. III. To study a difference of crop damage on soil covering depth(4 levels), 9 herbicides(TOK, MO, HE-3l4, Machete, Saturn, Simetryne, Simazine, Gesaran, Lorox) were treated on the pots with two different soils, and the effect of soil covering depth on crop damage of the herbicides was investigated. The results obtained in this experiment are summarized as follows: Light Clay Soil 1. The growth of barley in relation to depth of soil covering at check pots followed the order vigorous to weak; lcm>1.5cm>0.5cm>0cm. And in case of 0 and 0.5cm covering the growth of barley was very poor. 2. The damage at 0 and 0.5cm covering at treated pots was very severe, but Saturn, Machete, MO and TOK at 100 to l50g ai/l0a, respectively and He-3l4 at 250 to 375g ai/l0a were relatively safe to barley at the depths of lcm and above. 3. Simazine, Lorox and Simetryne caused slight damage even at 1.5cm covering. Sandy Loam Soil The growth of barley in relation to depth of soil covering at untreated pots followed the order, from vigorous to weak; 1.5cm 0.5cm 3cm 5cm. While MO was safe to barley at 1.5cm covering, for other chemicals more than 3cm covering was require for safe use. Machete and Saturn at 100g ai/l0a, and HE-3l4 at 250g ai/l0a was relatively safe at more than 3cm covering. Simazine, Lorox, Simetryne and Gesaran were unsafe on sandy soil regardless of covering depth.

  • PDF

Validation of the effectiveness of AI-Based Personalized Adaptive Learning: Focusing on basic math class cases (인공지능(AI) 기반 맞춤형 학습의 효과검증: 기초 수학수업 사례 중심으로)

  • Eunae Burm;Yeol-Eo Chun;Ji Youn Han
    • Journal of Internet of Things and Convergence
    • /
    • v.9 no.3
    • /
    • pp.35-43
    • /
    • 2023
  • This study tried to find out the applicability and effectiveness of the AI-based adaptive learning system in university classes by operating an AI-based adaptive learning system on a pilot basis. To this end, an AI-based adaptive learning system was applied to analyze the operation results of 42 learners who participated in basic mathematics classes, and a survey and in-depth interviews were conducted with students and professors. As a result of the study, the use of an AI-based customized learning system improved students' academic achievement. Both instructors and learners seem to contribute to improving learning performance in basic concept learning, and through this, the AI-based adaptive learning system is expected to be an effective way to enhance self-directed learning and strengthen knowledge through concept learning. It is expected to be used as basic data related to the introduction and application of basic science subjects for AI-based adaptive learning systems. In the future, we suggest a strategy study on how to use the analyzed data and to verify the effect of linking the learning process and analyzed data provided to students in AI-based customized learning to face-to-face classes.

Effect of Mixed Application of Cinosulfuron with Dymron on Rice (Cinosulfuron과 Dymron의 혼합처리(混合處理)가 수도(水稻)(Oryza sativa L.)의 초기생육(初期生育)에 미치는 영향(影響))

  • Choi, Y.S.;Kim, K.U.;Shin, D.H.
    • Korean Journal of Weed Science
    • /
    • v.12 no.2
    • /
    • pp.110-123
    • /
    • 1992
  • To investigate the safening effect of dymron against cinosulfuron, the responses of 104 rice cultivars and lines to single and mixture treatments of cinosulfuron [3-(4.6-dimethoxy-1,3,5-triazin-2-yl)-1-[2-(2-methoxyethoxy)-phenylsulfonyl]-urea] and dymron [1-(${\alpha}$, ${\alpha}$-dimethylbenzyl)-3-p-tolyl urea] were evaluated. The responses of 104 rice cultivars and lines to cinosulfuron were differed. Among the rice cultivars, growth of Calrose, Dasukei, Hwajinhyeo, and Milyang 105 was significantly inhibited by cinosulfuron but there was no inhibition in Daeseongbyeo, Iri 371, Jangseongbyeo, Taebaegbyeo and IR 74. The japonica types were generally inhibited more than the indica and indica${\times}$japonica types. When Kwangmyungbyeo was treated with the mixtures of cinosulfuron 48g and 96g ai/ha with dymron 450g ai/ha, the inhibition of plant height was significantly reduced regardless of dymron concentrations. With increase in cinosulfuron concentration, the safening effect of dymron against cinosulfuron was more evident in plant height than fresh weight. On the other hand, dymron did not have any safening effects of cinosulfuron on Echinochloa crus-galli at any concentrations. The mixtures of dymron and cinosulfuron produced antagonistic effects on the plant height regardless of rice cultivars and treatment concentrations. At cinosulfuron 24g ai/ha, the effects of the mixtures of cinosulfuron and brassinolide on the plant height of Kwangmyungbyeo and IR 74 were similar irrespective of brassinolide concentrations but the inhibition of Kwangmyungbyeo was greater than that of IR 74 as the concentrations of cinosulfuron increased. The effects of the mixtures of cinosulfuron at concentration of 96g ai/ha with various ABA levels on the plant height of both Kwangmyungbyeo and IR 74 showed synergistic effect regardless of ABA concentration. However, the response of fresh weight of both cultivars treated with cinosulfuron at 96g ai/ha with ABA synergisism was observed in Kwangyungbyeo while IR 74 showed antagonism.

  • PDF

Gender-Related Differences in the Second Derivative of Photoplethysmogram Waveforms in the Fourth Decade (30대 성인남녀의 성별에 따른 가속도맥파 차이에 관한 연구)

  • 남동현;박연재;박영배
    • The Journal of Korean Medicine
    • /
    • v.23 no.3
    • /
    • pp.1-10
    • /
    • 2002
  • Objective: There exist gender differences in pulsatile contour waveform. Women have a greater age-related increase in left ventricular mass than do men and more likely to experience symptomatic heart failure after infarction. SDPTG (the second derivative of photoplethysmogram waveform) is a noninvasive method for evaluating the pulse wave and is correlated with age and other risk factors for atherosclerosis. We studied the effect of gender on SDPTG and made clear why the gender differences appear. Methods: To study the effects of effect factors, including height and blood pressure, on SDPTG in the fourth decade, data on height, weight, PTD (pulse transit distance), blood pressure, serum lipid levels, and SDPTG were collected in 115 laboratory healthy men and women. SDPTG is derived from double-differential processing of fingertip photoplethysmography and consists of a, b, c, and d waves in systole and an e wave in diastole; SDPTG aging index (AI) was calculated as (b-c-d-e)/a. Results: There were significant gender-related differences of SDPTG AI, height, and blood pressure. Age, height, and mean blood pressure were respectively and significantly correlated with SDPTG AI. SDPTG is dependent upon age, height, and blood pressure. Restricting analysis to SDPTG AI, age, height, and mean blood pressure, yielded that there were gender-related differences in SDPTG AI (P<0.05) which were derived from those of height (F<0.001, df=l, P=0.994). Conclusions: These new data may help to explain previous findings about age-related differences in pulsatile contour waveforms and why gender differences of SDPTG appear. The results of this study suggest that SDPTG AI, used for evaluation of biological vascular aging, should be calibrated by height as well as age and blood pressure.

  • PDF