• 제목/요약/키워드: absolute terms

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주역 점(占)의 실제 체험-죽음, 신 그리고 사랑: 아버지의 영전(靈前)에서 (Actual Experience of the Oracle of the I Ching-Death, God and Love: In Front of My Father's Spirit)

  • 이주현;이부영
    • 심성연구
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    • 제37권2호
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    • pp.149-183
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    • 2022
  • 동시성 현상으로서 이해되는 주역 점(占)을 체험하기 위해서는 사람이 곤경에 처했을 때, 즉 의식이 한계에 도달했을 때 진지한 마음으로 물음을 던지는 종교적 자세(religo)가 전제되어야 한다. 그것은 단지 수동적인 자세가 아니라 지금 내가 무엇을 할 수 있는지를 묻는, 겸손하지만 적극적인 자세이다. 초의식과 접속하여 신탁을 얻는 주역 점의 체험은 의식의 자아가 무의식의 원형과 대화와 토론을 시도하는 적극적 명상과 일맥상통하며, '무의식의 절대지, 자기원형의 리듬을 찾아가는 과정'이다. 나는 부친상을 당하기 1달 전, 대화가 불가능한 아버지를 간병하면서 '지금 아버지와 나를 위해 무엇을 할 수 있습니까?' 라는 질문을 던지고 주역 점을 쳐서 주역의 19번째 괘, 지택 임괘(地澤 臨卦)초구 '함림정길(咸臨貞吉), 지행정야(志行正也)'를 점괘로 얻었다. 이 점괘를 통해 자연의 섭리에 '기쁘게 순종'하면서 겨울 뒤에 찾아올 봄을 기다리는 심정으로 죽음 이후 생을 기다리는 자세, 그리고 통속적인 이해타산을 넘어서는 인간 마음 속에서 우러나오는, 무한한 것(분석심리학적 용어로는 '자기[Self]')과의 만남에서 얻은 감동을 굳건한 마음으로 지켜가는 것이 인생의 참뜻을 바르게 행하는 것임을 나는 배울 수 있었다. 그리고 부친상 6개월 전에 꾼, '저승'에 대한 꿈에서 '죽음 뒤에도 이어지는 것이 있다는 것이 진실'이라는 직접적인 메시지의 충격 이외에도 확충의 과정을 통해 드러난 폐쇄 병동과 황천의 유사성-내향화를 통한 정신의 재생, 하얀 철문-, '영원을 향한 창문'을 통해 통과의례를 거쳐 새로운 것을 받아들이려는, 열린 태도의 중요성을 배웠다. 그리고 천주교의 교리 '성인의 통공'-산 자와 죽은 자가 서로를 도우며 나선형으로 순환하는 과정-이 우리의 정신 내에서 의식과 무의식이 상호작용하는 개성화 과정의 상징으로서 뿐만 아니라 실제일 수도 있다는 조그마한 희망을 아버지의 장례식에서 진행된 '연도(煉禱)'의례를 통해 어렴풋이 품게 되었다. 그리고 인생에서 만난 많은 인연들의 조문을 통해 받은 위로 속에서 무한한 것과 접촉하여 맺어지는 길은 바로 눈 앞에 있는 존재들과 사랑하는 것이 그 시작이라는 답을 나는 우선 얻었다. 이러한 연속적인 체험을 분석심리학적 입장에서 이해하고자 했다.

Information Privacy Concern in Context-Aware Personalized Services: Results of a Delphi Study

  • Lee, Yon-Nim;Kwon, Oh-Byung
    • Asia pacific journal of information systems
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    • 제20권2호
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    • pp.63-86
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    • 2010
  • Personalized services directly and indirectly acquire personal data, in part, to provide customers with higher-value services that are specifically context-relevant (such as place and time). Information technologies continue to mature and develop, providing greatly improved performance. Sensory networks and intelligent software can now obtain context data, and that is the cornerstone for providing personalized, context-specific services. Yet, the danger of overflowing personal information is increasing because the data retrieved by the sensors usually contains privacy information. Various technical characteristics of context-aware applications have more troubling implications for information privacy. In parallel with increasing use of context for service personalization, information privacy concerns have also increased such as an unrestricted availability of context information. Those privacy concerns are consistently regarded as a critical issue facing context-aware personalized service success. The entire field of information privacy is growing as an important area of research, with many new definitions and terminologies, because of a need for a better understanding of information privacy concepts. Especially, it requires that the factors of information privacy should be revised according to the characteristics of new technologies. However, previous information privacy factors of context-aware applications have at least two shortcomings. First, there has been little overview of the technology characteristics of context-aware computing. Existing studies have only focused on a small subset of the technical characteristics of context-aware computing. Therefore, there has not been a mutually exclusive set of factors that uniquely and completely describe information privacy on context-aware applications. Second, user survey has been widely used to identify factors of information privacy in most studies despite the limitation of users' knowledge and experiences about context-aware computing technology. To date, since context-aware services have not been widely deployed on a commercial scale yet, only very few people have prior experiences with context-aware personalized services. It is difficult to build users' knowledge about context-aware technology even by increasing their understanding in various ways: scenarios, pictures, flash animation, etc. Nevertheless, conducting a survey, assuming that the participants have sufficient experience or understanding about the technologies shown in the survey, may not be absolutely valid. Moreover, some surveys are based solely on simplifying and hence unrealistic assumptions (e.g., they only consider location information as a context data). A better understanding of information privacy concern in context-aware personalized services is highly needed. Hence, the purpose of this paper is to identify a generic set of factors for elemental information privacy concern in context-aware personalized services and to develop a rank-order list of information privacy concern factors. We consider overall technology characteristics to establish a mutually exclusive set of factors. A Delphi survey, a rigorous data collection method, was deployed to obtain a reliable opinion from the experts and to produce a rank-order list. It, therefore, lends itself well to obtaining a set of universal factors of information privacy concern and its priority. An international panel of researchers and practitioners who have the expertise in privacy and context-aware system fields were involved in our research. Delphi rounds formatting will faithfully follow the procedure for the Delphi study proposed by Okoli and Pawlowski. This will involve three general rounds: (1) brainstorming for important factors; (2) narrowing down the original list to the most important ones; and (3) ranking the list of important factors. For this round only, experts were treated as individuals, not panels. Adapted from Okoli and Pawlowski, we outlined the process of administrating the study. We performed three rounds. In the first and second rounds of the Delphi questionnaire, we gathered a set of exclusive factors for information privacy concern in context-aware personalized services. The respondents were asked to provide at least five main factors for the most appropriate understanding of the information privacy concern in the first round. To do so, some of the main factors found in the literature were presented to the participants. The second round of the questionnaire discussed the main factor provided in the first round, fleshed out with relevant sub-factors. Respondents were then requested to evaluate each sub factor's suitability against the corresponding main factors to determine the final sub-factors from the candidate factors. The sub-factors were found from the literature survey. Final factors selected by over 50% of experts. In the third round, a list of factors with corresponding questions was provided, and the respondents were requested to assess the importance of each main factor and its corresponding sub factors. Finally, we calculated the mean rank of each item to make a final result. While analyzing the data, we focused on group consensus rather than individual insistence. To do so, a concordance analysis, which measures the consistency of the experts' responses over successive rounds of the Delphi, was adopted during the survey process. As a result, experts reported that context data collection and high identifiable level of identical data are the most important factor in the main factors and sub factors, respectively. Additional important sub-factors included diverse types of context data collected, tracking and recording functionalities, and embedded and disappeared sensor devices. The average score of each factor is very useful for future context-aware personalized service development in the view of the information privacy. The final factors have the following differences comparing to those proposed in other studies. First, the concern factors differ from existing studies, which are based on privacy issues that may occur during the lifecycle of acquired user information. However, our study helped to clarify these sometimes vague issues by determining which privacy concern issues are viable based on specific technical characteristics in context-aware personalized services. Since a context-aware service differs in its technical characteristics compared to other services, we selected specific characteristics that had a higher potential to increase user's privacy concerns. Secondly, this study considered privacy issues in terms of service delivery and display that were almost overlooked in existing studies by introducing IPOS as the factor division. Lastly, in each factor, it correlated the level of importance with professionals' opinions as to what extent users have privacy concerns. The reason that it did not select the traditional method questionnaire at that time is that context-aware personalized service considered the absolute lack in understanding and experience of users with new technology. For understanding users' privacy concerns, professionals in the Delphi questionnaire process selected context data collection, tracking and recording, and sensory network as the most important factors among technological characteristics of context-aware personalized services. In the creation of a context-aware personalized services, this study demonstrates the importance and relevance of determining an optimal methodology, and which technologies and in what sequence are needed, to acquire what types of users' context information. Most studies focus on which services and systems should be provided and developed by utilizing context information on the supposition, along with the development of context-aware technology. However, the results in this study show that, in terms of users' privacy, it is necessary to pay greater attention to the activities that acquire context information. To inspect the results in the evaluation of sub factor, additional studies would be necessary for approaches on reducing users' privacy concerns toward technological characteristics such as highly identifiable level of identical data, diverse types of context data collected, tracking and recording functionality, embedded and disappearing sensor devices. The factor ranked the next highest level of importance after input is a context-aware service delivery that is related to output. The results show that delivery and display showing services to users in a context-aware personalized services toward the anywhere-anytime-any device concept have been regarded as even more important than in previous computing environment. Considering the concern factors to develop context aware personalized services will help to increase service success rate and hopefully user acceptance for those services. Our future work will be to adopt these factors for qualifying context aware service development projects such as u-city development projects in terms of service quality and hence user acceptance.