Sabrina Livanec, Michael Stumpf, Lisa Reuter, Julius Fenn, A. Kiesel
{"title":"谁会用这个?新兴技术的接受预测与认知-情感映射和跨学科的考虑在人类世","authors":"Sabrina Livanec, Michael Stumpf, Lisa Reuter, Julius Fenn, A. Kiesel","doi":"10.1177/20530196221078924","DOIUrl":null,"url":null,"abstract":"In the Anthropocene, mankind is facing enormous challenges. Science and technology obviously have an essential role to play in addressing these challenges but have to be supplemented by the collaboration of different actors from the scientific and non-scientific community. Possibly beneficial technologies can only unfold their full potential if they are socially accepted. Participation and transdisciplinarity are key concepts in this regard. The need for methods fostering collaborative knowledge production and reverse communication from the public to the scientific community is accordingly high. In this article, we propose to apply Cognitive-Affective Mapping (CAM) to predict psychological acceptance of novel research fields and potentially resulting technologies. As an example, we use life-like materials systems. CAM enables acceptance prediction at an early stage—already for basic research when prototypes are not yet available. The method bridges the gap between qualitative and quantitative research traditions. Its product—Cognitive-Affective Maps (CAMs)—is a vivid visual tool. In perspective, CAM-based technology acceptance assessment can be conceived as a participatory, transdisciplinary practice.","PeriodicalId":74943,"journal":{"name":"The anthropocene review","volume":"9 1","pages":"276 - 295"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Who’s gonna use this? Acceptance prediction of emerging technologies with Cognitive-Affective Mapping and transdisciplinary considerations in the Anthropocene\",\"authors\":\"Sabrina Livanec, Michael Stumpf, Lisa Reuter, Julius Fenn, A. Kiesel\",\"doi\":\"10.1177/20530196221078924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the Anthropocene, mankind is facing enormous challenges. Science and technology obviously have an essential role to play in addressing these challenges but have to be supplemented by the collaboration of different actors from the scientific and non-scientific community. Possibly beneficial technologies can only unfold their full potential if they are socially accepted. Participation and transdisciplinarity are key concepts in this regard. The need for methods fostering collaborative knowledge production and reverse communication from the public to the scientific community is accordingly high. In this article, we propose to apply Cognitive-Affective Mapping (CAM) to predict psychological acceptance of novel research fields and potentially resulting technologies. As an example, we use life-like materials systems. CAM enables acceptance prediction at an early stage—already for basic research when prototypes are not yet available. The method bridges the gap between qualitative and quantitative research traditions. Its product—Cognitive-Affective Maps (CAMs)—is a vivid visual tool. In perspective, CAM-based technology acceptance assessment can be conceived as a participatory, transdisciplinary practice.\",\"PeriodicalId\":74943,\"journal\":{\"name\":\"The anthropocene review\",\"volume\":\"9 1\",\"pages\":\"276 - 295\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The anthropocene review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/20530196221078924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The anthropocene review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20530196221078924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Who’s gonna use this? Acceptance prediction of emerging technologies with Cognitive-Affective Mapping and transdisciplinary considerations in the Anthropocene
In the Anthropocene, mankind is facing enormous challenges. Science and technology obviously have an essential role to play in addressing these challenges but have to be supplemented by the collaboration of different actors from the scientific and non-scientific community. Possibly beneficial technologies can only unfold their full potential if they are socially accepted. Participation and transdisciplinarity are key concepts in this regard. The need for methods fostering collaborative knowledge production and reverse communication from the public to the scientific community is accordingly high. In this article, we propose to apply Cognitive-Affective Mapping (CAM) to predict psychological acceptance of novel research fields and potentially resulting technologies. As an example, we use life-like materials systems. CAM enables acceptance prediction at an early stage—already for basic research when prototypes are not yet available. The method bridges the gap between qualitative and quantitative research traditions. Its product—Cognitive-Affective Maps (CAMs)—is a vivid visual tool. In perspective, CAM-based technology acceptance assessment can be conceived as a participatory, transdisciplinary practice.